{
  "schemaVersion": "1.0.0",
  "title": {
    "zh": "OpenAI、Anthropic、Google DeepMind：人才结构对比",
    "en": "OpenAI, Anthropic, Google DeepMind: Comparing Talent Structures"
  },
  "updatedAt": "2026-09-08",
  "companies": [
    {
      "id": "openai",
      "name": "OpenAI",
      "summary": {
        "zh": "产品／设计在美国样本中的占比较高，技术职称以 MTS 为主。",
        "en": "Product / Design has a larger share in the US sample; MTS dominates the technical titles."
      },
      "boundary": {
        "zh": "M1 / M2 为报告识别出的公司档案，未完整披露法律实体与合同工处理。不是 OpenAI Foundation 或全球运营实体的官方全员编制。",
        "en": "M1 / M2 use report-identified company profiles; legal-entity and contractor treatment are not fully disclosed. These are not official Foundation or global operating-company rosters."
      }
    },
    {
      "id": "anthropic",
      "name": "Anthropic",
      "summary": {
        "zh": "同一美国样本中，商业与客户岗位（GTM／Customer）的占比更高。",
        "en": "Commercial and customer roles (GTM / Customer) have a larger share in the same US sample."
      },
      "boundary": {
        "zh": "报告中的 Anthropic 档案样本不等于 Anthropic PBC 全球全员。官方 security-adjacent 披露另属历史交叉类别。",
        "en": "Report-identified Anthropic profiles are not a global Anthropic PBC census. Official security-adjacent disclosure is a separate historical, cross-functional measure."
      }
    },
    {
      "id": "deepmind",
      "name": "Google DeepMind",
      "summary": {
        "zh": "技术样本中，研究科学家与研究工程师的职称分工更清晰。",
        "en": "Technical profiles show a clearer distinction between research scientist and research engineer titles."
      },
      "boundary": {
        "zh": "G1 确认 Google DeepMind 是 DeepMind 与 Brain 合并后的团队；G2 明确英国 DeepMind Technologies Limited 的人员由其他 Alphabet 公司直接雇用。团队、法律实体与母公司不能互换。",
        "en": "G1 identifies the combined DeepMind and Brain unit. G2 states that DeepMind Technologies Limited’s workforce is employed by other Alphabet companies. Team, legal entity and parent company are distinct."
      }
    }
  ],
  "sources": [
    {
      "id": "M1",
      "publisher": "Metix AI",
      "title": "OpenAI, Anthropic and xAI Talent Structure Benchmark",
      "url": "https://metix.ai/reports/mapping/openai-anthropic-xai-talent-structure",
      "publishedAt": "2026-07-23",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "职能及前雇主：美国在职档案，OpenAI n=5,313，Anthropic n=2,612；未覆盖 Google DeepMind。",
        "en": "Functions and prior employers: US current-employment profiles, OpenAI n=5,313; Anthropic n=2,612. Google DeepMind is outside scope."
      },
      "limitations": {
        "zh": "商业人才数据库样本，可靠性有限：精确快照、分类优先级、MTS 归类规则、合同工边界及独立质量审计未披露。只转录原报告标签，不视为真实编制。",
        "en": "Commercial talent-database sample, with limited reliability: exact snapshot, classification precedence, MTS assignment, contractor boundary and independent validation are not disclosed. Labels are transcribed, not treated as actual staffing."
      },
      "modifiedAt": "2026-08-20",
      "evidenceGrade": "limited_sample"
    },
    {
      "id": "M2",
      "publisher": "Metix AI",
      "title": "Frontier AI Labs Talent Landscape & Flow Map",
      "url": "https://metix.ai/reports/mapping/frontier-ai-labs-talent-2026",
      "publishedAt": "2026-06-11",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "约 2026 年上半年；美、英、法。三家技术池分别 n=2,628 / 1,251 / 2,837；技术池排除 solutions/product/GTM。",
        "en": "Approximately H1 2026; US, UK and France. Technical pools n=2,628 / 1,251 / 2,837; solutions/product/GTM excluded."
      },
      "limitations": {
        "zh": "按 title/headline 识别，未独立验证。Google 主体名下的 DeepMind 人员可能漏计；技术池层级示例与部分排除项存在边界张力。原文留存排序叙事与表值不一致，本页不采纳该叙事。",
        "en": "Title/headline classification without independent validation. DeepMind staff listed under Google may be missed; some hierarchy examples blur stated exclusions. The retention narrative conflicts with its table and is excluded here."
      },
      "modifiedAt": "2026-08-20",
      "evidenceGrade": "limited_sample"
    },
    {
      "id": "B1",
      "publisher": "BCG Henderson Institute",
      "title": "Where Will Tomorrow’s AI Geniuses Go?",
      "url": "https://web-assets.bcg.com/4c/15/9ce4a0274a7cafc0d9a9b13ae32c/rapport-bcg-where-will-tomorrows-ai-geniuses-go-july2025.pdf",
      "publishedAt": "2025-07-21",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "2024 年 H-1B 相关职位工资；PDF 第 7 页说明、第 8 页 Exhibit 5.2。",
        "en": "2024 H-1B-related position salaries; explanation on PDF page 7 and Exhibit 5.2 on page 8."
      },
      "limitations": {
        "zh": "图注列 DOL、Levels.fyi、BCG 分析。未披露各公司记录数、均值／中位数、职级构成和法律实体；不含奖金与股权。招聘者调查 N=40 不是薪资样本量。",
        "en": "Chart cites DOL, Levels.fyi and BCG analysis. Company record counts, mean/median, seniority mix and legal entities are not specified. Bonuses and equity excluded. The recruiter survey N=40 is not the salary sample."
      },
      "evidenceGrade": "institutional_analysis"
    },
    {
      "id": "S1",
      "publisher": "SignalFire",
      "title": "State of Talent Report 2026",
      "url": "https://www.signalfire.com/blog/signalfire-state-of-talent-report-2026",
      "publishedAt": "2026-06-22",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "第 5 节 Frontier AI Labs：OpenAI、Anthropic、Google DeepMind、xAI、Mistral、Cohere 六家汇总。",
        "en": "Section 5 Frontier AI Labs: an aggregate of OpenAI, Anthropic, Google DeepMind, xAI, Mistral and Cohere."
      },
      "limitations": {
        "zh": "公开版本未给这项分析的逐公司职能表及样本量。六家合计不能拆给本篇三家。",
        "en": "Public version does not provide company-level function tables or sample counts for this analysis. A six-lab aggregate cannot be allocated to the three companies."
      },
      "evidenceGrade": "institutional_analysis",
      "use": "methodology_only"
    },
    {
      "id": "G1",
      "publisher": "Google DeepMind",
      "title": "Announcing Google DeepMind",
      "url": "https://deepmind.google/blog/announcing-google-deepmind/",
      "publishedAt": "2023-04-20",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "官方组织边界：DeepMind 与 Google Research 的 Brain 团队合并为 Google DeepMind。",
        "en": "Official organizational boundary: DeepMind and Google Research’s Brain team combined into Google DeepMind."
      },
      "limitations": {
        "zh": "组织说明，不是职能人数披露；不能用 Google 或 Alphabet 全员替代。",
        "en": "Organizational announcement, not a staffing breakdown. Google or Alphabet headcount cannot substitute."
      },
      "evidenceGrade": "official"
    },
    {
      "id": "G2",
      "publisher": "DeepMind Technologies Limited / Companies House",
      "title": "Report and Financial Statements, year ended 31 December 2024",
      "url": "https://find-and-update.company-information.service.gov.uk/company/07386350/filing-history/MzQ4Mjk4NjY3OWFkaXF6a2N4/document?format=pdf&download=0",
      "publishedAt": "2025-10-02 (filed)",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "英国法律实体 07386350；印刷第 3 页 Our people，PDF 第 4 页；第 20 页附注 7。",
        "en": "UK legal entity 07386350; printed page 3, Our people (PDF page 4), and note 7 on printed page 20."
      },
      "limitations": {
        "zh": "明确人员由其他 Alphabet 集团公司直接雇用，且成本包含集团转收。本实体财报不能当作 Google DeepMind 全球员工名册或直接计算全员平均薪资。",
        "en": "Workforce is directly employed by other Alphabet group companies and costs include group recharges. These accounts are not a global Google DeepMind roster or a basis for its average employee pay."
      },
      "evidenceGrade": "official",
      "verified": "Original filing downloaded and relevant pages visually inspected."
    },
    {
      "id": "A1",
      "publisher": "Anthropic",
      "title": "Reflections on our Responsible Scaling Policy",
      "url": "https://www.anthropic.com/news/reflections-on-our-responsible-scaling-policy",
      "publishedAt": "2024-05-20",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "官方披露当时约 8% 全员从事 security-adjacent areas。",
        "en": "Official disclosure that around 8% of employees worked in security-adjacent areas at that time."
      },
      "limitations": {
        "zh": "历史时点、交叉类别；没有人数及总分母人数。Security-adjacent 不等于 AI safety、法务或政策团队，不能与它们相加。",
        "en": "Historical, cross-functional category. Employee counts not supplied. Security-adjacent does not mean AI safety, legal or policy, and must not be added to those categories."
      },
      "evidenceGrade": "official"
    },
    {
      "id": "X1",
      "publisher": "Metix AI",
      "title": "OpenAI Engineering Talent X-Ray",
      "url": "https://metix.ai/reports/mapping/openai-engineering-xray-2026",
      "publishedAt": "2026-06-15",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "约 2026 年上半年，OpenAI 技术档案 n=3,041。",
        "en": "Approximately H1 2026, OpenAI technical profiles n=3,041."
      },
      "limitations": {
        "zh": "与 M2 地域及分类口径不同。职业年限从最早记录起算；历史雇主可重复。当前页引用 Anthropic 的旧博士比例，本页不采纳该转述。",
        "en": "Different geography and classification from M2. Career duration starts at the earliest record; historical employers overlap. A stale Anthropic PhD figure in the current page is not adopted."
      },
      "evidenceGrade": "limited_sample"
    },
    {
      "id": "X2",
      "publisher": "Metix AI",
      "title": "Anthropic Engineering Talent X-Ray",
      "url": "https://metix.ai/reports/mapping/anthropic-engineering-xray-2026",
      "publishedAt": "2026-06-15",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "当前原文技术档案 n=1,281；约 2026 年上半年。",
        "en": "Current original page: technical profiles n=1,281; approximately H1 2026."
      },
      "limitations": {
        "zh": "旧索引样本与当前原文不同。年限有效样本数未单列；历史雇主每人每公司一次，多公司可重复；排除大学，不可推断学术背景缺失。",
        "en": "Older indexed sample differs from the current source. Valid career-duration n is not separately given. Historical employers count once per person/company and overlap across companies; universities excluded."
      },
      "evidenceGrade": "limited_sample"
    },
    {
      "id": "R1",
      "publisher": "Revelio Labs",
      "title": "DeepMind employee count and department mix",
      "url": "https://www.reveliolabs.com/companies/deepmind/employees",
      "publishedAt": "2026-08",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "已读取 2026 年 3 月公司页；实体写作 DeepMind Technologies Ltd.。",
        "en": "March 2026 company data page reviewed; entity named DeepMind Technologies Ltd."
      },
      "limitations": {
        "zh": "未采纳：公开部门总计与总人数不一致，且同比增量与百分比不一致；全球团队实体边界未解明。不能用来补齐第三列。",
        "en": "Excluded: department totals differ from headcount, and year-over-year absolute changes conflict with percentages. Global team boundary unresolved; not used to fill the third column."
      },
      "evidenceGrade": "excluded_consistency",
      "use": "audit_only"
    },
    {
      "id": "Z1",
      "publisher": "Zeki Data",
      "title": "Bellwethers of AI: OpenAI, Anthropic, Mistral AI",
      "url": "https://zekidata.com/report/bellwethers-of-ai-openai-anthropic-mistral-ai/",
      "publishedAt": "Not established / 未确认",
      "accessedAt": "2026-09-08",
      "scope": {
        "zh": "已读产品介绍；完整报告需要申请访问。",
        "en": "Product description reviewed; full report requires access."
      },
      "limitations": {
        "zh": "本次未取得全文，不能写成机构未披露；其列出的第三家是 Mistral AI。",
        "en": "Full report not obtained in this review; this is not a claim of non-disclosure. The third named company is Mistral AI."
      },
      "evidenceGrade": "not_obtained",
      "use": "audit_only"
    }
  ],
  "observations": [
    {
      "id": "function-research-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "research",
      "label": {
        "zh": "Research / Models（原标签）",
        "en": "Research / Models (source label)"
      },
      "value": 6.8,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=5313，不是全球全员",
        "en": "Company US current-employment profiles n=5313, not global staff"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "MTS 如何归入此分类未披露；只可比较报告标签，不能解释为完整研究或工程团队。人数未公布，不反推。",
        "en": "MTS assignment undisclosed. Compare report labels only, not complete research or engineering teams. Counts unpublished; not back-calculated."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-research-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "research",
      "label": {
        "zh": "Research / Models（原标签）",
        "en": "Research / Models (source label)"
      },
      "value": 4.4,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=2612，不是全球全员",
        "en": "Company US current-employment profiles n=2612, not global staff"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "MTS 如何归入此分类未披露；只可比较报告标签，不能解释为完整研究或工程团队。人数未公布，不反推。",
        "en": "MTS assignment undisclosed. Compare report labels only, not complete research or engineering teams. Counts unpublished; not back-calculated."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-engineering-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "engineering",
      "label": {
        "zh": "Engineering（原标签）",
        "en": "Engineering (source label)"
      },
      "value": 44.7,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=5313，不是全球全员",
        "en": "Company US current-employment profiles n=5313, not global staff"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "MTS 如何归入此分类未披露；只可比较报告标签，不能解释为完整研究或工程团队。人数未公布，不反推。",
        "en": "MTS assignment undisclosed. Compare report labels only, not complete research or engineering teams. Counts unpublished; not back-calculated."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-engineering-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "engineering",
      "label": {
        "zh": "Engineering（原标签）",
        "en": "Engineering (source label)"
      },
      "value": 41.6,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=2612，不是全球全员",
        "en": "Company US current-employment profiles n=2612, not global staff"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "MTS 如何归入此分类未披露；只可比较报告标签，不能解释为完整研究或工程团队。人数未公布，不反推。",
        "en": "MTS assignment undisclosed. Compare report labels only, not complete research or engineering teams. Counts unpublished; not back-calculated."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-product-design-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "product-design",
      "label": {
        "zh": "产品／设计",
        "en": "Product / Design"
      },
      "value": 12.7,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=5313，不是全球全员",
        "en": "Company US current-employment profiles n=5313, not global staff"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "样本分类占比；精确人数未披露，不能反推或乘全球人数。",
        "en": "Classified sample share; exact counts unpublished. Do not back-calculate or multiply by global headcount."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-product-design-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "product-design",
      "label": {
        "zh": "产品／设计",
        "en": "Product / Design"
      },
      "value": 6.8,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=2612，不是全球全员",
        "en": "Company US current-employment profiles n=2612, not global staff"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "样本分类占比；精确人数未披露，不能反推或乘全球人数。",
        "en": "Classified sample share; exact counts unpublished. Do not back-calculate or multiply by global headcount."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-people-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "people",
      "label": {
        "zh": "人力／招聘",
        "en": "People / Recruiting"
      },
      "value": 6.4,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=5313，不是全球全员",
        "en": "Company US current-employment profiles n=5313, not global staff"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "样本分类占比；精确人数未披露，不能反推或乘全球人数。",
        "en": "Classified sample share; exact counts unpublished. Do not back-calculate or multiply by global headcount."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-people-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "people",
      "label": {
        "zh": "人力／招聘",
        "en": "People / Recruiting"
      },
      "value": 7.1,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=2612，不是全球全员",
        "en": "Company US current-employment profiles n=2612, not global staff"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "样本分类占比；精确人数未披露，不能反推或乘全球人数。",
        "en": "Classified sample share; exact counts unpublished. Do not back-calculate or multiply by global headcount."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-gtm-customer-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "gtm-customer",
      "label": {
        "zh": "GTM／Customer（合并）",
        "en": "GTM / Customer (combined)"
      },
      "value": 12.7,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=5313，不是全球全员",
        "en": "Company US current-employment profiles n=5313, not global staff"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "合并类别，未拆销售／BD 与客户成功，也可能含其他面向客户岗位；人数未公布。",
        "en": "Combined category; sales/BD and customer success are not separated and other customer-facing roles may be included. Counts unpublished."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-gtm-customer-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "gtm-customer",
      "label": {
        "zh": "GTM／Customer（合并）",
        "en": "GTM / Customer (combined)"
      },
      "value": 22.6,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=2612，不是全球全员",
        "en": "Company US current-employment profiles n=2612, not global staff"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "合并类别，未拆销售／BD 与客户成功，也可能含其他面向客户岗位；人数未公布。",
        "en": "Combined category; sales/BD and customer success are not separated and other customer-facing roles may be included. Counts unpublished."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-corporate-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "corporate",
      "label": {
        "zh": "Corporate Functions（合并）",
        "en": "Corporate Functions (combined)"
      },
      "value": 10.9,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=5313，不是全球全员",
        "en": "Company US current-employment profiles n=5313, not global staff"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "原 Corporate Functions 标签；财务、法务／政策、运营／行政未单列，不分配总比例。",
        "en": "Original Corporate Functions label; finance, legal/policy and operations/admin are not separately provided. Share is not allocated to subfunctions."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-corporate-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "corporate",
      "label": {
        "zh": "Corporate Functions（合并）",
        "en": "Corporate Functions (combined)"
      },
      "value": 12.7,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该公司美国在职档案 n=2612，不是全球全员",
        "en": "Company US current-employment profiles n=2612, not global staff"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国、多职能档案；限原分类",
        "en": "US, multi-function profiles; original classification"
      },
      "caveat": {
        "zh": "原 Corporate Functions 标签；财务、法务／政策、运营／行政未单列，不分配总比例。",
        "en": "Original Corporate Functions label; finance, legal/policy and operations/admin are not separately provided. Share is not allocated to subfunctions."
      },
      "evidenceLocator": {
        "zh": "第 02 节，各公司 Role mix",
        "en": "Section 02, company Role mix"
      }
    },
    {
      "id": "function-sales-bd-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "sales-bd",
      "label": {
        "zh": "销售／商业拓展",
        "en": "Sales / business development"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "M1 美国样本 n=5313；该子职能人数与比例未披露",
        "en": "M1 US sample n=5313; subfunction counts and shares undisclosed"
      },
      "denominatorValue": null,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 美国样本",
        "en": "M1 US sample"
      },
      "caveat": {
        "zh": "只取得合并类别，见下方合并行。SignalFire 六家汇总不可拆给单家公司。",
        "en": "Only combined categories obtained; see combined rows. SignalFire’s six-lab totals cannot be allocated to a company."
      },
      "evidenceLocator": {
        "zh": "M1 第 02、06 节；S1 第 5 节与方法",
        "en": "M1 sections 02, 06; S1 section 5 and methodology"
      },
      "display": {
        "zh": "原报告未拆分",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "function-sales-bd-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "sales-bd",
      "label": {
        "zh": "销售／商业拓展",
        "en": "Sales / business development"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "M1 美国样本 n=2612；该子职能人数与比例未披露",
        "en": "M1 US sample n=2612; subfunction counts and shares undisclosed"
      },
      "denominatorValue": null,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 美国样本",
        "en": "M1 US sample"
      },
      "caveat": {
        "zh": "只取得合并类别，见下方合并行。SignalFire 六家汇总不可拆给单家公司。",
        "en": "Only combined categories obtained; see combined rows. SignalFire’s six-lab totals cannot be allocated to a company."
      },
      "evidenceLocator": {
        "zh": "M1 第 02、06 节；S1 第 5 节与方法",
        "en": "M1 sections 02, 06; S1 section 5 and methodology"
      },
      "display": {
        "zh": "原报告未拆分",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "function-customer-success-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "customer-success",
      "label": {
        "zh": "客户成功",
        "en": "Customer success"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "M1 美国样本 n=5313；该子职能人数与比例未披露",
        "en": "M1 US sample n=5313; subfunction counts and shares undisclosed"
      },
      "denominatorValue": null,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 美国样本",
        "en": "M1 US sample"
      },
      "caveat": {
        "zh": "只取得合并类别，见下方合并行。SignalFire 六家汇总不可拆给单家公司。",
        "en": "Only combined categories obtained; see combined rows. SignalFire’s six-lab totals cannot be allocated to a company."
      },
      "evidenceLocator": {
        "zh": "M1 第 02、06 节；S1 第 5 节与方法",
        "en": "M1 sections 02, 06; S1 section 5 and methodology"
      },
      "display": {
        "zh": "原报告未拆分",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "function-customer-success-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "customer-success",
      "label": {
        "zh": "客户成功",
        "en": "Customer success"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "M1 美国样本 n=2612；该子职能人数与比例未披露",
        "en": "M1 US sample n=2612; subfunction counts and shares undisclosed"
      },
      "denominatorValue": null,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 美国样本",
        "en": "M1 US sample"
      },
      "caveat": {
        "zh": "只取得合并类别，见下方合并行。SignalFire 六家汇总不可拆给单家公司。",
        "en": "Only combined categories obtained; see combined rows. SignalFire’s six-lab totals cannot be allocated to a company."
      },
      "evidenceLocator": {
        "zh": "M1 第 02、06 节；S1 第 5 节与方法",
        "en": "M1 sections 02, 06; S1 section 5 and methodology"
      },
      "display": {
        "zh": "原报告未拆分",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "function-finance-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "finance",
      "label": {
        "zh": "财务",
        "en": "Finance"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "M1 美国样本 n=5313；该子职能人数与比例未披露",
        "en": "M1 US sample n=5313; subfunction counts and shares undisclosed"
      },
      "denominatorValue": null,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 美国样本",
        "en": "M1 US sample"
      },
      "caveat": {
        "zh": "只取得合并类别，见下方合并行。SignalFire 六家汇总不可拆给单家公司。",
        "en": "Only combined categories obtained; see combined rows. SignalFire’s six-lab totals cannot be allocated to a company."
      },
      "evidenceLocator": {
        "zh": "M1 第 02、06 节；S1 第 5 节与方法",
        "en": "M1 sections 02, 06; S1 section 5 and methodology"
      },
      "display": {
        "zh": "原报告未拆分",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "function-finance-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "finance",
      "label": {
        "zh": "财务",
        "en": "Finance"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "M1 美国样本 n=2612；该子职能人数与比例未披露",
        "en": "M1 US sample n=2612; subfunction counts and shares undisclosed"
      },
      "denominatorValue": null,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 美国样本",
        "en": "M1 US sample"
      },
      "caveat": {
        "zh": "只取得合并类别，见下方合并行。SignalFire 六家汇总不可拆给单家公司。",
        "en": "Only combined categories obtained; see combined rows. SignalFire’s six-lab totals cannot be allocated to a company."
      },
      "evidenceLocator": {
        "zh": "M1 第 02、06 节；S1 第 5 节与方法",
        "en": "M1 sections 02, 06; S1 section 5 and methodology"
      },
      "display": {
        "zh": "原报告未拆分",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "function-legal-policy-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "legal-policy",
      "label": {
        "zh": "法务／政策",
        "en": "Legal / policy"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "M1 美国样本 n=5313；该子职能人数与比例未披露",
        "en": "M1 US sample n=5313; subfunction counts and shares undisclosed"
      },
      "denominatorValue": null,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 美国样本",
        "en": "M1 US sample"
      },
      "caveat": {
        "zh": "只取得合并类别，见下方合并行。SignalFire 六家汇总不可拆给单家公司。",
        "en": "Only combined categories obtained; see combined rows. SignalFire’s six-lab totals cannot be allocated to a company."
      },
      "evidenceLocator": {
        "zh": "M1 第 02、06 节；S1 第 5 节与方法",
        "en": "M1 sections 02, 06; S1 section 5 and methodology"
      },
      "display": {
        "zh": "原报告未拆分",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "function-legal-policy-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "legal-policy",
      "label": {
        "zh": "法务／政策",
        "en": "Legal / policy"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "M1 美国样本 n=2612；该子职能人数与比例未披露",
        "en": "M1 US sample n=2612; subfunction counts and shares undisclosed"
      },
      "denominatorValue": null,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 美国样本",
        "en": "M1 US sample"
      },
      "caveat": {
        "zh": "只取得合并类别，见下方合并行。SignalFire 六家汇总不可拆给单家公司。",
        "en": "Only combined categories obtained; see combined rows. SignalFire’s six-lab totals cannot be allocated to a company."
      },
      "evidenceLocator": {
        "zh": "M1 第 02、06 节；S1 第 5 节与方法",
        "en": "M1 sections 02, 06; S1 section 5 and methodology"
      },
      "display": {
        "zh": "原报告未拆分",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "function-operations-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "function",
      "category": "operations",
      "label": {
        "zh": "运营／行政",
        "en": "Operations / administration"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "M1 美国样本 n=5313；该子职能人数与比例未披露",
        "en": "M1 US sample n=5313; subfunction counts and shares undisclosed"
      },
      "denominatorValue": null,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 美国样本",
        "en": "M1 US sample"
      },
      "caveat": {
        "zh": "只取得合并类别，见下方合并行。SignalFire 六家汇总不可拆给单家公司。",
        "en": "Only combined categories obtained; see combined rows. SignalFire’s six-lab totals cannot be allocated to a company."
      },
      "evidenceLocator": {
        "zh": "M1 第 02、06 节；S1 第 5 节与方法",
        "en": "M1 sections 02, 06; S1 section 5 and methodology"
      },
      "display": {
        "zh": "原报告未拆分",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "function-operations-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "function",
      "category": "operations",
      "label": {
        "zh": "运营／行政",
        "en": "Operations / administration"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "M1 美国样本 n=2612；该子职能人数与比例未披露",
        "en": "M1 US sample n=2612; subfunction counts and shares undisclosed"
      },
      "denominatorValue": null,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 美国样本",
        "en": "M1 US sample"
      },
      "caveat": {
        "zh": "只取得合并类别，见下方合并行。SignalFire 六家汇总不可拆给单家公司。",
        "en": "Only combined categories obtained; see combined rows. SignalFire’s six-lab totals cannot be allocated to a company."
      },
      "evidenceLocator": {
        "zh": "M1 第 02、06 节；S1 第 5 节与方法",
        "en": "M1 sections 02, 06; S1 section 5 and methodology"
      },
      "display": {
        "zh": "原报告未拆分",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "function-research-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "research",
      "label": {
        "zh": "Research / Models（原标签）",
        "en": "Research / Models (source label)"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "function-engineering-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "engineering",
      "label": {
        "zh": "Engineering（原标签）",
        "en": "Engineering (source label)"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "function-product-design-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "product-design",
      "label": {
        "zh": "产品／设计",
        "en": "Product / Design"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "function-people-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "people",
      "label": {
        "zh": "人力／招聘",
        "en": "People / Recruiting"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "function-gtm-customer-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "gtm-customer",
      "label": {
        "zh": "GTM／Customer（合并）",
        "en": "GTM / Customer (combined)"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "function-corporate-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "corporate",
      "label": {
        "zh": "Corporate Functions（合并）",
        "en": "Corporate Functions (combined)"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "function-sales-bd-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "sales-bd",
      "label": {
        "zh": "销售／商业拓展",
        "en": "Sales / business development"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "function-customer-success-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "customer-success",
      "label": {
        "zh": "客户成功",
        "en": "Customer success"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "function-finance-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "finance",
      "label": {
        "zh": "财务",
        "en": "Finance"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "function-legal-policy-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "legal-policy",
      "label": {
        "zh": "法务／政策",
        "en": "Legal / policy"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "function-operations-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "function",
      "category": "operations",
      "label": {
        "zh": "运营／行政",
        "en": "Operations / administration"
      },
      "value": null,
      "unit": "people",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1",
        "S1",
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M1 未覆盖 Google DeepMind",
        "en": "Google DeepMind outside M1 scope"
      },
      "caveat": {
        "zh": "M1 第三家是 xAI；S1 仅六家汇总。不能拿美英法技术样本或 Google 母公司数字补齐。",
        "en": "M1’s third company is xAI; S1 only gives a six-lab aggregate. US/UK/France technical samples or parent Google data cannot fill this gap."
      },
      "evidenceLocator": {
        "zh": "M1 第 06 节；S1 方法；G1；G2 第 3 页",
        "en": "M1 section 06; S1 methodology; G1; G2 printed p.3"
      },
      "missingReason": "not_in_source_scope",
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      }
    },
    {
      "id": "technical-research-scientist-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "technical",
      "category": "research-scientist",
      "label": {
        "zh": "研究科学家 · Research Scientist",
        "en": "Research Scientist"
      },
      "value": 210,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=2628；不是全体员工",
        "en": "Same-report company technical pool n=2628, not all employees"
      },
      "denominatorValue": 2628,
      "sampleSize": 2628,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 8,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "210 人 · 8.0%",
        "en": "210 people · 8.0%"
      }
    },
    {
      "id": "technical-research-scientist-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "technical",
      "category": "research-scientist",
      "label": {
        "zh": "研究科学家 · Research Scientist",
        "en": "Research Scientist"
      },
      "value": 68,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=1251；不是全体员工",
        "en": "Same-report company technical pool n=1251, not all employees"
      },
      "denominatorValue": 1251,
      "sampleSize": 1251,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 5.4,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "68 人 · 5.4%",
        "en": "68 people · 5.4%"
      }
    },
    {
      "id": "technical-research-scientist-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "technical",
      "category": "research-scientist",
      "label": {
        "zh": "研究科学家 · Research Scientist",
        "en": "Research Scientist"
      },
      "value": 918,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=2837；不是全体员工",
        "en": "Same-report company technical pool n=2837, not all employees"
      },
      "denominatorValue": 2837,
      "sampleSize": 2837,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 32.4,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "918 人 · 32.4%",
        "en": "918 people · 32.4%"
      }
    },
    {
      "id": "technical-research-engineer-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "technical",
      "category": "research-engineer",
      "label": {
        "zh": "研究工程师 · Research Engineer",
        "en": "Research Engineer"
      },
      "value": 43,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=2628；不是全体员工",
        "en": "Same-report company technical pool n=2628, not all employees"
      },
      "denominatorValue": 2628,
      "sampleSize": 2628,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 1.6,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "43 人 · 1.6%",
        "en": "43 people · 1.6%"
      }
    },
    {
      "id": "technical-research-engineer-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "technical",
      "category": "research-engineer",
      "label": {
        "zh": "研究工程师 · Research Engineer",
        "en": "Research Engineer"
      },
      "value": 12,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=1251；不是全体员工",
        "en": "Same-report company technical pool n=1251, not all employees"
      },
      "denominatorValue": 1251,
      "sampleSize": 1251,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 1,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "12 人 · 1.0%",
        "en": "12 people · 1.0%"
      }
    },
    {
      "id": "technical-research-engineer-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "technical",
      "category": "research-engineer",
      "label": {
        "zh": "研究工程师 · Research Engineer",
        "en": "Research Engineer"
      },
      "value": 507,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=2837；不是全体员工",
        "en": "Same-report company technical pool n=2837, not all employees"
      },
      "denominatorValue": 2837,
      "sampleSize": 2837,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 17.9,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "507 人 · 17.9%",
        "en": "507 people · 17.9%"
      }
    },
    {
      "id": "technical-mts-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "technical",
      "category": "mts",
      "label": {
        "zh": "MTS · 无法可靠细分",
        "en": "MTS · unspecified"
      },
      "value": 1702,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=2628；不是全体员工",
        "en": "Same-report company technical pool n=2628, not all employees"
      },
      "denominatorValue": 2628,
      "sampleSize": 2628,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 64.8,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "1,702 人 · 64.8%",
        "en": "1,702 people · 64.8%"
      }
    },
    {
      "id": "technical-mts-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "technical",
      "category": "mts",
      "label": {
        "zh": "MTS · 无法可靠细分",
        "en": "MTS · unspecified"
      },
      "value": 962,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=1251；不是全体员工",
        "en": "Same-report company technical pool n=1251, not all employees"
      },
      "denominatorValue": 1251,
      "sampleSize": 1251,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 76.9,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "962 人 · 76.9%",
        "en": "962 people · 76.9%"
      }
    },
    {
      "id": "technical-mts-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "technical",
      "category": "mts",
      "label": {
        "zh": "MTS · 无法可靠细分",
        "en": "MTS · unspecified"
      },
      "value": 3,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=2837；不是全体员工",
        "en": "Same-report company technical pool n=2837, not all employees"
      },
      "denominatorValue": 2837,
      "sampleSize": 2837,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 0.1,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "3 人 · 0.1%",
        "en": "3 people · 0.1%"
      }
    },
    {
      "id": "technical-engineering-broad-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "technical",
      "category": "engineering-broad",
      "label": {
        "zh": "Engineering · 宽口径工程",
        "en": "Engineering · broad category"
      },
      "value": 607,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=2628；不是全体员工",
        "en": "Same-report company technical pool n=2628, not all employees"
      },
      "denominatorValue": 2628,
      "sampleSize": 2628,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 23.1,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "607 人 · 23.1%",
        "en": "607 people · 23.1%"
      }
    },
    {
      "id": "technical-engineering-broad-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "technical",
      "category": "engineering-broad",
      "label": {
        "zh": "Engineering · 宽口径工程",
        "en": "Engineering · broad category"
      },
      "value": 164,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=1251；不是全体员工",
        "en": "Same-report company technical pool n=1251, not all employees"
      },
      "denominatorValue": 1251,
      "sampleSize": 1251,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 13.1,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "164 人 · 13.1%",
        "en": "164 people · 13.1%"
      }
    },
    {
      "id": "technical-engineering-broad-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "technical",
      "category": "engineering-broad",
      "label": {
        "zh": "Engineering · 宽口径工程",
        "en": "Engineering · broad category"
      },
      "value": 1388,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=2837；不是全体员工",
        "en": "Same-report company technical pool n=2837, not all employees"
      },
      "denominatorValue": 2837,
      "sampleSize": 2837,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 48.9,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "1,388 人 · 48.9%",
        "en": "1,388 people · 48.9%"
      }
    },
    {
      "id": "technical-safety-alignment-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "technical",
      "category": "safety-alignment",
      "label": {
        "zh": "Safety & Alignment · 原分类",
        "en": "Safety & Alignment · source category"
      },
      "value": 66,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=2628；不是全体员工",
        "en": "Same-report company technical pool n=2628, not all employees"
      },
      "denominatorValue": 2628,
      "sampleSize": 2628,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 2.5,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "66 人 · 2.5%",
        "en": "66 people · 2.5%"
      }
    },
    {
      "id": "technical-safety-alignment-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "technical",
      "category": "safety-alignment",
      "label": {
        "zh": "Safety & Alignment · 原分类",
        "en": "Safety & Alignment · source category"
      },
      "value": 45,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=1251；不是全体员工",
        "en": "Same-report company technical pool n=1251, not all employees"
      },
      "denominatorValue": 1251,
      "sampleSize": 1251,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 3.6,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "45 人 · 3.6%",
        "en": "45 people · 3.6%"
      }
    },
    {
      "id": "technical-safety-alignment-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "technical",
      "category": "safety-alignment",
      "label": {
        "zh": "Safety & Alignment · 原分类",
        "en": "Safety & Alignment · source category"
      },
      "value": 21,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "同报告该公司技术池 n=2837；不是全体员工",
        "en": "Same-report company technical pool n=2837, not all employees"
      },
      "denominatorValue": 2837,
      "sampleSize": 2837,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法技术档案；职称／简介分类",
        "en": "US/UK/France technical profiles; title/headline labels"
      },
      "caveat": {
        "zh": "人数转录原 SVG；比例为本页按同源技术分母计算。MTS 保留未细分；Safety 不重复并入研究／工程；Google 挂靠漏记可能影响 DeepMind。",
        "en": "Counts transcribed from original SVG; shares calculated here with the same-source technical denominator. MTS stays unspecified; Safety is not added again to research/engineering; Google affiliations may be missed for DeepMind."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节 Function × lab matrix；9.1 方法",
        "en": "Section 3.4 Function × lab matrix; 9.1 methodology"
      },
      "calculatedShare": 0.7,
      "calculation": "count / same-source technical pool × 100",
      "display": {
        "zh": "21 人 · 0.7%",
        "en": "21 people · 0.7%"
      }
    },
    {
      "id": "technical-software-engineering-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "technical",
      "category": "software-engineering",
      "label": {
        "zh": "软件工程（狭义）",
        "en": "Software engineering (narrow)"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "机构未披露",
        "en": "Not disclosed by source"
      },
      "denominatorValue": null,
      "sampleSize": 2628,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M2 技术分类",
        "en": "M2 technical classification"
      },
      "caveat": {
        "zh": "Engineering 未拆出这一子类；不能将整个 Engineering 改名为软件工程或平台。",
        "en": "Engineering is not decomposed into this subcategory; the broad group cannot be renamed software or platform engineering."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节",
        "en": "Section 3.4"
      },
      "display": {
        "zh": "原报告未单列",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "technical-software-engineering-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "technical",
      "category": "software-engineering",
      "label": {
        "zh": "软件工程（狭义）",
        "en": "Software engineering (narrow)"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "机构未披露",
        "en": "Not disclosed by source"
      },
      "denominatorValue": null,
      "sampleSize": 1251,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M2 技术分类",
        "en": "M2 technical classification"
      },
      "caveat": {
        "zh": "Engineering 未拆出这一子类；不能将整个 Engineering 改名为软件工程或平台。",
        "en": "Engineering is not decomposed into this subcategory; the broad group cannot be renamed software or platform engineering."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节",
        "en": "Section 3.4"
      },
      "display": {
        "zh": "原报告未单列",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "technical-software-engineering-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "technical",
      "category": "software-engineering",
      "label": {
        "zh": "软件工程（狭义）",
        "en": "Software engineering (narrow)"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "机构未披露",
        "en": "Not disclosed by source"
      },
      "denominatorValue": null,
      "sampleSize": 2837,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M2 技术分类",
        "en": "M2 technical classification"
      },
      "caveat": {
        "zh": "Engineering 未拆出这一子类；不能将整个 Engineering 改名为软件工程或平台。",
        "en": "Engineering is not decomposed into this subcategory; the broad group cannot be renamed software or platform engineering."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节",
        "en": "Section 3.4"
      },
      "display": {
        "zh": "原报告未单列",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "technical-infrastructure-platform-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "technical",
      "category": "infrastructure-platform",
      "label": {
        "zh": "基础设施／平台",
        "en": "Infrastructure / platform"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "机构未披露",
        "en": "Not disclosed by source"
      },
      "denominatorValue": null,
      "sampleSize": 2628,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M2 技术分类",
        "en": "M2 technical classification"
      },
      "caveat": {
        "zh": "Engineering 未拆出这一子类；不能将整个 Engineering 改名为软件工程或平台。",
        "en": "Engineering is not decomposed into this subcategory; the broad group cannot be renamed software or platform engineering."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节",
        "en": "Section 3.4"
      },
      "display": {
        "zh": "原报告未单列",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "technical-infrastructure-platform-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "technical",
      "category": "infrastructure-platform",
      "label": {
        "zh": "基础设施／平台",
        "en": "Infrastructure / platform"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "机构未披露",
        "en": "Not disclosed by source"
      },
      "denominatorValue": null,
      "sampleSize": 1251,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M2 技术分类",
        "en": "M2 technical classification"
      },
      "caveat": {
        "zh": "Engineering 未拆出这一子类；不能将整个 Engineering 改名为软件工程或平台。",
        "en": "Engineering is not decomposed into this subcategory; the broad group cannot be renamed software or platform engineering."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节",
        "en": "Section 3.4"
      },
      "display": {
        "zh": "原报告未单列",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "technical-infrastructure-platform-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "technical",
      "category": "infrastructure-platform",
      "label": {
        "zh": "基础设施／平台",
        "en": "Infrastructure / platform"
      },
      "value": null,
      "unit": "people",
      "status": "not_disclosed",
      "denominator": {
        "zh": "机构未披露",
        "en": "Not disclosed by source"
      },
      "denominatorValue": null,
      "sampleSize": 2837,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "M2 技术分类",
        "en": "M2 technical classification"
      },
      "caveat": {
        "zh": "Engineering 未拆出这一子类；不能将整个 Engineering 改名为软件工程或平台。",
        "en": "Engineering is not decomposed into this subcategory; the broad group cannot be renamed software or platform engineering."
      },
      "evidenceLocator": {
        "zh": "第 3.4 节",
        "en": "Section 3.4"
      },
      "display": {
        "zh": "原报告未单列",
        "en": "Not separately disclosed"
      }
    },
    {
      "id": "technical-security-adjacent-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "technical",
      "category": "security-adjacent",
      "label": {
        "zh": "历史补充：security-adjacent（交叉类别）",
        "en": "Historical context: security-adjacent (cross-functional)"
      },
      "value": null,
      "unit": "percent",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：A1 仅披露 Anthropic",
        "en": "Not applicable: A1 only discloses Anthropic"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2024-05-20",
      "sourceIds": [
        "A1"
      ],
      "nature": {
        "zh": "此官方来源未覆盖该公司",
        "en": "This official source does not cover this company"
      },
      "scope": {
        "zh": "A1 只涉及 Anthropic 的历史披露",
        "en": "A1 is an Anthropic-only historical disclosure"
      },
      "caveat": {
        "zh": "不能等同 AI safety、政策或法务，不与技术样本相加。仅 Anthropic 有此项官方披露。",
        "en": "Not equivalent to AI safety, policy or legal. Not additive to the technical sample. This official disclosure only covers Anthropic."
      },
      "evidenceLocator": {
        "zh": "Scaling up our security program 段",
        "en": "Paragraph on scaling up the security program"
      },
      "display": {
        "zh": "此披露未覆盖",
        "en": "Outside this disclosure"
      },
      "missingReason": "not_in_source_scope"
    },
    {
      "id": "technical-security-adjacent-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "technical",
      "category": "security-adjacent",
      "label": {
        "zh": "历史补充：security-adjacent（交叉类别）",
        "en": "Historical context: security-adjacent (cross-functional)"
      },
      "value": 8,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "当时 Anthropic 全体员工；总人数未披露",
        "en": "All Anthropic employees then; headcount not disclosed"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_disclosed",
      "asOf": "2024-05-20",
      "sourceIds": [
        "A1"
      ],
      "nature": {
        "zh": "公司官方披露",
        "en": "Official company disclosure"
      },
      "scope": {
        "zh": "历史、security-adjacent 原定义",
        "en": "Historical; original security-adjacent definition"
      },
      "caveat": {
        "zh": "不能等同 AI safety、政策或法务，不与技术样本相加。仅 Anthropic 有此项官方披露。",
        "en": "Not equivalent to AI safety, policy or legal. Not additive to the technical sample. This official disclosure only covers Anthropic."
      },
      "evidenceLocator": {
        "zh": "Scaling up our security program 段",
        "en": "Paragraph on scaling up the security program"
      },
      "display": {
        "zh": "约 8% 全员",
        "en": "Around 8% of employees"
      }
    },
    {
      "id": "technical-security-adjacent-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "technical",
      "category": "security-adjacent",
      "label": {
        "zh": "历史补充：security-adjacent（交叉类别）",
        "en": "Historical context: security-adjacent (cross-functional)"
      },
      "value": null,
      "unit": "percent",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：A1 仅披露 Anthropic",
        "en": "Not applicable: A1 only discloses Anthropic"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2024-05-20",
      "sourceIds": [
        "A1"
      ],
      "nature": {
        "zh": "此官方来源未覆盖该公司",
        "en": "This official source does not cover this company"
      },
      "scope": {
        "zh": "A1 只涉及 Anthropic 的历史披露",
        "en": "A1 is an Anthropic-only historical disclosure"
      },
      "caveat": {
        "zh": "不能等同 AI safety、政策或法务，不与技术样本相加。仅 Anthropic 有此项官方披露。",
        "en": "Not equivalent to AI safety, policy or legal. Not additive to the technical sample. This official disclosure only covers Anthropic."
      },
      "evidenceLocator": {
        "zh": "Scaling up our security program 段",
        "en": "Paragraph on scaling up the security program"
      },
      "display": {
        "zh": "此披露未覆盖",
        "en": "Outside this disclosure"
      },
      "missingReason": "not_in_source_scope"
    },
    {
      "id": "background-phd-visible-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "background",
      "category": "phd-visible",
      "label": {
        "zh": "学历：可见博士记录",
        "en": "Education: recorded PhD"
      },
      "value": 16,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该报告OpenAI美英法技术池全部2628份画像；不是全员",
        "en": "Report-specific technical profiles n=2628"
      },
      "denominatorValue": 2628,
      "sampleSize": 2628,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法；研究+工程+未细分MTS+安全与对齐",
        "en": "US/UK/France technical sample"
      },
      "caveat": {
        "zh": "不能反推未记录者均无博士；学历完整度未披露；不以四舍五入比例反推博士人数；不同实验室技术分类、实体挂靠与履历覆盖可能影响比例",
        "en": "Recorded qualifications only; completeness not disclosed. Missing PhD records do not mean no PhD. No count inferred from rounded percentages."
      },
      "evidenceLocator": {
        "zh": "附录9.2；技术池定义见9.1及摘要",
        "en": "Appendix 9.2"
      },
      "poolSize": 2628
    },
    {
      "id": "background-phd-visible-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "background",
      "category": "phd-visible",
      "label": {
        "zh": "学历：可见博士记录",
        "en": "Education: recorded PhD"
      },
      "value": 16,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该报告Anthropic美英法技术池全部1251份画像；不是全员",
        "en": "Report-specific technical profiles n=1251"
      },
      "denominatorValue": 1251,
      "sampleSize": 1251,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法；研究+工程+未细分MTS+安全与对齐",
        "en": "US/UK/France technical sample"
      },
      "caveat": {
        "zh": "不能反推未记录者均无博士；学历完整度未披露；不以四舍五入比例反推博士人数；不同实验室技术分类、实体挂靠与履历覆盖可能影响比例",
        "en": "Recorded qualifications only; completeness not disclosed. Missing PhD records do not mean no PhD. No count inferred from rounded percentages."
      },
      "evidenceLocator": {
        "zh": "附录9.2；技术池定义见9.1及摘要",
        "en": "Appendix 9.2"
      },
      "poolSize": 1251
    },
    {
      "id": "background-phd-visible-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "background",
      "category": "phd-visible",
      "label": {
        "zh": "学历：可见博士记录",
        "en": "Education: recorded PhD"
      },
      "value": 36.9,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "该报告Google DeepMind美英法技术池全部2837份画像；不是全员",
        "en": "Report-specific technical profiles n=2837"
      },
      "denominatorValue": 2837,
      "sampleSize": 2837,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美英法；研究+工程+未细分MTS+安全与对齐",
        "en": "US/UK/France technical sample"
      },
      "caveat": {
        "zh": "不能反推未记录者均无博士；学历完整度未披露；不以四舍五入比例反推博士人数；不同实验室技术分类、实体挂靠与履历覆盖可能影响比例",
        "en": "Recorded qualifications only; completeness not disclosed. Missing PhD records do not mean no PhD. No count inferred from rounded percentages."
      },
      "evidenceLocator": {
        "zh": "附录9.2；技术池定义见9.1及摘要",
        "en": "Appendix 9.2"
      },
      "poolSize": 2837
    },
    {
      "id": "background-career-duration-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "background",
      "category": "career-duration",
      "label": {
        "zh": "工作年限：履历跨度中位数",
        "en": "Experience: median career-record span"
      },
      "value": 13,
      "unit": "years",
      "status": "available",
      "denominator": {
        "zh": "技术画像总体；有可用职业时间线的有效中位数样本量未单独披露",
        "en": "X-Ray technical pool n=3041; valid timeline n not separately disclosed"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_disclosed",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "X1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "该单公司X-Ray技术样本；非全员；非加入当前公司前工作年限",
        "en": "Company X-Ray technical sample n=3041"
      },
      "caveat": {
        "zh": "可能包括学术职务、实习及其他最早记录；不能称平均工作年限；不得与6月11日技术样本混分母；有效时间线样本量未披露。",
        "en": "Span from earliest role to report date, potentially including academic roles and internships; not experience before joining, not mean years worked. Valid timeline n undisclosed. Different X-Ray scopes and stale cross-report references limit comparison."
      },
      "evidenceLocator": {
        "zh": "第 03 节 Seniority",
        "en": "Section 03 Seniority"
      },
      "poolSize": 3041
    },
    {
      "id": "background-career-duration-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "background",
      "category": "career-duration",
      "label": {
        "zh": "工作年限：履历跨度中位数",
        "en": "Experience: median career-record span"
      },
      "value": 13.1,
      "unit": "years",
      "status": "available",
      "denominator": {
        "zh": "技术画像总体；有可用职业时间线的有效中位数样本量未单独披露",
        "en": "X-Ray technical pool n=1281; valid timeline n not separately disclosed"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_disclosed",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "X2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "该单公司X-Ray技术样本；非全员；非加入当前公司前工作年限",
        "en": "Company X-Ray technical sample n=1281"
      },
      "caveat": {
        "zh": "可能包括学术职务、实习及其他最早记录；不能称平均工作年限；不得与6月11日技术样本混分母；有效时间线样本量未披露。",
        "en": "Span from earliest role to report date, potentially including academic roles and internships; not experience before joining, not mean years worked. Valid timeline n undisclosed. Different X-Ray scopes and stale cross-report references limit comparison."
      },
      "evidenceLocator": {
        "zh": "第 03 节 Seniority",
        "en": "Section 03 Seniority"
      },
      "poolSize": 1281
    },
    {
      "id": "background-prior-sector-enterprise-saas-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "background",
      "category": "prior-sector-enterprise-saas",
      "label": {
        "zh": "直接前雇主类别：Enterprise SaaS",
        "en": "Immediate prior employer sector: Enterprise SaaS"
      },
      "value": 27.4,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "美国在职画像5313份，含前雇主未知记录；前雇主覆盖率95.0%",
        "en": "US multi-function profiles n=5313"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国在职画像；多职能样本",
        "en": "US multi-function current-employment profiles"
      },
      "caveat": {
        "zh": "仅展示部分来源类别，不作100%构成图；不是整个职业历史企业/学术经历占比；机构未披露更细的直接前雇主识别规则",
        "en": "Report-defined direct prior employer, not career history. Concurrent roles, internships and internal-transfer handling unspecified. Partial categories only; no 100% chart."
      },
      "evidenceLocator": {
        "zh": "03 Prior-employer types",
        "en": "Section 03 Talent sources"
      },
      "poolSize": 5313,
      "employerRelation": "direct_prior_as_reported"
    },
    {
      "id": "background-prior-sector-academia-research-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "background",
      "category": "prior-sector-academia-research",
      "label": {
        "zh": "直接前雇主类别：Academia / Research",
        "en": "Immediate prior employer sector: Academia / Research"
      },
      "value": 4.1,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "美国在职画像5313份，含前雇主未知记录；前雇主覆盖率95.0%",
        "en": "US multi-function profiles n=5313"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国在职画像；多职能样本",
        "en": "US multi-function current-employment profiles"
      },
      "caveat": {
        "zh": "仅展示部分来源类别，不作100%构成图；不是整个职业历史企业/学术经历占比；机构未披露更细的直接前雇主识别规则",
        "en": "Report-defined direct prior employer, not career history. Concurrent roles, internships and internal-transfer handling unspecified. Partial categories only; no 100% chart."
      },
      "evidenceLocator": {
        "zh": "03 Prior-employer types",
        "en": "Section 03 Talent sources"
      },
      "poolSize": 5313,
      "employerRelation": "direct_prior_as_reported"
    },
    {
      "id": "background-prior-employer-google-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "background",
      "category": "prior-employer-google",
      "label": {
        "zh": "直接前雇主：Google",
        "en": "Immediate prior employer: Google"
      },
      "value": 7.4,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "美国在职画像5313份，含前雇主未知记录",
        "en": "US multi-function profiles n=5313"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国在职画像；多职能样本",
        "en": "US multi-function current-employment profiles"
      },
      "caveat": {
        "zh": "原文披露比例，未在此处披露人数，不反推整数；仅列Top来源，不作100%图",
        "en": "Report-defined direct prior employer, not career history. Concurrent roles, internships and internal-transfer handling unspecified. Partial categories only; no 100% chart."
      },
      "evidenceLocator": {
        "zh": "03 Top prior employers",
        "en": "Section 03 Talent sources"
      },
      "poolSize": 5313,
      "employerRelation": "direct_prior_as_reported"
    },
    {
      "id": "background-prior-employer-meta-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "background",
      "category": "prior-employer-meta",
      "label": {
        "zh": "直接前雇主：Meta",
        "en": "Immediate prior employer: Meta"
      },
      "value": 5.8,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "美国在职画像5313份，含前雇主未知记录",
        "en": "US multi-function profiles n=5313"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国在职画像；多职能样本",
        "en": "US multi-function current-employment profiles"
      },
      "caveat": {
        "zh": "原文披露比例，未在此处披露人数，不反推整数；仅列Top来源，不作100%图",
        "en": "Report-defined direct prior employer, not career history. Concurrent roles, internships and internal-transfer handling unspecified. Partial categories only; no 100% chart."
      },
      "evidenceLocator": {
        "zh": "03 Top prior employers",
        "en": "Section 03 Talent sources"
      },
      "poolSize": 5313,
      "employerRelation": "direct_prior_as_reported"
    },
    {
      "id": "background-prior-employer-stripe-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "background",
      "category": "prior-employer-stripe",
      "label": {
        "zh": "直接前雇主：Stripe",
        "en": "Immediate prior employer: Stripe"
      },
      "value": 2.5,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "美国在职画像5313份，含前雇主未知记录",
        "en": "US multi-function profiles n=5313"
      },
      "denominatorValue": 5313,
      "sampleSize": 5313,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国在职画像；多职能样本",
        "en": "US multi-function current-employment profiles"
      },
      "caveat": {
        "zh": "原文披露比例，未在此处披露人数，不反推整数；仅列Top来源，不作100%图",
        "en": "Report-defined direct prior employer, not career history. Concurrent roles, internships and internal-transfer handling unspecified. Partial categories only; no 100% chart."
      },
      "evidenceLocator": {
        "zh": "03 Top prior employers",
        "en": "Section 03 Talent sources"
      },
      "poolSize": 5313,
      "employerRelation": "direct_prior_as_reported"
    },
    {
      "id": "background-prior-sector-enterprise-saas-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "background",
      "category": "prior-sector-enterprise-saas",
      "label": {
        "zh": "直接前雇主类别：Enterprise SaaS",
        "en": "Immediate prior employer sector: Enterprise SaaS"
      },
      "value": 35.3,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "美国在职画像2612份，含前雇主未知记录；前雇主覆盖率98.0%",
        "en": "US multi-function profiles n=2612"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国在职画像；多职能样本",
        "en": "US multi-function current-employment profiles"
      },
      "caveat": {
        "zh": "仅展示部分来源类别，不作100%构成图；不是整个职业历史企业/学术经历占比；机构未披露更细的直接前雇主识别规则",
        "en": "Report-defined direct prior employer, not career history. Concurrent roles, internships and internal-transfer handling unspecified. Partial categories only; no 100% chart."
      },
      "evidenceLocator": {
        "zh": "03 Prior-employer types",
        "en": "Section 03 Talent sources"
      },
      "poolSize": 2612,
      "employerRelation": "direct_prior_as_reported"
    },
    {
      "id": "background-prior-sector-academia-research-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "background",
      "category": "prior-sector-academia-research",
      "label": {
        "zh": "直接前雇主类别：Academia / Research",
        "en": "Immediate prior employer sector: Academia / Research"
      },
      "value": 4.7,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "美国在职画像2612份，含前雇主未知记录；前雇主覆盖率98.0%",
        "en": "US multi-function profiles n=2612"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国在职画像；多职能样本",
        "en": "US multi-function current-employment profiles"
      },
      "caveat": {
        "zh": "仅展示部分来源类别，不作100%构成图；不是整个职业历史企业/学术经历占比；机构未披露更细的直接前雇主识别规则",
        "en": "Report-defined direct prior employer, not career history. Concurrent roles, internships and internal-transfer handling unspecified. Partial categories only; no 100% chart."
      },
      "evidenceLocator": {
        "zh": "03 Prior-employer types",
        "en": "Section 03 Talent sources"
      },
      "poolSize": 2612,
      "employerRelation": "direct_prior_as_reported"
    },
    {
      "id": "background-prior-employer-google-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "background",
      "category": "prior-employer-google",
      "label": {
        "zh": "直接前雇主：Google",
        "en": "Immediate prior employer: Google"
      },
      "value": 6.4,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "美国在职画像2612份，含前雇主未知记录",
        "en": "US multi-function profiles n=2612"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国在职画像；多职能样本",
        "en": "US multi-function current-employment profiles"
      },
      "caveat": {
        "zh": "原文披露比例，未在此处披露人数，不反推整数；仅列Top来源，不作100%图",
        "en": "Report-defined direct prior employer, not career history. Concurrent roles, internships and internal-transfer handling unspecified. Partial categories only; no 100% chart."
      },
      "evidenceLocator": {
        "zh": "03 Top prior employers",
        "en": "Section 03 Talent sources"
      },
      "poolSize": 2612,
      "employerRelation": "direct_prior_as_reported"
    },
    {
      "id": "background-prior-employer-stripe-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "background",
      "category": "prior-employer-stripe",
      "label": {
        "zh": "直接前雇主：Stripe",
        "en": "Immediate prior employer: Stripe"
      },
      "value": 5.1,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "美国在职画像2612份，含前雇主未知记录",
        "en": "US multi-function profiles n=2612"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国在职画像；多职能样本",
        "en": "US multi-function current-employment profiles"
      },
      "caveat": {
        "zh": "原文披露比例，未在此处披露人数，不反推整数；仅列Top来源，不作100%图",
        "en": "Report-defined direct prior employer, not career history. Concurrent roles, internships and internal-transfer handling unspecified. Partial categories only; no 100% chart."
      },
      "evidenceLocator": {
        "zh": "03 Top prior employers",
        "en": "Section 03 Talent sources"
      },
      "poolSize": 2612,
      "employerRelation": "direct_prior_as_reported"
    },
    {
      "id": "background-prior-employer-meta-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "background",
      "category": "prior-employer-meta",
      "label": {
        "zh": "直接前雇主：Meta",
        "en": "Immediate prior employer: Meta"
      },
      "value": 4.1,
      "unit": "percent",
      "status": "available",
      "denominator": {
        "zh": "美国在职画像2612份，含前雇主未知记录",
        "en": "US multi-function profiles n=2612"
      },
      "denominatorValue": 2612,
      "sampleSize": 2612,
      "sampleSizeStatus": "available",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美国在职画像；多职能样本",
        "en": "US multi-function current-employment profiles"
      },
      "caveat": {
        "zh": "原文披露比例，未在此处披露人数，不反推整数；仅列Top来源，不作100%图",
        "en": "Report-defined direct prior employer, not career history. Concurrent roles, internships and internal-transfer handling unspecified. Partial categories only; no 100% chart."
      },
      "evidenceLocator": {
        "zh": "03 Top prior employers",
        "en": "Section 03 Talent sources"
      },
      "poolSize": 2612,
      "employerRelation": "direct_prior_as_reported"
    },
    {
      "id": "background-history-google-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "background",
      "category": "history-google",
      "label": {
        "zh": "历史雇主关联：Google",
        "en": "Any prior career employer: Google"
      },
      "value": 702,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "该X-Ray3041份技术画像；每人每公司计一次",
        "en": "Report-specific technical profiles n=3041; each person counted once per historical company"
      },
      "denominatorValue": 3041,
      "sampleSize": 3041,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "X1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "整个履历历史，可能一人关联多家",
        "en": "Company X-Ray technical sample n=3041"
      },
      "caveat": {
        "zh": "不可解读为直接上一家公司；跨公司可重复，不是互斥构成；已知历史雇主不等于为当前公司的直接人才输送者",
        "en": "Each person can have multiple historical employers. Not an immediate hiring source; Different sample from M1 and M2."
      },
      "evidenceLocator": {
        "zh": "05 Talent Sources",
        "en": "Section 05 Talent Sources"
      },
      "poolSize": 3041,
      "employerRelation": "any_prior_career_employer"
    },
    {
      "id": "background-history-meta-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "background",
      "category": "history-meta",
      "label": {
        "zh": "历史雇主关联：Meta",
        "en": "Any prior career employer: Meta"
      },
      "value": 573,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "该X-Ray3041份技术画像；每人每公司计一次",
        "en": "Report-specific technical profiles n=3041; each person counted once per historical company"
      },
      "denominatorValue": 3041,
      "sampleSize": 3041,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "X1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "整个履历历史，可能一人关联多家",
        "en": "Company X-Ray technical sample n=3041"
      },
      "caveat": {
        "zh": "不可解读为直接上一家公司；跨公司可重复，不是互斥构成；已知历史雇主不等于为当前公司的直接人才输送者",
        "en": "Each person can have multiple historical employers. Not an immediate hiring source; Different sample from M1 and M2."
      },
      "evidenceLocator": {
        "zh": "05 Talent Sources",
        "en": "Section 05 Talent Sources"
      },
      "poolSize": 3041,
      "employerRelation": "any_prior_career_employer"
    },
    {
      "id": "background-history-google-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "background",
      "category": "history-google",
      "label": {
        "zh": "历史雇主关联：Google",
        "en": "Any prior career employer: Google"
      },
      "value": 302,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "该X-Ray1281份技术画像；每人每公司计一次",
        "en": "Report-specific technical profiles n=1281; each person counted once per historical company"
      },
      "denominatorValue": 1281,
      "sampleSize": 1281,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "X2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "整个履历历史，可能一人关联多家",
        "en": "Company X-Ray technical sample n=1281"
      },
      "caveat": {
        "zh": "不可解读为直接上一家公司；跨公司可重复，不是互斥构成；已知历史雇主不等于为当前公司的直接人才输送者",
        "en": "Each person can have multiple historical employers. Not an immediate hiring source; universities excluded. Different sample from M1 and M2."
      },
      "evidenceLocator": {
        "zh": "05 Talent Sources",
        "en": "Section 05 Talent Sources"
      },
      "poolSize": 1281,
      "employerRelation": "any_prior_career_employer"
    },
    {
      "id": "background-history-meta-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "background",
      "category": "history-meta",
      "label": {
        "zh": "历史雇主关联：Meta",
        "en": "Any prior career employer: Meta"
      },
      "value": 201,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "该X-Ray1281份技术画像；每人每公司计一次",
        "en": "Report-specific technical profiles n=1281; each person counted once per historical company"
      },
      "denominatorValue": 1281,
      "sampleSize": 1281,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "X2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "整个履历历史，可能一人关联多家",
        "en": "Company X-Ray technical sample n=1281"
      },
      "caveat": {
        "zh": "不可解读为直接上一家公司；跨公司可重复，不是互斥构成；已知历史雇主不等于为当前公司的直接人才输送者",
        "en": "Each person can have multiple historical employers. Not an immediate hiring source; universities excluded. Different sample from M1 and M2."
      },
      "evidenceLocator": {
        "zh": "05 Talent Sources",
        "en": "Section 05 Talent Sources"
      },
      "poolSize": 1281,
      "employerRelation": "any_prior_career_employer"
    },
    {
      "id": "compensation-mts-salary-2024-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "compensation",
      "category": "mts-salary-2024",
      "label": {
        "zh": "2024 MTS 年工资参考（不含奖金／股权）",
        "en": "2024 MTS annual salary reference (excludes bonus/equity)"
      },
      "value": 353000,
      "unit": "usd",
      "status": "available",
      "denominator": {
        "zh": "2024年相关H-1B职位申请记录；图注同时引入Levels.fyi；记录数未披露",
        "en": "Relevant 2024 H-1B position records; chart also cites Levels.fyi. Record count undisclosed."
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_disclosed",
      "asOf": "2024 (published 2025-07-21)",
      "sourceIds": [
        "B1"
      ],
      "nature": {
        "zh": "BCG 机构整理；DOL 行政申报与薪资平台资料",
        "en": "BCG institutional analysis; DOL administrative filings and salary-platform data"
      },
      "scope": {
        "zh": "美国；Member of the technical staff；职级未披露",
        "en": "US MTS positions; seniority not specified"
      },
      "caveat": {
        "zh": "不是员工平均收入或总包；不是招聘启事薪资区间；N=40是另一张招聘者调查的样本量，不能用作薪资N；具体法律实体及同title下级别结构未披露；不可据此判定2026年现行薪资",
        "en": "Company n, mean/median, legal entity and seniority mix unspecified. Not total compensation, all-employee mean, advertised range or current 2026 pay."
      },
      "evidenceLocator": {
        "zh": "PDF第7页；第8页Exhibit5.2",
        "en": "PDF pp.7–8, Exhibit 5.2"
      },
      "poolSize": null,
      "display": {
        "zh": "US$353,000／年",
        "en": "US$353,000 / year"
      },
      "compensationComponent": "salary_excluding_bonus_and_equity",
      "statistic": "not specified"
    },
    {
      "id": "compensation-mts-salary-2024-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "compensation",
      "category": "mts-salary-2024",
      "label": {
        "zh": "2024 MTS 年工资参考（不含奖金／股权）",
        "en": "2024 MTS annual salary reference (excludes bonus/equity)"
      },
      "value": 320000,
      "unit": "usd",
      "status": "available",
      "denominator": {
        "zh": "2024年相关H-1B职位申请记录；图注同时引入Levels.fyi；记录数未披露",
        "en": "Relevant 2024 H-1B position records; chart also cites Levels.fyi. Record count undisclosed."
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_disclosed",
      "asOf": "2024 (published 2025-07-21)",
      "sourceIds": [
        "B1"
      ],
      "nature": {
        "zh": "BCG 机构整理；DOL 行政申报与薪资平台资料",
        "en": "BCG institutional analysis; DOL administrative filings and salary-platform data"
      },
      "scope": {
        "zh": "美国；Member of the technical staff；职级未披露",
        "en": "US MTS positions; seniority not specified"
      },
      "caveat": {
        "zh": "不是员工平均收入或总包；不是招聘启事薪资区间；N=40是另一张招聘者调查的样本量，不能用作薪资N；具体法律实体及同title下级别结构未披露；不可据此判定2026年现行薪资",
        "en": "Company n, mean/median, legal entity and seniority mix unspecified. Not total compensation, all-employee mean, advertised range or current 2026 pay."
      },
      "evidenceLocator": {
        "zh": "PDF第7页；第8页Exhibit5.2",
        "en": "PDF pp.7–8, Exhibit 5.2"
      },
      "poolSize": null,
      "display": {
        "zh": "US$320,000／年",
        "en": "US$320,000 / year"
      },
      "compensationComponent": "salary_excluding_bonus_and_equity",
      "statistic": "not specified"
    },
    {
      "id": "background-career-duration-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "background",
      "category": "career-duration",
      "label": {
        "zh": "工作年限：履历跨度中位数",
        "en": "Experience: median career-record span"
      },
      "value": null,
      "unit": "years",
      "status": "not_obtained",
      "denominator": {
        "zh": "本次未取得可用分母",
        "en": "Usable denominator not obtained in this review"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_obtained",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "X1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "本次取得的来源未覆盖该公司／指标",
        "en": "Obtained sources do not cover this company/metric"
      },
      "caveat": {
        "zh": "保留第三家或未列雇主缺口，不补零、不用 Google 母公司替代。",
        "en": "Missing company or unlisted employer retained; not zero and not replaced with parent Google."
      },
      "evidenceLocator": {
        "zh": "第 03 节 Seniority",
        "en": "Section 03 Seniority"
      },
      "display": {
        "zh": "本次未取得同口径数据",
        "en": "Comparable data not obtained"
      }
    },
    {
      "id": "background-prior-sector-enterprise-saas-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "background",
      "category": "prior-sector-enterprise-saas",
      "label": {
        "zh": "直接前雇主类别：Enterprise SaaS",
        "en": "Immediate prior employer sector: Enterprise SaaS"
      },
      "value": null,
      "unit": "percent",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "本次取得的来源未覆盖该公司／指标",
        "en": "Obtained sources do not cover this company/metric"
      },
      "caveat": {
        "zh": "保留第三家或未列雇主缺口，不补零、不用 Google 母公司替代。",
        "en": "Missing company or unlisted employer retained; not zero and not replaced with parent Google."
      },
      "evidenceLocator": {
        "zh": "03 Prior-employer types",
        "en": "Section 03 Talent sources"
      },
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      },
      "missingReason": "not_in_source_scope"
    },
    {
      "id": "background-prior-sector-academia-research-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "background",
      "category": "prior-sector-academia-research",
      "label": {
        "zh": "直接前雇主类别：Academia / Research",
        "en": "Immediate prior employer sector: Academia / Research"
      },
      "value": null,
      "unit": "percent",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "本次取得的来源未覆盖该公司／指标",
        "en": "Obtained sources do not cover this company/metric"
      },
      "caveat": {
        "zh": "保留第三家或未列雇主缺口，不补零、不用 Google 母公司替代。",
        "en": "Missing company or unlisted employer retained; not zero and not replaced with parent Google."
      },
      "evidenceLocator": {
        "zh": "03 Prior-employer types",
        "en": "Section 03 Talent sources"
      },
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      },
      "missingReason": "not_in_source_scope"
    },
    {
      "id": "background-prior-employer-google-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "background",
      "category": "prior-employer-google",
      "label": {
        "zh": "直接前雇主：Google",
        "en": "Immediate prior employer: Google"
      },
      "value": null,
      "unit": "percent",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "本次取得的来源未覆盖该公司／指标",
        "en": "Obtained sources do not cover this company/metric"
      },
      "caveat": {
        "zh": "保留第三家或未列雇主缺口，不补零、不用 Google 母公司替代。",
        "en": "Missing company or unlisted employer retained; not zero and not replaced with parent Google."
      },
      "evidenceLocator": {
        "zh": "03 Top prior employers",
        "en": "Section 03 Talent sources"
      },
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      },
      "missingReason": "not_in_source_scope"
    },
    {
      "id": "background-prior-employer-meta-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "background",
      "category": "prior-employer-meta",
      "label": {
        "zh": "直接前雇主：Meta",
        "en": "Immediate prior employer: Meta"
      },
      "value": null,
      "unit": "percent",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "本次取得的来源未覆盖该公司／指标",
        "en": "Obtained sources do not cover this company/metric"
      },
      "caveat": {
        "zh": "保留第三家或未列雇主缺口，不补零、不用 Google 母公司替代。",
        "en": "Missing company or unlisted employer retained; not zero and not replaced with parent Google."
      },
      "evidenceLocator": {
        "zh": "03 Top prior employers",
        "en": "Section 03 Talent sources"
      },
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      },
      "missingReason": "not_in_source_scope"
    },
    {
      "id": "background-prior-employer-stripe-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "background",
      "category": "prior-employer-stripe",
      "label": {
        "zh": "直接前雇主：Stripe",
        "en": "Immediate prior employer: Stripe"
      },
      "value": null,
      "unit": "percent",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2026-07-23 report; snapshot not disclosed / 快照未披露",
      "sourceIds": [
        "M1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "本次取得的来源未覆盖该公司／指标",
        "en": "Obtained sources do not cover this company/metric"
      },
      "caveat": {
        "zh": "保留第三家或未列雇主缺口，不补零、不用 Google 母公司替代。",
        "en": "Missing company or unlisted employer retained; not zero and not replaced with parent Google."
      },
      "evidenceLocator": {
        "zh": "03 Top prior employers",
        "en": "Section 03 Talent sources"
      },
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      },
      "missingReason": "not_in_source_scope"
    },
    {
      "id": "background-history-google-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "background",
      "category": "history-google",
      "label": {
        "zh": "历史雇主关联：Google",
        "en": "Any prior career employer: Google"
      },
      "value": null,
      "unit": "people",
      "status": "not_obtained",
      "denominator": {
        "zh": "本次未取得可用分母",
        "en": "Usable denominator not obtained in this review"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_obtained",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "X1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "本次取得的来源未覆盖该公司／指标",
        "en": "Obtained sources do not cover this company/metric"
      },
      "caveat": {
        "zh": "保留第三家或未列雇主缺口，不补零、不用 Google 母公司替代。",
        "en": "Missing company or unlisted employer retained; not zero and not replaced with parent Google."
      },
      "evidenceLocator": {
        "zh": "05 Talent Sources",
        "en": "Section 05 Talent Sources"
      },
      "display": {
        "zh": "本次未取得同口径数据",
        "en": "Comparable data not obtained"
      }
    },
    {
      "id": "background-history-meta-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "background",
      "category": "history-meta",
      "label": {
        "zh": "历史雇主关联：Meta",
        "en": "Any prior career employer: Meta"
      },
      "value": null,
      "unit": "people",
      "status": "not_obtained",
      "denominator": {
        "zh": "本次未取得可用分母",
        "en": "Usable denominator not obtained in this review"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_obtained",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "X1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "本次取得的来源未覆盖该公司／指标",
        "en": "Obtained sources do not cover this company/metric"
      },
      "caveat": {
        "zh": "保留第三家或未列雇主缺口，不补零、不用 Google 母公司替代。",
        "en": "Missing company or unlisted employer retained; not zero and not replaced with parent Google."
      },
      "evidenceLocator": {
        "zh": "05 Talent Sources",
        "en": "Section 05 Talent Sources"
      },
      "display": {
        "zh": "本次未取得同口径数据",
        "en": "Comparable data not obtained"
      }
    },
    {
      "id": "compensation-mts-salary-2024-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "compensation",
      "category": "mts-salary-2024",
      "label": {
        "zh": "2024 MTS 年工资参考（不含奖金／股权）",
        "en": "2024 MTS annual salary reference (excludes bonus/equity)"
      },
      "value": null,
      "unit": "usd",
      "status": "not_in_scope",
      "denominator": {
        "zh": "不适用：该报告未纳入 Google DeepMind",
        "en": "Not applicable: Google DeepMind is not included in this report"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_applicable",
      "asOf": "2024 (published 2025-07-21)",
      "sourceIds": [
        "B1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "本次取得的来源未覆盖该公司／指标",
        "en": "Obtained sources do not cover this company/metric"
      },
      "caveat": {
        "zh": "保留第三家或未列雇主缺口，不补零、不用 Google 母公司替代。",
        "en": "Missing company or unlisted employer retained; not zero and not replaced with parent Google."
      },
      "evidenceLocator": {
        "zh": "PDF第7页；第8页Exhibit5.2",
        "en": "PDF pp.7–8, Exhibit 5.2"
      },
      "display": {
        "zh": "此报告未覆盖",
        "en": "Outside report scope"
      },
      "missingReason": "not_in_source_scope"
    },
    {
      "id": "compensation-current-total-comp-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "compensation",
      "category": "current-total-comp",
      "label": {
        "zh": "当前全员总薪酬分布",
        "en": "Current all-employee total compensation distribution"
      },
      "value": null,
      "unit": "usd",
      "status": "not_obtained",
      "denominator": {
        "zh": "本次未取得可用分母",
        "en": "Usable denominator not obtained in this review"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_obtained",
      "asOf": "2026-09-08",
      "sourceIds": [
        "B1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "目标：同地、同岗、同级、同期；本次未取得",
        "en": "Target: same location, role, level and period; not obtained"
      },
      "caveat": {
        "zh": "已取得的 BCG 是历史工资参考，不能外推 2026 总包或全公司均薪。",
        "en": "BCG gives a historical salary reference, not 2026 total compensation or company-average pay."
      },
      "evidenceLocator": {
        "zh": "见来源",
        "en": "See source"
      }
    },
    {
      "id": "scale-global-headcount-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "scale",
      "category": "global-headcount",
      "label": {
        "zh": "全球公司总人数",
        "en": "Global company headcount"
      },
      "value": null,
      "unit": "people",
      "status": "not_obtained",
      "denominator": {
        "zh": "本次未取得可用分母",
        "en": "Usable denominator not obtained in this review"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_obtained",
      "asOf": "2026-09-08",
      "sourceIds": [
        "M1",
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "目标是全球组织；合格全员规模口径本次未取得",
        "en": "Target is the global organization; qualifying global headcount not obtained"
      },
      "caveat": {
        "zh": "可见职业档案、技术池、英国法律实体和母公司人数都不能代替全球团队总人数。",
        "en": "Visible profiles, technical pools, UK legal-entity counts and parent-company staff cannot substitute for the global team."
      },
      "evidenceLocator": {
        "zh": "见来源范围与排除清单",
        "en": "See source scopes and exclusion register"
      }
    },
    {
      "id": "scale-visible-profiles-openai",
      "company": "openai",
      "companyEntity": "OpenAI",
      "dimension": "scale",
      "category": "visible-profiles",
      "label": {
        "zh": "规模参照：美英法可见在职档案",
        "en": "Scale reference: visible US/UK/France profiles"
      },
      "value": 5495,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "该报告的可见在职档案集合；这是计数，不是比例",
        "en": "Report-visible current-employment profile set; count, not a ratio"
      },
      "denominatorValue": null,
      "sampleSize": 5495,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美、英、法；多职能档案；非官方全员",
        "en": "US/UK/France; multi-function profiles; not official headcount"
      },
      "caveat": {
        "zh": "仅用于交代样本覆盖规模，不冒充公司人数，不与其他报告比例相乘。",
        "en": "Explains sample coverage only; not company headcount and not multiplied by another report’s shares."
      },
      "evidenceLocator": {
        "zh": "附录 9.1、9.2",
        "en": "Appendix 9.1, 9.2"
      }
    },
    {
      "id": "compensation-current-total-comp-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "compensation",
      "category": "current-total-comp",
      "label": {
        "zh": "当前全员总薪酬分布",
        "en": "Current all-employee total compensation distribution"
      },
      "value": null,
      "unit": "usd",
      "status": "not_obtained",
      "denominator": {
        "zh": "本次未取得可用分母",
        "en": "Usable denominator not obtained in this review"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_obtained",
      "asOf": "2026-09-08",
      "sourceIds": [
        "B1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "目标：同地、同岗、同级、同期；本次未取得",
        "en": "Target: same location, role, level and period; not obtained"
      },
      "caveat": {
        "zh": "已取得的 BCG 是历史工资参考，不能外推 2026 总包或全公司均薪。",
        "en": "BCG gives a historical salary reference, not 2026 total compensation or company-average pay."
      },
      "evidenceLocator": {
        "zh": "见来源",
        "en": "See source"
      }
    },
    {
      "id": "scale-global-headcount-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "scale",
      "category": "global-headcount",
      "label": {
        "zh": "全球公司总人数",
        "en": "Global company headcount"
      },
      "value": null,
      "unit": "people",
      "status": "not_obtained",
      "denominator": {
        "zh": "本次未取得可用分母",
        "en": "Usable denominator not obtained in this review"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_obtained",
      "asOf": "2026-09-08",
      "sourceIds": [
        "M1",
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "目标是全球组织；合格全员规模口径本次未取得",
        "en": "Target is the global organization; qualifying global headcount not obtained"
      },
      "caveat": {
        "zh": "可见职业档案、技术池、英国法律实体和母公司人数都不能代替全球团队总人数。",
        "en": "Visible profiles, technical pools, UK legal-entity counts and parent-company staff cannot substitute for the global team."
      },
      "evidenceLocator": {
        "zh": "见来源范围与排除清单",
        "en": "See source scopes and exclusion register"
      }
    },
    {
      "id": "scale-visible-profiles-anthropic",
      "company": "anthropic",
      "companyEntity": "Anthropic",
      "dimension": "scale",
      "category": "visible-profiles",
      "label": {
        "zh": "规模参照：美英法可见在职档案",
        "en": "Scale reference: visible US/UK/France profiles"
      },
      "value": 2740,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "该报告的可见在职档案集合；这是计数，不是比例",
        "en": "Report-visible current-employment profile set; count, not a ratio"
      },
      "denominatorValue": null,
      "sampleSize": 2740,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美、英、法；多职能档案；非官方全员",
        "en": "US/UK/France; multi-function profiles; not official headcount"
      },
      "caveat": {
        "zh": "仅用于交代样本覆盖规模，不冒充公司人数，不与其他报告比例相乘。",
        "en": "Explains sample coverage only; not company headcount and not multiplied by another report’s shares."
      },
      "evidenceLocator": {
        "zh": "附录 9.1、9.2",
        "en": "Appendix 9.1, 9.2"
      }
    },
    {
      "id": "compensation-current-total-comp-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "compensation",
      "category": "current-total-comp",
      "label": {
        "zh": "当前全员总薪酬分布",
        "en": "Current all-employee total compensation distribution"
      },
      "value": null,
      "unit": "usd",
      "status": "not_obtained",
      "denominator": {
        "zh": "本次未取得可用分母",
        "en": "Usable denominator not obtained in this review"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_obtained",
      "asOf": "2026-09-08",
      "sourceIds": [
        "B1"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "目标：同地、同岗、同级、同期；本次未取得",
        "en": "Target: same location, role, level and period; not obtained"
      },
      "caveat": {
        "zh": "已取得的 BCG 是历史工资参考，不能外推 2026 总包或全公司均薪。",
        "en": "BCG gives a historical salary reference, not 2026 total compensation or company-average pay."
      },
      "evidenceLocator": {
        "zh": "见来源",
        "en": "See source"
      }
    },
    {
      "id": "scale-global-headcount-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "scale",
      "category": "global-headcount",
      "label": {
        "zh": "全球公司总人数",
        "en": "Global company headcount"
      },
      "value": null,
      "unit": "people",
      "status": "not_obtained",
      "denominator": {
        "zh": "本次未取得可用分母",
        "en": "Usable denominator not obtained in this review"
      },
      "denominatorValue": null,
      "sampleSize": null,
      "sampleSizeStatus": "not_obtained",
      "asOf": "2026-09-08",
      "sourceIds": [
        "G1",
        "G2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "目标是全球组织；合格全员规模口径本次未取得",
        "en": "Target is the global organization; qualifying global headcount not obtained"
      },
      "caveat": {
        "zh": "可见职业档案、技术池、英国法律实体和母公司人数都不能代替全球团队总人数。",
        "en": "Visible profiles, technical pools, UK legal-entity counts and parent-company staff cannot substitute for the global team."
      },
      "evidenceLocator": {
        "zh": "见来源范围与排除清单",
        "en": "See source scopes and exclusion register"
      }
    },
    {
      "id": "scale-visible-profiles-deepmind",
      "company": "deepmind",
      "companyEntity": "Google DeepMind",
      "dimension": "scale",
      "category": "visible-profiles",
      "label": {
        "zh": "规模参照：美英法可见在职档案",
        "en": "Scale reference: visible US/UK/France profiles"
      },
      "value": 4123,
      "unit": "people",
      "status": "available",
      "denominator": {
        "zh": "该报告的可见在职档案集合；这是计数，不是比例",
        "en": "Report-visible current-employment profile set; count, not a ratio"
      },
      "denominatorValue": null,
      "sampleSize": 4123,
      "sampleSizeStatus": "available",
      "asOf": "Approx. H1 2026 / 约 2026 年上半年",
      "sourceIds": [
        "M2"
      ],
      "nature": {
        "zh": "机构样本统计，非官方编制；分类未独立验证",
        "en": "Institutional sample, not official staffing; classification not independently validated"
      },
      "scope": {
        "zh": "美、英、法；多职能档案；非官方全员",
        "en": "US/UK/France; multi-function profiles; not official headcount"
      },
      "caveat": {
        "zh": "仅用于交代样本覆盖规模，不冒充公司人数，不与其他报告比例相乘。",
        "en": "Explains sample coverage only; not company headcount and not multiplied by another report’s shares."
      },
      "evidenceLocator": {
        "zh": "附录 9.1、9.2",
        "en": "Appendix 9.1, 9.2"
      }
    }
  ],
  "notes": {
    "zh": [
      "阅读结论分三层：可确认的是原报告数值和官方边界；样本标签差异属于有限证据；真实全员职能差异仍有缺口。Metix 为商业机构公开样本，没有公开独立质量验证，本篇不把它与公司审计编制等同。",
      "M1 的分母是美国多职能样本；M2 是美英法技术样本；X1/X2 又是另一套技术样本。严禁互换分母或拼接到一张全公司组成图。",
      "M1 标示首次发布 2026-07-23，M2 为 2026-06-11，网页 JSON-LD 都标修订 2026-08-20；本篇以 2026-09-08 当前原文为准。报告日不冒充精确统计日。",
      "职能百分比为原文披露，格子人数未披露，不从四舍五入比例反推。技术类别人数有原 SVG 标签；相应比例仅以同源技术池计算。",
      "MTS 单列。Safety & Alignment 保留原分类；官方 security-adjacent 属不同时间与交叉定义。它们均不重复加进其他类别。",
      "直接前雇主与整个职业历史雇主分别列示；历史可重复。前雇主行业类别不是互斥的终身企业／学术背景；未记录博士不等于没有博士。",
      "不采用 SignalFire 六家汇总去填单家公司。不采用 Revelio 公开页中未解释的分母及算术矛盾，不采纳 Metix 留存排序叙事或报告间旧值转述。Zeki 完整报告本次未取得。",
      "网页与离线 HTML、JSON、CSV、来源清单共用这一数据版本；每条记录保留原文位置及缺口。所有缺失数值为 null，不补零；没有全员 100% 图，没有薪资排名。"
    ],
    "en": [
      "Conclusions have three levels: source values and official boundaries are verifiable; label differences are limited sample evidence; actual all-staff function differences remain incomplete. Metix is a commercial provider without public independent classification validation, not an audited company roster.",
      "M1 uses US multi-function profiles; M2 uses US/UK/France technical profiles; X1/X2 are another technical sample. Denominators must not be exchanged or assembled into a whole-company composition.",
      "M1 was first published 2026-07-23 and M2 on 2026-06-11; both webpages mark 2026-08-20 as modified in JSON-LD. This edition uses originals read on 2026-09-08. Publication dates are not exact observation dates.",
      "Function percentages are reported directly; cell counts are unpublished and not inferred from rounded shares. Technical counts appear in original SVG labels; derived shares use only the same-source technical pool.",
      "MTS remains unspecified. Safety & Alignment retains the original label; the official security-adjacent figure has a different date and overlapping definition. None is added again to another category.",
      "Immediate previous employers and employers anywhere in a career are separate. Historical employers can overlap. Prior-employer sectors are not exclusive lifetime industry/academic backgrounds; missing PhD records do not mean no PhD.",
      "SignalFire’s six-lab aggregate is not allocated to individual companies. Revelio pages with unresolved denominator/arithmetic conflicts and Metix’s retention narrative or stale cross-report figures are excluded. Zeki full reports were not obtained.",
      "The webpage, offline HTML, JSON, CSV and source register share this dataset version. Records retain original locators and gaps. Missing values are null, never filled with zero. No all-staff 100% chart or pay ranking is generated."
    ]
  },
  "functionContext": {
    "zh": "有限证据｜Metix M1，首次发布 2026-07-23、修订 2026-08-20；精确快照未披露。仅美国在职档案：OpenAI n=5,313，Anthropic n=2,612。GDM 未覆盖。表中百分比只代表原报告标签；MTS 归类规则未公开，人数未披露。",
    "en": "Limited evidence | Metix M1, published 2026-07-23, modified 2026-08-20; exact snapshot undisclosed. US current-employment profiles only: OpenAI n=5,313; Anthropic n=2,612. GDM not covered. Shares describe source labels; MTS classification and cell counts are undisclosed."
  },
  "technicalContext": {
    "zh": "有限证据｜Metix M2，约 2026 年上半年，美英法技术档案，n=2,628 / 1,251 / 2,837。人数来自原图；百分比为人数 ÷ 同源技术池。本表既不是全员比例，也不是完整研究／工程实力排名。",
    "en": "Limited evidence | Metix M2, approximately H1 2026, US/UK/France technical profiles, n=2,628 / 1,251 / 2,837. Counts from source chart; shares = count / same-source technical pool. Neither all-staff shares nor a research/engineering capability ranking."
  }
}