Found and graded S to C by a screening method I built and keep improving. Each source has an English digest and a link to the original.
6 sources filed · EN 6
All 21 firms reported active AI deployment or concrete plans; sectors include manufacturing (6 firms), finance, insurance and real estate (4) and business services (4).
6,000 → 15,000daily customer issues handled by 300 insurance service staff after AI deployment (+150%)
Structure-aware chunking is supported for nine languages (Kotlin, Java, Python, JavaScript, TypeScript, C#, PHP, Go, Rust); everything else falls back to line-based splitting.
32xstorage reduction from one-bit binary vectors versus 32-bit floats
Three scenarios: modest (impact like the internet), substantial (bigger than the internet or the railroad), extreme (likely requires recursively self-improving AI adopted quickly).
$34.1T / $36.3T / $44.4TUS GDP in 2030 at 2025 prices in the modest, substantial and extreme scenarios
Post-trained models are 3.6% less likely than their base versions to call back older applicants; eight of ten models shifted against age, median shift -4.7%, largest Granite 4 (0.0% to -10.0%).
5.6% to 17.3%global systemic exclusion rate, base models versus post-trained models
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%
Share of workers expecting AI to facilitate their work ranges from 42% to 86% by country; threat ranges from 18% to 46%.
42% to 86%range across countries of workers expecting AI to facilitate their work
3 sources filed · EN 3
Theorem 1.1: for every positive viscosity there is a smooth, compactly supported force and smooth velocity and pressure fields, starting from zero velocity, whose kinetic energy stays bounded while maximum velocity becomes infinite as time approaches 1.
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.
3 sources filed · EN 3
87% of LLM calls are agent-initiated; model calls and tool calls run at a near 1:1 ratio (760.5M LLM calls vs 774.7M tool calls).
87%LLM calls initiated by the agent rather than the user
By 2024 US public firms employ more than 300,000 AI-skilled workers, 2.1% of their US workforce, with AI shares rising in every industry.
7.5 ppextra revenue TFP growth over 2018-2024 per one-SD increase in AI worker share growth
Claude Opus 4.7 ranks first on average (0.739) and best-of-three (0.790); GPT-5.5, GLM-5.2 and Gemini-3.1-Pro form a second tier within 0.029 of each other on average.
3 of 252best-seed solutions judged methodologically novel
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
6 sources filed · EN 6
Vulnerability hunting: 45 agents with a shared forum and an arbiter found 266 vulnerabilities in 15 open-source projects over 27 million tokens, against 21 over 6.5 million tokens for independent agents.
266 vs 21vulnerabilities found by a 45-agent coordinating swarm (27M tokens) vs independent parallel agents (6.5M tokens), Mythos Preview
No widespread, economy-wide job displacement associated with AI.
19%employment shortfall for workers aged 22-25 in highly AI-exposed occupations versus less-exposed peers, June 2026
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
Deployment stage: 42% are testing or have a few deployments, 43% are expanding across functions, 15% have scaled orchestrated multi-agent adoption.
31% → 74%leaders expecting at least half of processes redesigned around agents within two years vs four years
74% expect nearly half of their business processes to be redesigned or rebuilt around AI agents within four years; 61% expect most agents to be generally autonomous, with humans in oversight.
5%organizations saying their business processes are highly prepared for AI agents
A task vulnerability index built from eight task traits: digital observability, output regularity, ex-post evaluability, retrieval intensity and error tolerability push exposure up; tacit context, liability and coordination-and-trust push it down.
19 ppdrop in correct solutions on a task outside the AI frontier in the 758-consultant field experiment the paper cites
1 source filed · EN 1
Without AI, higher-education participants score 0.548 SD above lower-education participants; with AI, the gap is 0.139 SD, closing 75% of it.
0.548 SD to 0.139 SDeducation performance gap without vs with AI access, about 75% closed
1 source filed · EN 1
93.4% of workers are aware of generative AI tools; 51.5% are familiar with how they apply to their current work, 15.0% very familiar.
35.9%Canadian workers aged 15-69 who used generative AI at work in the 12 months to March 2026
3 sources filed · EN 3
Each agent got six days, $3,000 in Anthropic API credits, GPU credits, a VM and open web access, with the goal of a top-conference paper.
2/6 and 1/6overall scores the original authors gave the two agent-written papers; both unambiguous rejections
AI use among firms in OECD countries rose from around 7% to 20% between 2021 and 2025, with larger firms and start-ups ahead and SMEs held back by cost, infrastructure and skills shortages.
7% to 20%share of firms in OECD countries using AI, 2021 to 2025
Since October 2022, employment in the most AI-exposed occupations grew 0.1%, against 0.3% in the least exposed: an "AI index" of -0.2, small and not statistically significant.
0.1% vs 0.3%employment growth since October 2022 in the most vs least AI-exposed occupations (data to February 2026)
2 sources filed · EN 2
Leaders feel less prepared to manage disruption than earlier in 2026, down seven percentage points on average.
23%C-suite leaders reporting widespread, sustained business value from AI, down from 32% earlier in 2026
Only 17% of organisations report advanced or transformational workforce readiness, defined as AI embedded in workflows and linked to measurable business outcomes.
3%organisations reporting leaders highly prepared to manage AI-enabled ways of working
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
3 sources filed · EN 3
Worker access to AI tools grew 50% in one year, yet fewer than 60% of those with access use AI daily and 84% of organisations have not redesigned jobs or workflows around it.
84%organisations that have not redesigned jobs or workflows around AI (Deloitte State of AI in the Enterprise 2026)
11% of leaders place their organisation in reinvention; nearly 90% remain in enablement or automation.
11%leaders who say their organisation is in the reinvention horizon
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
9 sources filed · EN 9
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
85% are open to collaborating with an AI agent; 74% would have one execute tasks such as returns or renewals; 32% would let it make purchase decisions within limits; 9% would allow fully autonomous buying.
74%consumers who would trust a personal AI agent more than their best friend to make a purchase for them
37% of young workers worldwide are in medium or high AI-exposure occupations: 75% in Eastern Asia, 69% in Northern America, 63% in Europe.
37%young workers (15-24) globally in occupations with medium to high exposure to AI-driven task change
76% say AI delivers meaningful business value (64% in Q1); 78% think their AI strategy can be future-proofed (70%); 79% would keep AI a top investment priority in a recession (74%).
14% vs 4%established ROI where accountability for AI outcomes is clear vs not
25 target programs across Unix utilities, data query tools, bioinformatics, interpreters, static analysis, cryptography and compression.
56%benchmark score of the best model, Claude Opus 4.7, across 25 target programs
More than 90% of organizations use AI in talent acquisition, and fewer than 5% report transformational outcomes across most metrics.
54%of organizations say AI is making candidate evaluation harder
It asserts that model capability doubles every six months and inference costs fall 10x every nine months.
5% to 14%rise in enterprise AI success rates cited from BCG (January 2024)
It draws on RAND's 2024 model-weights work, which maps five security levels (SL1-SL5) to five threat-actor capacities (OC1 amateurs to OC5 top nation-states).
5security clusters: access and interfaces, development and supply chain, monitoring and response, personnel, physical
Global HNWI wealth rose 8.7% to USD 98.3 trillion in 2025, up from 4.2% growth in 2024.
41%of relationship manager time spent on operational tasks rather than clients
2 sources filed · EN 2
Personal-use share of chat and Cowork conversations moves from about 35% on weekdays to just under 50% on weekends.
0.37 pointsaverage AI-autonomy gap (1-5 scale) between Claude Code and chat/Cowork for the same output types
Weekly active Codex users grew more than fivefold between January 1 and June 1, 2026.
99.8%share of OpenAI workers' output tokens produced in Codex rather than ChatGPT, June 11, 2026
3 sources filed · EN 3
AI specialist postings rose 68.9% from 2024 to 2025, while all postings rose 8.6%.
68.9% vs 8.6%growth in AI specialist job postings vs all job postings, 2024 to 2025
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)
The occupation exposure index follows Felten et al. in five steps: take each occupation's ONET ability profile, score 10 AI applications against 52 abilities, combine these into ability exposure, weight by each ability's importance, then scale to 0-1.
449.1 mUS job postings in the sample, out of about 1,089 m across 27 markets
11 sources filed · EN 11
In a sample of about 105,000 Copilot chats from one week in February 2026, 49% of user goals supported cognitive work (analysis, decisions, problem solving); 19% interacting with others, 17% producing work, 15% finding information.
19%AI users in the Frontier zone, where individual capability and organisational readiness are both high
From a Capgemini Research Institute survey of biopharma R&D leaders: 86% expect AI to reshape R&D but 63% lack the data maturity; 76% anticipate new ways of working but fewer than half feel ready; 71% are defining enterprise AI strategies, 8% are implementing them.
~84%share of 270 pharma and MedTech processes Capgemini rates as 'agentifiable'
Micro inputs: productivity gains on AI-exposed tasks of 14% to 55% from experimental studies (Brynjolfsson, Li and Raymond 2025; Gambacorta et al. 2024).
2.5 percent to 4.1 percentestimated fall in the EU's share of global income after ten years if it lags trading partners on AI adoption
Singapore planned about S$3.3bn of government ICT spending in FY2023, with more than 30.0% (about S$1.0bn) for applications on the Government Commercial Cloud.
~30,000cases per month handled by Singapore GovTech's OneService chatbot, which predicts case category and routes to agencies
Across 56 months of European Digital Media Observatory briefs (June 2021 to January 2026), no category fell below 71% monthly prevalence; health appeared in 100% of months, the Ukraine conflict in 92.9%, immigration 89.3%, climate 83.9%.
228review-level studies (2020-2026) mapped by the team
Only 1 in 4 AI users say their organisation has clear and consistent leadership alignment on AI.
32,200+ hourstime saved in Microsoft Cloud Supply Chain after workflow redesign and agents
A physical-activity coaching case (GPTCoach and the Bloom app): expert coding found over 93% of the coach's conversational strategies were consistent with motivational interviewing or neutral, though gaps against skilled human coaches remained.
5xincrease in app usage time with the LLM coach versus a no-LLM control, while physical activity stayed comparable (N=54, four weeks)