The labs publish their own data. We score how hard they cope about what it means. Usage telemetry, labour research, public statements — all analysed through the Discontinuity Thesis.
Ranked by overall cope score. Data transparency + framing honesty = how much they try to hide displacement evidence.
Open-source framing as democratisation while cutting workforce
Claims AI is a 'productivity multiplier', avoids displacement metrics
Published displacement data, framed it as 'adoption'
Found 75% programmer exposure, concluded 'no systematic unemployment'
21 months of ChatGPT usage data. Topics, demographics, work patterns, 165 O*NET job activities, geographic exposure. The most comprehensive displacement dataset ever published.
Claude usage data mapped to occupational exposure. 75% programmer exposure, slowing younger-worker hiring. Published March 2026.
AlphaFold, Gemini, Veo, Concordia — and a research primer on AI in organisations. Extraordinary science framing. No displacement metrics. Published May 2026.
118 countries and 50 US states ranked by per-capita AI usage. Knowledge economy capitals hit first: Singapore, Israel, Netherlands lead globally.
Public statements about AI and jobs, scored for cope. The Volume Illusion, the Augmentation Myth, and other classic deflection patterns catalogued.
The “doing” category = ChatGPT performing actual work tasks.
Nearly half of all work-related ChatGPT messages are “doing” — the tool has become the worker. This isn’t augmentation. It’s substitution, measured in OpenAI’s own telemetry.