trailGenerative AI adoption has so far had minimal effects on aggregate employment and wages
AI is more likely to complement most jobs than to substitute for them entirely
Employers respond to generative AI mainly by reorganizing workers' tasks rather than changing pay or hours
Convergent null findings· for
US aggregate labor-market data show no relationship between occupational AI exposure and changes in employment or unemployment since ChatGPT's release
atomic
Generative AI chatbot adoption has had no detectable effect on worker earnings or hours within two years
AI chatbot adoption in Denmark had precisely estimated null effects on workers' earnings and hours
Real-world AI chatbot users report average time savings of about 3 percent of work hours
Early labor market findings from Denmark on AI chatbots generalize to other advanced economies
Labor market adjustments to AI exposure occur mainly through employment changes rather than compensation changes
Concentrated effects beneath the aggregate· against
US early-career workers aged 22-25 in the most AI-exposed occupations saw a 16% relative employment decline since generative AI's widespread adoption
shared · shown elsewhere
Freelancers in AI-exposed online gig occupations saw measurable earnings declines after ChatGPT's release
shared · shown elsewhere
Generative AI exposure has caused measurable real wage declines in exposed knowledge-industry occupations
atomic
assumed
Aggregate labor-market statistics over a few years can detect economically meaningful effects of a new technology's adoption
claim · empirical · derivedA factual claim that rests on inference from other evidence rather than direct observation.constitution →claim page ↗︎
Generative AI adoption has so far had minimal effects on aggregate employment and wages
↑SupportedEvidence favors the claim, but the chain is incomplete or the sources are secondary.constitution →credence 0.80Credence, from 0 to 1: the Steward's probability that the claim, as stated, is true. Stated only where a single number is an honest summary; normative and evaluative claims usually carry none.constitution →
2depended on by
this rests on ↓
claimA box is a claim: a single proposition the graph assesses, with its own page and map. Click any claim to centre the map on it.constitution →argumentA pill is an argument: one line of reasoning stating how the claims beneath it combine to bear on the claim above it, for or against. Arguments are not destinations; click their claims to explore.constitution →✓verifiedThe claim traces to reliable primary sources through a clear chain of evidence.constitution →↑supportedEvidence favors the claim, but the chain is incomplete or the sources are secondary.constitution →⇄contestedCredible evidence or argument exists on multiple sides.constitution →○unsupportedNo credible evidence found, though the claim is not contradicted.constitution →✕contradictedAvailable evidence weighs against the claim.constitution →?unknownInsufficient information to assess.constitution →◌unassessedNo current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitution →verified factopen questionvalue premisetheoremprizeA double ring marks a claim with a live prize: an amount in owls offered for a machine-checked proof or disproof of its published formal statement. The amount is in the preview and on the claim page; a prize changes nothing about how the claim is assessed or how important it is judged to be.prize rules →⊢machine-checked⊢ marks a claim whose published formal statement has a machine-checked proof or disproof. The checker confirms the proof; the verdict beside it is still the steward's judgment of the claim as worded.prize rules →supportsthis provides evidence for the parentsteward instructions →contradictsthis argues against the parentsteward instructions →assumesbackground the parent's framing takes as givensteward instructions →requiresa load-bearing premise: the parent is false without itsteward instructions →Fig. Detail falls off with distance; every claim is an address.