Claim Verification: "AI will replace over 50% of white-collar jobs by 2035" — Disproved

Automated fact-verification of the claim: "AI will replace over 50% of white-collar jobs by 2035" Verdict: DISPROVED Key Findings 4 out of 4 independently sourced authoritative publications contradict the claim; 3 are fully verified (B1, B2, B4), exceeding the threshold of 3 required for a disproof. Anthropic's own peer-reviewed research (B2) found no systematic increase in unemployment in AI-exposed occupations since ChatGPT's launch in late 2022 — contradicting even Anthropic CEO Dario Amodei's own public warnings. Yale Budget Lab (B1) concluded the labor market "largely reflects stability, not major disruption at an economy-wide level" as of early 2026. The strongest pro-claim sources (Amodei's May 2025 warning, McKinsey's 57% automation potential figure) do not support 50%+ job replacement: Amodei's prediction covers only entry-level white-collar roles, and McKinsey's figure measures theoretical task automation potential — not permanent job elimination. No peer-reviewed economics study projects 50%+ white-collar job replacement by 2035; the institutional consensus (Goldman Sachs, IMF, WEF) projects far lower displacement (6–7% net at Goldman Sachs, net job creation of 78 million at WEF by 2030). Files proof.py — Re-runnable Python verification script proof.md — Structured proof report proof_audit.md — Full verification audit trail proof_narrative.md — Plain-language summary proof.json — Machine-readable structured data Generated by Proof Engine v0.10.0.