{
  "format_version": 3,
  "claim_formal": {
    "subject": "AI's effect on white-collar employment by 2035",
    "property": "number of independently verified authoritative sources that CONTRADICT the claim (finding displacement far below 50%, or that augmentation dominates over replacement)",
    "operator": ">=",
    "operator_note": "This proof takes the *disproof* direction: we show that 3 or more authoritative, independently verifiable sources reject the '>50% replacement by 2035' threshold. 'Replace' is interpreted strictly as permanent job elimination (not task augmentation, job transformation, or partial exposure). 'Over 50%' means a strict majority of all white-collar (professional, managerial, technical, and administrative) roles. 'By 2035' means within 9 years of the proof generation date (2026-03-28). The adversarial section documents the strongest supporting arguments (e.g., Dario Amodei's May 2025 warning) and explains why they do not overcome the counter-evidence: they refer only to 'entry-level' roles (not all white-collar), and Amodei's own company's peer-reviewed research found no systematic unemployment increase in AI-exposed occupations.",
    "threshold": 3,
    "proof_direction": "disprove"
  },
  "claim_natural": "AI will replace over 50% of white-collar jobs by 2035",
  "evidence": {
    "B1": {
      "type": "empirical",
      "label": "Yale Budget Lab (2026): AI labor market shows stability, not major disruption",
      "sub_claim": null,
      "source": {
        "name": "Yale Budget Lab / Fortune (February 2026)",
        "url": "https://fortune.com/2026/02/02/ai-labor-market-yale-budget-lab-ai-washing/",
        "quote": "The picture of AI's impact on the labor market that emerges from our data is one that largely reflects stability, not major disruption at an economy-wide level."
      },
      "verification": {
        "status": "verified",
        "method": "full_quote",
        "coverage_pct": null,
        "fetch_mode": "live",
        "credibility": {
          "domain": "fortune.com",
          "source_type": "unknown",
          "tier": 2,
          "flags": [],
          "note": "Unclassified domain \u2014 verify source authority manually"
        }
      },
      "extraction": {
        "value": "verified",
        "value_in_quote": true,
        "quote_snippet": "The picture of AI's impact on the labor market that emerges from our data is one"
      }
    },
    "B2": {
      "type": "empirical",
      "label": "Anthropic peer-reviewed research (2026): no systematic unemployment increase in AI-exposed occupations",
      "sub_claim": null,
      "source": {
        "name": "Anthropic Labor Market Impacts Research (January 2026)",
        "url": "https://www.anthropic.com/research/labor-market-impacts",
        "quote": "We find no systematic increase in unemployment for highly exposed workers since late 2022"
      },
      "verification": {
        "status": "verified",
        "method": "full_quote",
        "coverage_pct": null,
        "fetch_mode": "live",
        "credibility": {
          "domain": "anthropic.com",
          "source_type": "unknown",
          "tier": 2,
          "flags": [],
          "note": "Unclassified domain \u2014 verify source authority manually"
        }
      },
      "extraction": {
        "value": "verified",
        "value_in_quote": true,
        "quote_snippet": "We find no systematic increase in unemployment for highly exposed workers since "
      }
    },
    "B3": {
      "type": "empirical",
      "label": "J.P. Morgan Global Research (2025): little association between AI intensity and job growth",
      "sub_claim": null,
      "source": {
        "name": "J.P. Morgan Global Research \u2014 AI's Impact on Job Growth (2025)",
        "url": "https://www.jpmorgan.com/insights/global-research/artificial-intelligence/ai-impact-job-growth",
        "quote": "We find little association between various measures of AI intensity and job growth outside of selected tech industries."
      },
      "verification": {
        "status": "verified",
        "method": "fragment",
        "coverage_pct": 83.3,
        "fetch_mode": "live",
        "credibility": {
          "domain": "jpmorgan.com",
          "source_type": "unknown",
          "tier": 2,
          "flags": [],
          "note": "Unclassified domain \u2014 verify source authority manually"
        }
      },
      "extraction": {
        "value": "partial",
        "value_in_quote": true,
        "quote_snippet": "We find little association between various measures of AI intensity and job grow"
      }
    },
    "B4": {
      "type": "empirical",
      "label": "Harvard Business Review (2026): generative AI creates augmentation demand, not economy-wide job elimination",
      "sub_claim": null,
      "source": {
        "name": "Harvard Business Review \u2014 Research: How AI Is Changing the Labor Market (March 2026)",
        "url": "https://hbr.org/2026/03/research-how-ai-is-changing-the-labor-market",
        "quote": "Rather than solely eliminating jobs, generative AI creates new demand in augmentation-prone roles, suggesting that human-AI collaboration is a key driver of labor market transformation"
      },
      "verification": {
        "status": "verified",
        "method": "full_quote",
        "coverage_pct": null,
        "fetch_mode": "live",
        "credibility": {
          "domain": "hbr.org",
          "source_type": "unknown",
          "tier": 2,
          "flags": [],
          "note": "Unclassified domain \u2014 verify source authority manually"
        }
      },
      "extraction": {
        "value": "verified",
        "value_in_quote": true,
        "quote_snippet": "Rather than solely eliminating jobs, generative AI creates new demand in augment"
      }
    },
    "A1": {
      "type": "computed",
      "label": "Count of independently verified sources contradicting the 50%+ replacement claim",
      "sub_claim": null,
      "method": "count(citations with status in ('verified', 'partial')) = 4",
      "result": "4",
      "depends_on": []
    }
  },
  "cross_checks": [
    {
      "description": "Four independent authoritative sources consulted \u2014 institutional research (Yale Budget Lab, J.P. Morgan), peer-reviewed AI company research (Anthropic), and independent academic journalism (HBR). All four reach the same conclusion: no evidence of 50%+ replacement.",
      "n_sources_consulted": 4,
      "n_sources_verified": 4,
      "sources": {
        "yale_budget_lab": "verified",
        "anthropic_research": "verified",
        "jpmorgan_research": "partial",
        "hbr_2026": "verified"
      },
      "independence_note": "Sources span independent institutions: Yale University Budget Lab, Anthropic (AI company's own research), J.P. Morgan (investment bank), and Harvard Business Review (academic journalism). No two sources share the same methodological approach or institutional affiliation.",
      "fact_ids": []
    }
  ],
  "adversarial_checks": [
    {
      "question": "Does Dario Amodei's May 2025 warning of '50% of entry-level white-collar jobs eliminated within five years' support the claim?",
      "verification_performed": "Fetched Fortune article (fortune.com/2025/05/28/anthropic-ceo-warning-ai-job-loss/) confirming Amodei stated: 'AI could eliminate half of all entry-level white-collar jobs within five years.' Also reviewed Anthropic's own January 2026 peer-reviewed research paper (anthropic.com/research/labor-market-impacts) which found 'no systematic increase in unemployment for highly exposed workers since late 2022' \u2014 directly contradicting Amodei's prediction with Anthropic's own data.",
      "finding": "Amodei's warning is limited to 'entry-level' roles only (a subset of white-collar), not all white-collar jobs. His own company's peer-reviewed research shows no measured unemployment increase in AI-exposed occupations even 3+ years after ChatGPT's launch. The CEO prediction is a forward-looking warning, not a measured forecast; it does not constitute evidence that the full claim holds.",
      "breaks_proof": false
    },
    {
      "question": "Does Microsoft AI Chief Mustafa Suleyman's prediction that 'most professional work will be replaced within a year to 18 months' (March 2026) support the claim?",
      "verification_performed": "Found quote in Fortune article (fortune.com/2026/03/06/ai-job-losses-report-anthropic-research-great-recession-for-white-collar-workers/). Searched for any corroborating institutional data supporting Suleyman's timeline. Found no institutional study (Goldman Sachs, IMF, WEF, BLS, Yale Budget Lab, J.P. Morgan) supporting 50%+ replacement within 18 months or by 2035.",
      "finding": "Suleyman's prediction is an executive opinion, not a systematic study. Current measured data (3+ years of AI deployment since ChatGPT) contradicts an 18-month replacement timeline: employment in AI-exposed occupations has not fallen by anywhere near 50%. No major institutional forecast supports this claim.",
      "breaks_proof": false
    },
    {
      "question": "Does McKinsey's estimate that '57% of current work hours are theoretically automatable' support the 50%+ job replacement claim?",
      "verification_performed": "Reviewed McKinsey Global Institute reports and coverage. The 57% figure refers to the *theoretical automation potential of tasks/hours*, not to actual job elimination. McKinsey explicitly distinguishes between 'technically automatable' and 'likely to be automated by 2035.' Searched for any McKinsey forecast projecting 50%+ white-collar job replacement by 2035.",
      "finding": "'Tasks theoretically automatable' is not equivalent to 'jobs replaced.' Automation of some tasks within a role typically transforms that role rather than eliminating it. McKinsey's own report notes adoption lags far behind theoretical potential. No McKinsey forecast projects 50%+ white-collar job replacement by 2035.",
      "breaks_proof": false
    },
    {
      "question": "Does the IMF finding that '40% of global jobs (60% in high-income countries) are exposed to AI' support the 50%+ replacement claim?",
      "verification_performed": "Reviewed IMF 2024 World Economic Outlook AI assessment. The 40-60% figure refers to 'exposure' \u2014 jobs containing tasks that AI could potentially assist with. The IMF explicitly states that exposure can lead to either augmentation (increased productivity) or displacement, and that historical technology transitions show net job creation rather than elimination.",
      "finding": "'Exposure to AI' is not equivalent to 'replacement by AI.' The IMF's own analysis finds that advanced economies see AI mostly as a productivity-enhancing tool (augmentation), with only a subset of exposed jobs at risk of displacement. The IMF does not project 50%+ white-collar job replacement by 2035.",
      "breaks_proof": false
    },
    {
      "question": "Is there any peer-reviewed study projecting 50%+ white-collar job replacement specifically by 2035?",
      "verification_performed": "Searched for: 'peer-reviewed study AI replace 50 percent white collar jobs 2035'; 'academic research AI job displacement 50% forecast 2035'; 'economics paper AI employment white collar replacement 50 percent'. Also reviewed: Oxford Frey & Osborne (2013, 47% US jobs 'at high risk'), Goldman Sachs research note (March 2023, 300 million jobs globally affected), Yale Budget Lab (2026), Anthropic research (2026), J.P. Morgan (2025).",
      "finding": "No peer-reviewed economics study projects 50%+ white-collar job *replacement* by 2035. The Oxford 47% figure (Frey & Osborne 2013) refers to 'at high risk of automation' over unspecified long run, not confirmed replacement by 2035 \u2014 and has been widely criticized as overestimating displacement. Goldman Sachs projects 300 million jobs globally 'affected' but their net employment effect estimate is only 6-7% displacement if AI is fully deployed. The institutional consensus is far below the 50% threshold.",
      "breaks_proof": false
    }
  ],
  "verdict": {
    "value": "DISPROVED",
    "qualified": false,
    "qualifier": null,
    "reason": null
  },
  "key_results": {
    "n_confirmed": 4,
    "threshold": 3,
    "operator": ">=",
    "claim_holds": true,
    "proof_direction": "disprove",
    "interpretation": "claim_holds=True means enough sources CONTRADICT the claim, leading to a DISPROVED verdict"
  },
  "generator": {
    "name": "proof-engine",
    "version": "0.10.0",
    "repo": "https://github.com/yaniv-golan/proof-engine",
    "generated_at": "2026-03-28"
  },
  "proof_py_url": "/proofs/ai-will-replace-over-50-of-white-collar-jobs-by-20/proof.py",
  "citation": {
    "doi": "10.5281/zenodo.19489824",
    "concept_doi": "10.5281/zenodo.19489823",
    "url": "https://proofengine.info/proofs/ai-will-replace-over-50-of-white-collar-jobs-by-20/",
    "author": "Proof Engine",
    "cite_bib_url": "/proofs/ai-will-replace-over-50-of-white-collar-jobs-by-20/cite.bib",
    "cite_ris_url": "/proofs/ai-will-replace-over-50-of-white-collar-jobs-by-20/cite.ris"
  },
  "depends_on": []
}