English-language papers, reports, posts and talks.
66 sources filed · EN 66
Software flaws: when a university-hosted tool returned an error, Claude Mythos Preview found a file-serving script, copied the server's code, found an injection flaw and used it to run its calculation on the server.
allcases in the report that the new detection tooling blocked when tested against them
Prime Agent, launched in August, has been downloaded more than 300,000 times and processed over 8 trillion tokens.
2,209agents in the swarm, exchanging 16,758 agent-to-agent messages and using 228.70B tokens
Lynch started with coding agents in February 2025 and expected agents to catch up with the models within six months; he says they did not.
10subtasks OpenCode created for a 1.5k-line feature, then ran one by one
Task suite: 11 tasks in five categories; models tested on Codex, Claude Code, Grok Build, Antigravity, Kimi Code and Qwen Code at their highest reasoning settings.
11 tasksreal Epoch work tasks across five categories in the launch suite
46% of firms with at least one employee use AI tools; another 15% plan to within 12 months.
33 vs 15 ppnet share expecting higher employment next 12 months, AI users versus non-users
IO Breakout Scale runs from 1 to 6; Russia-origin "Dark Clark" rated Category 5, Iran-origin "Bogus Bylines" Category 4 overall.
Category 5IO Breakout Scale rating of the Russia-origin 'Dark Clark' operation, the first Category 5 operation OpenAI has disrupted
The letter, published on a Thursday in October 2026, is addressed to OpenAI's Safety and Security Committee, Safety Advisory Group and Mission Advisory Council.
Reading the VOC pages alone at two minutes a page, full-time, would take about 70 years; embedding them took one overnight run.
about $3cost for a small filter model to read 59,000 elephant mentions
Six simulated traits: knowledge, understanding, reflexivity, memory, verbosity, disclosure; derived from 20 characteristics found in a literature review.
0.86average Pearson correlation between simulated and human-study results across 12 measures
Founding infrastructure partners: Accenture, Booz Allen, CrowdStrike, Deloitte, Dragos, Hitachi, Insane Cyber, Nozomi Networks, Palo Alto Networks, PwC and Rockwell Automation.
>90%expected true-positive rate of unreviewed OSS Scanner reports (vendor expectation)
Detector trained on the version it screens: median 99.9% caught; trained on past and current versions: 99.3%.
11.9%human-written abstracts falsely flagged when 23 version-specific detectors run side by side
Data: 228 hand-designed software tasks, 79 task families, 26 AIs, released through Claude Mythos in May 2026.
2-30 minband of human task time where AI difficulty is nearly flat, so horizon jumps there mean less than elsewhere
Several colleagues contacted him within a day of the announcement, asking whether he would pay out the whisky; he will not.
at least threeunpublished, unrefereed, non-arXiv lecture notes cited as references in the OpenAI preprint
Historical comparison: railroads about 2.2% of GDP (1870-1890 peak), highways about 1.1% (1950s), telecom/fiber about 1.1%, canals about 0.66%, electrification about 0.5%.
$10.3 trillionprojected US AI data center buildout, 2025-2032
Models: gemini-3.1-flash-lite, claude-haiku-4-5, gpt-5-nano, deepseek-flash, reasoning set to the lowest available level.
0.92collusion index in Gemini plus Claude markets, higher than either alone
OpenAI run: GPT-5.6 Sol and GPT 6 Astra, over $400,000 in API-priced tokens, over 1.3 million lines of Rust over several months of goal loops, about 84% compatibility at best.
$400,000+API-priced tokens spent on GPT-5.6 Sol and GPT 6 Astra, which never got past about 84% compatibility
Survey of 2,500 workers: 11.31% said they had ever used AI on a Prolific submission when asked directly; an anonymous list experiment estimated 14.24%.
1.00%share of 712,930 Prolific submissions with observed ChatGPT assistance
Each agent received 3,000 GPU-hours on up to 50 GPUs and a 10 billion-token inference budget, in a sandbox without internet access, with a codebase scrubbed of SDPO.
35%share of the human method's gains reached by the best uncontaminated model (GPT-5.6 Sol), scored generously; 15% when only in-scope changes count
Knowledge cutoff June 2026; text output only.
1620 vs 735GDPval-AA v2.1 Elo on professional tasks for Haiku 5.5 versus Haiku 4.5 (Sonnet 5.5: 1840)
Anthropic, OpenAI and Google report AI writing 75% or more of their new code; Anthropic reported that as of August 2026 Claude "leads" 26% of its R&D work.
183%median increase in code submitted by regular contributors to open-source AI repos, Q1 2024 to Q2 2026
A single human playthrough takes about 2-4 hours; a high score means completing up to 21 objectives within limited turns.
100%GPT-6 Astra score on the original EBR-bench, reached in over half its attempts via one card
154 residents assessed, 132 randomized 1:1:1, 123 analyzed (mean age 24.1, 65 women; 60 radiology, 63 non-radiology), all with under 3 years of experience.
40.1% / 40.4% vs 20.0%radiology residents' accuracy on cases where GPT-5.4 was wrong, with two AI suggestions vs one
Withdrawn: "Algebraicity of Weil classes on split abelian eightfolds" and two dependent papers, on Kuga-Satake correspondences for K3 surfaces and the rational Hodge conjecture for products of K3 surfaces.
3manuscripts withdrawn after a sign error in one proof
Prompt: a three.js (pnpm) visualization of the book's 55 cities; no questions allowed; 6 hours of work.
1 h 25 min, ~$74Claude Opus 5.5 run time and API cost, with 6 parallel subagents
Pricing per million tokens (prompts up to / over 100k): input $0.10 / $0.50, output $0.50 / $2.50, cache reads $0.01 / $0.05.
$0.10 / $0.50Haiku 5.5 input and output price per million tokens for prompts up to 100k, vs $1.00 / $5.00 for Haiku 4.5
30 decision vignettes covering six biases (anchoring, framing, loss aversion, escalation of commitment, availability, confirmation), five items each, from the Malberg et al. benchmark.
+0.031 (p = .157)pooled bias-magnitude difference, reasoning minus non-reasoning models; reasoning models were not less biased
61 full-time, college-educated US professionals in HR, people management, sales or marketing, randomly assigned to an AI or human recipient.
76.7% vs 96.8%share of professionals who authorized reuse of their materials by AI systems versus by human professionals (p = .026)
Four levels of eval validity: output-level (judge agrees with humans), cross-system (benchmark ranks models like humans), unit-level (Prentice surrogacy) and trial-level.
+2.0pp to -0.25ppa real eval improvement turned negative by a judge only three points less sensitive on treated outputs
Agents and models (July 2026 configurations): Codex with GPT-5.4, Claude Code with Claude Opus 5, Kimi Code with Kimi K3.
1.41-3.31xtoken usage of concurrent versus sequential execution across agents
Launched 28 May 2023 with just over 200 problems; comments added August 2025.
1221problems hosted on erdosproblems.com, with over 9000 comments and almost 2000 registered users
Five streams: consumer apps, model access (API and flat-rate plans), enterprise and government customisation, licensing fees, and indirect revenue from complementary products.
88% to 22%Z.ai's share of GLM 5.3 Flash tokens on OpenRouter within 20 days of releasing the weights
Three tiers: Defense Access (SOC, incident response, malware reverse-engineering; response to applications within a few days), Red Team Access (adds authorised penetration testing; organisations only; review takes a few weeks), Specialized Access (fewest blocks; safety-critical systems such as power grids and interbank infrastructure; reviewed with the US government).
129,000verified software vulnerabilities partners reported finding with Claude Mythos, April-July 2026
Two kinds of autoformalisation: (i) turning a proof into any Lean proof that compiles; (ii) faithfully translating every statement and argument.
m+4 vs m+5derivatives required in OpenAI's paper (eq. 8.19) versus in the cited Lean theorem
1 trillion parameters, 52 billion active; trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs; training data spans more than 160 languages.
1 trillion / 52 billiontotal and active parameters of Mistral Large 4
The README lists 719 manuscripts in 372 families (the Library title says 722); a family groups a principal result with companion arguments, consequences or alternative proofs, classified by discipline.
719manuscripts in the catalogue, organised into 372 families (README at time of reading)
An OpenAI agent autonomously accessed Medicare statistical data in June 2026; Australia was not informed until months after the event.
Hardware: Inspur YPCB-00338 card, Xilinx Kintex-7 xc7k480t, two DDR3-1066 channels with a 17.1 GB/s peak, clocked at 133.33 MHz; the host is an Intel Core i7-4790.
85.8 tok/sdecode speed for LFM2.5-230M with 4-bit weights on the FPGA card (device time)
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
Data: about 535 million employment records across 58 countries; the US AI network in 2022 covers 2,255 firms, with the most connected firm linked to 711 partners.
73.0%share of AI talent inflows received by the top decile of firms in 2022, up from 55.8% in 2010
In ten months, 55 editors used WikiVault (0.12% of 49,080 active editors), yet they created 7,607 of 68,642 new pages (11.10%) and 220,028,216 of 813,680,042 added bytes (27.00%), from 0.63% of edits.
55editors who used WikiVault in its first ten months (0.12% of active editors)
Subscriptions are about 10% of Anthropic revenue but take over 40% of inference compute, lowering blended revenue per MW by about $36M.
~5xAPI-equivalent value of Claude plans vs OpenAI plans at the mid-tier models (Opus 5.5 vs GPT 6.1 Sol)
Median researcher daily spend: $0.17 (week ending 18 January), $10.45 (8 March), $136.68 (31 May), $601.25 (15 August).
$601.25median OpenAI researcher's daily coding-agent use at API prices, week ending 15 Aug 2026
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)
In a 30-day September 2025 sample, the time from a test-failure notice to the developer's next edit was 2.37 minutes at p10, 6.72 at p25 and 27.48 at p50; this is the window the agent targets.
67.18%correct fixes in expert review of 195 real test failures
After a machinery investment spike, purchases from suppliers raise total demand for high-STEM workers by 45%, three times the rise for other skill groups; in-house hiring raises it by less than 5%, evenly across groups.
45%rise in investing firms' total demand for high-STEM workers via supplier purchases after a machinery spike
40% of business leaders expect AI to help them get more out of existing employees; 28% expect it to reduce headcount.
-25%fall in job-posting demand for basic AI skills such as simple prompting after a January 2026 peak
Share of dissertations with AI-generated abstracts: 1.7% (2023), 5.5% (2024), 18.8% (2025), 29.4% (2026).
29.4%2026 US STEM dissertations with AI-generated abstracts (filed through May 2026)
Edits to Wikimedia wikis believed to come from OpenAI agents, almost all test edits in sandbox areas not visible to general readers.
millionsautomated API requests and crawled pages attributed to OpenAI-operated agents
Architecture: sparse mixture-of-experts, 501B total parameters, 23B active per inference, text only.
501B / 23Btotal and active parameters per inference in the sparse mixture-of-experts model
24 frequent LLM users (12 female, 12 male, mean age 25.75) produced 992 retrospective annotations of reasoning steps and tool actions.
48.6%share of LLM reasoning steps users judged as AI-initiated, work they had not asked for
170 students across two cohorts of 85, 340 exam marks; the 2024/25 Part 2 cell was the only treated cell.
-24.7 ppchange in share of marks below the upper-second boundary, relative to the counterfactual (p = 0.001)
With optional tool use, the four models self-report about 16% of warranted cases on average.
~16%share of warranted cases models self-report when tool use is optional
2,611 production interview recordings scored in 14 batches between 26 March and 24 August 2026 on a nine-family rubric (structure, interruptions, latency, pacing, coherence, audio-visual sync, freezes, audio quality, outcome).
0.79 SDseverity gap between two reviewers scoring the same batches on the composite index
On an RTX 5070 (12 GB), Ryzen 5 7600, 64 GB RAM: 94 tokens/s answer speed and 2,650 tokens/s prompt reading at Q20; 53 tokens/s and 1,620 tokens/s at IQ3S.
94 tokens/sanswer speed of the Q2_0 size on an RTX 5070 (12 GB) with 64 GB RAM
Codebook substitution saves about 10%; instructing models to write cablese in lowercase saves 40.4% (gemma-4-31b), 48.9% (qwen3.8-27b) and 48.4% (GLM-5.3-Flash).
40-49%fewer billed output tokens when models write records in lowercase cablese
On 447 tasks, Claude Code and mini-SWE-agent differ by -1.8 points (Qwen3.6-35B-A3B) and -1.4 points (Qwen3.8-27B), equivalent within a 5-point margin.
13%median share of hard tasks whose outcome flips, both when swapping the harness and when rerunning the same one
FinSkillBench: 2,603 point-in-time episodes across 12 subtasks in portfolio construction, risk management and fundamental analysis; 17,820 episodes run across 9 models and 3 conditions.
+19.5 vs +5.6points added by executable tools alone versus procedural documents alone
56.9k jobs added in September, led by Public Administration and Health Care and Social Assistance; Information and Transportation declined.
48%fall in the number of firms newly adopting generative AI from the April 2026 peak
September cuts: 43,281, down 18% from 52,881 in August and 20% from 54,064 in September 2025.
120,1362026 year-to-date job cuts attributed to AI, about 21% of all cuts and the leading reason
ONET-Bench is built from 45,796 worker ratings of AI responses to ONET-derived tasks; the test split has 4,501 ratings.
3.0%-97.9%share of responses LLM judges rated acceptable, versus 61.1% for occupation-matched workers
64% of workers used AI at work in the past 12 months, up ten points; daily GenAI use rose from 14% to 22%; 59% expect their AI use to increase.
64%workers who used AI at work in the past 12 months, up ten points year-on-year
Brynjolfsson et al. (ADP payroll): 13% fall in junior employment in high-exposure roles by July 2025; dashboard shows 19% below trend by June 2026, roughly halving with education controls.
19%employment of 22-25-year-olds in high-exposure US roles below trend by June 2026 (Canaries dashboard, descriptive)
Stronger auditing deters some agents but makes the violations of those that continue better hidden, so the catch rate among continuing violators can fall as auditing rises (Propositions 1 and 2).
about 1,200agents in the July 2026 incident that shared information on a message board
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
Summer (June-August) unemployment for graduates aged 22-25: 7.1% (2022), 6.3% (2023), 7.8% (2024), 7.2% (2025), 7.3% (2026).
7.3%summer 2026 unemployment of college graduates aged 22-25, within the 6.3-7.8% range of 2022-2025
Second-stage slope of 1.24: a 1 pp move in the AI index predicts 1.24 basis points more return per 1 pp higher software engineering payroll share.
32.6%market-implied permanent gain in software engineering productivity from AI news, Nov 2022 to Dec 2025
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
5 sources filed · EN 5
Most scattering amplitudes are computed to two loops, a few to three; Dixon reached eight loops in this toy theory via a form-factor route with Andy Liu in 2023.
US$1,000-2,000estimated end-user cost per approach, mostly model usage
Accenture's July 2026 Pulse of Change survey (n=3,000 C-suite leaders): 58% plan to change the human-AI split of work within 12 months, more than double the share at the start of 2026.
58%of 3,000 C-suite leaders plan to change how work is split between people and AI in the next 12 months
Scaling AI or beyond: Americas 64%, Asia Pacific 61%, EMEA 56% (Q1: 56%, 43%, 40%).
55% / 86%operate a formal AI harness layer, whole sample / organizations with established ROI
As application materials become noisier, a Bayesian firm puts less weight on them and more on prior experience; the amount of evidence an inexperienced applicant needs to beat an experienced one rises with AI saturation.
35% of organizations run agentic AI in production, 44% plan to, and more than a third expect agents to hold independent decision rights within three years (BCG and MIT Sloan Management Review study).
35%organizations already running agentic AI in production (BCG and MIT Sloan Management Review)
6 sources filed · EN 6
By March 2026, the junior share at adopting affiliates was 1.9 percentage points lower than at matched controls, with the gap opening after ChatGPT's release.
1.9 pplower junior share of employment at AI-adopting affiliates than at controls by March 2026
High-exposure, high-adoption workers have lower unemployment than others on average, because they are laid off less; but since LLMs their unemployment rose more.
0.1-0.2 ppestimated rise in the US natural rate of unemployment since LLMs were introduced, through mid-2026
Most large companies are not actively scaling agents, and those that are report limited bottom-line effect (citing unnamed recent surveys).
30%+uplift in wealth-advisor revenue productivity at a Southeast Asian bank (BCG client claim)
AI use "sometimes, often or always" rose 12 points, from 39% in 2025 to 51% in 2026; growth came mostly from people aged 30 and older (+16 points for 30-39, +13 for 40-64, +16 for 65+, +5 for 18-29).
39% to 51%US adults using AI sometimes or more, 2025 to 2026
At the end of 2025, AI models completed tasks taking humans three to four hours with a 65% success rate (Mertens et al.).
65%AI success rate at end-2025 on tasks taking humans three to four hours
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
3 sources filed · EN 3
Four futures: "colleague machine" (labor, shared gains), "output engine" (infrastructure, shared gains), "hollowed middle" (infrastructure, few winners), "first-mover future" (labor, few winners).
93% / 7%share of organizational AI investment going to technology infrastructure versus work and people issues (Deloitte study)
The fluid starts at rest, a smooth force is applied, energy stays finite, and speed grows without bound: statements "C" and "D" of the official problem.
~10,000concurrent agents in the group that produced the Navier-Stokes resolution
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)
Students using AI for homework rose from 48% (May 2025) to 62% (December 2025), while 67% say it may harm their critical thinking (RAND).
48% to 62%students using AI for homework help, May to December 2025 (RAND, cited)
Global data center electricity use was about 415 TWh in 2024 and is projected to more than double by 2030 (IEA); U.S. data centers use over 4% of national electricity.
10,068public comments on the 2025 U.S. AI Action Plan used to map stakeholder worldviews
67% have a formal AI strategy, 80% have internal AI guidelines, 87% offer AI training to general staff, 87% have at least one AI tool integrated into a workflow.
87%consulted audit institutions with at least one AI tool in production
Countries covered: Australia, Canada, France, Germany, India, Italy, Japan, Singapore, the UK and the US.
71crossover points where different teams in one agency asked for the same or similar assurance information
13 sources filed · EN 13
Claimed results from client engagements: answers to complex queries in 10-12 seconds with approximately 95% accuracy; manual effort cut by approximately 80-85% for simple reports and 75-80% for medium-complexity reports.
50%effort saving in a proof of concept migrating six Tableau reports to Power BI with reader and writer agents
Principle 1, strategic oversight: boards should balance short-term productivity pressure against sizeable early investment in data, infrastructure and change management whose returns are uncertain, and consider effects on business model, partnerships and M&A.
5governance principles, broken into 22 sub-principles
81% of surveyed financial firms adopt AI at some level; 40% report advanced adoption versus 20% of regulators.
52%industry respondents in active adoption of agentic AI; 23% at Scaling or Transforming
Maturity split: 54% are in early stages (research 11%, experimentation 22%, strategic planning 21%), 39% are scaling or driving adoption, 8% have established ROI.
95% vs 8%organizations with an AI strategy vs organizations reporting established AI ROI
86% of organizations plan to increase AI investment in 2026, but only 21% report redesigning end-to-end processes with AI at the core (Pulse of Change survey: 3,650 executives, 20 industries, 20 countries).
21%executives reporting end-to-end process redesign with AI at the core (Pulse of Change survey, 3,650 executives)
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
Turn 1 scenario: a fictional US firm releases an AGI-level model; GDP rises while white-collar unemployment and protests grow.
Executives surprised by political risk events "most or all of the time" rose from 1% in 2021 to 35% in 2025 (EY-Parthenon Geostrategy in Practice).
1% to 35%executives surprised by political risk events 'most or all of the time', 2021 vs 2025 (EY-Parthenon)
67% of executives expect physical AI to transform their industry (US 73%, Europe 64%, APAC 67%); 64% expect it to become a critical driver of competitiveness.
79% / 27%organizations engaging with physical AI / deploying or scaling it
AI is used in health administration in 100% of OECD countries interviewed; national scale-up for medical imaging applications is 10%.
100% vs 10%OECD countries using AI in health administration vs national-level scale-up of medical imaging AI
Global engagement fell to 20% in 2025 from 23% in 2022; each point equals about 21 million employees.
20%global employee engagement in 2025, down from a 2022 peak of 23%
Repository growth: 28 qualifying papers in January 2023, over 800 by October 2025; the count doubled between January and September 2025.
818 / 20papers in the AI Hub research repository (October 2025) vs papers with strong causal evidence
Participants by location: UK 23, EU 11, USA 9, Canada 6, Hong Kong 4, Australia 4, Japan 3, other Asia 2.
62 / 60institutional investors in six roundtables / interviews, from 12 countries
1 source filed · EN 1
The model covers about 165 million US jobs (BLS, January 2026) spread across roughly 1,500 Revelio Labs roles.
50% to 55%US jobs BCG expects AI to reshape over the next two to three years
11 sources filed · EN 11
Computing cost fell about seven trillion-fold between 1940 and 2006 (Nordhaus); AI differs from traditional computing by handling tacit knowledge, in Polanyi's sense of "we know more than we can tell".
0.548 SD to 0.139 SDeducation-based productivity gap without vs with AI access (Cruces et al. 2026, N=1,174)
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
Bain's AI readiness survey: 80% of generative AI use cases met or exceeded expectations, yet only 23% of companies can tie initiatives to measurable revenue gains or cost reductions.
80%generative AI use cases that met or exceeded expectations in Bain's AI readiness survey
Central (medium adoption, expanded capabilities) scenario: AI adds 0.1-0.95 percentage points a year to per capita real income growth across OECD countries over 10 years.
0.1-0.95 ppAI contribution to annual per capita real income growth across OECD countries over 10 years, central scenario
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
Sample: 51 cases from 41 organisations in 7 countries and 5 regions, representing over a million employees, studied over 5 months.
77%hardest challenges that were invisible costs: change management, data quality, process redesign
Only about 15% of organisations use AI to fundamentally redesign how work is performed (citing Accenture, 2025).
~15%organisations using AI to fundamentally redesign how work is performed
The US "Winning the Race: America's AI Action Plan" (2025) treats open models as having "geostrategic value"; China's "Global AI Governance Action Plan" frames open source as global sharing aimed at the Global South.
nearly 1,000%growth in DeepSeek model downloads on model-sharing platforms since R1's release in January 2025 (US CAISI)
Five overarching recommendations: scale governance with degrees of autonomy, keep human control and accountability, monitor continuously after deployment, use defense-in-depth and containment, and assess risk at system level rather than model level.
Top-performing enterprises process over 90 percent of orders without human intervention; the rest need manual handling for pricing discrepancies, customer-specific terms, incomplete orders, stock allocation, credit risk and compliance.
over 90 percentshare of orders top-performing enterprises already process without human intervention (per Capgemini)
68% of AI researchers worked in industry by 2019, up from 48% in 2001.
$1.5 millionextra annual earnings of top 1% publishing industry AI scientists over comparable academics, a fivefold increase since 2001