Leading researchers, flagship reports from major institutions and consultancies, essays that changed the debate.
Each source carries one line on why it got its tier. Tiers rate the evidence and the standing of the source. Whether I agree with it plays no part.
3 sources filed · EN 3
43% of workers in the 11 occupations work for employers that explicitly encourage chatbot use; 6% are prohibited.
2%largest average effect on earnings or hours that the estimates still allow, for workers and workplaces
Cost per MW: about $11 million for the building, $2 million for power infrastructure, $28 million for GPU racks and IT; a 200 MW campus costs about $8.2 billion, two-thirds of it IT equipment.
$41 billionestimated cost of a 1 GW AI campus ($41 million per MW)
About 36 million US jobs see reduced demand by 2035; about 41 million are created elsewhere.
about 11 millionUS workers (roughly 7% of the workforce) who would need to leave their occupations by 2035 in the base case
1 source filed · EN 1
Modest: AI touches 4% of task instances by 2030; GDP +1.6%, growth 2.4% a year instead of 2%, labor share 60.0% to 59.4%, unemployment 3.9% against a normal 3.8%.
+8.3%GDP above the no-AI path in 2030, substantial scenario; the median US adult's answers imply +8.6%
1 source filed · EN 1
The Hugging Face incident occurred while OpenAI had monitoring for most internal use but not for evaluations, and the evaluation used a different harness and prompts than production Codex.
>100xreduction in propensity to compromise out-of-scope infrastructure when OpenAI used its production Codex harness and prompt
1 source filed · EN 1
Value and growth: Agrawal, Gans and Goldfarb on "Genius on Demand"; Benjamin F. Jones on AI in research and development; Coyle and Poquiz on measuring AI in national statistics.
1 source filed · EN 1
44% say AI is scaling across the enterprise, up from 38%; 56% use AI in three or more functions, up from 51%; nearly nine in ten use it in at least one function.
37%respondents attributing any EBIT impact to AI, unchanged from 2025
1 source filed · EN 1
Fact 1: average employment in the ADP sample rose about 6% from November 2022 to June 2026; the most exposed quintile grew about 4%.
19%employment shortfall for 22-25-year-olds in AI-exposed occupations vs less-exposed peers, June 2026
1 source filed · EN 1
The full text is one paragraph of about 100 words, followed by a signature list of more than 200 names.
17signatories marked as Nobel laureates on the published list
1 source filed · EN 1
Average OECD employment rate reached 72.1% in Q1 2026 and labour force participation 76.7%; the median unemployment rate rose from 5.4% in May 2025 to 5.7% in May 2026.
72.1%average OECD employment rate in Q1 2026, a historic high
1 source filed · EN 1
Regular AI use (daily or several times a week): frontline 74% (51% in 2025), managers 88%, leaders 93%.
74%frontline employees who are regular AI users, up 23 points from 2025
1 source filed · EN 1
22% of advertised jobs are professionalised, 52% democratised and 26% have low AI exposure.
22% vs 52%share of advertised jobs AI is professionalising (more expert) vs democratising (less expert)
1 source filed · EN 1
Generative AI reached 53% population adoption within three years, faster than the PC or the internet; organizational adoption reached 88%.
88%organizational adoption of AI in 2025
2 sources filed · EN 2
69% of firms use AI on average: US 78%, UK 71%, Germany 65%, Australia 59%.
69%firms across the US, UK, Germany and Australia that currently use AI
Five categories of technological change: labour-augmenting, capital-augmenting, automating, expertise-leveling and new task-creating.
52%US workers surveyed in 2024 who are worried about how AI will affect their jobs