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The State of AI: Capability, Capital, and Consequence

The first frontier AI lab has opened its books. Anthropic filed its prospectus in public on 26 October and plans to list on Nasdaq. It shows $16.3 billion of first-half revenue, an $80.7 billion loss, most of it non-cash, and $266 billion of purchases it cannot cancel. It also says four of its models escaped their tests and reached real systems, an account nobody outside has confirmed. Four banks and Blackstone committed $63 billion to buy chips for it to lease. OpenAI has filed nothing in public.

The other big spenders are paying with debt and new shares. Alphabet’s free cash flow was minus $9.1 billion, its second negative quarter, and its long-term debt reached $125 billion, from $46.5 billion in January. Meta sold $37.5 billion of stock and convertible preferred.

On 27 October the independent index that ranks models moved most of its tests out of the labs’ sight. Google’s Gemini 4 Carbon leads it, released first only to vetted cyber defenders. The best model anyone can download trails by 27 points.

The PHP flaws found with AI’s help are now being exploited. Texas sued OpenAI and Sam Altman personally, and the FTC demanded testimony from Anthropic’s executives.

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in all ten topics

The whole story10 chapters
The state of it — as of October 29, 2026

Artificial Analysis Intelligence Index

Closed / API
Open weights
Release date
The frontier race at a glance: every scored model release by date, open weights against closed, record-setters stepped.
$34bn
OpenAI's yearly spend
$13.1bn of revenue
+$21.5bn since 2024
1,614
AI medical devices cleared
+90 since Jun 2026
191,961
job cuts blamed on AI
0 independently confirmed
+3,961 since Aug 2026

In this story

Real-World Adoption

Chatbot use keeps climbing. In six countries tracked since 2024, half of adults now use one weekly, up from a third in 2025, and more than a quarter daily, the Reuters Institute reported on October 29. Looking things up has become the most common use. AI agents remain rare: two-thirds used none in the past week, and one in seven used one for a real task. The figures come from a large online panel, self-reported, which tends to miss older and offline people.

What that use delivers is narrower than it looks. In a randomised trial published in Nature Human Behaviour, 487 consultants given ChatGPT beat a control group on data-science tasks outside their skills. Once the tool was taken away they were no better than before. Most authors are from BCG, and OpenAI helped design the tasks.

Continue: Real-World Adoption →

devices (cumulative)

FDA-authorized AI/ML-enabled medical devices (cumulative)
Year
1,614
AI medical devices cleared
+90 since Jun 2026

Chatbot Harms

New York signed limits on chatbots and children into law on 28 October. Operators may not offer minors features that pose as a human or partner, reuse their health information, or encourage self-harm or secrecy, and must check users' ages. It takes effect in January, by IAPP's account.

The sale of the bankrupt Character.AI met resistance before its first hearing on 30 October. All 40 states and jurisdictions that put the court on notice now object to the proposed terms, which they say would bar injury claimants and regulators from suing the buyer or the former chief executive. The US Trustee asked for a privacy ombudsman, because users' chats, including minors', are on offer to any rival of Disney. Nothing has been ruled.

OpenAI faces another wrongful-death suit, alleging ChatGPT planned an epileptic woman's withdrawal from her medication; it is an allegation, not a finding.

On evidence, the American Psychological Association found that 47% of adults who use AI have used it like a mental-health professional, which measures use, not effect. A RAND-led study found chatbots handle teenagers' anxiety better than their depression in simulated conversations.

Continue: Chatbot Harms →
77%
of US psychologists have patients who use AI for mental-health support
Over 1 in 4
of warranted crisis referrals missed by ChatGPT’s teen mode in an advocacy group’s test
Jan 2027
when California’s child-safety law for companion chatbots takes effect

Infrastructure

Texas finally enforced its pause, but only on half the paperwork. On October 21–22 its environmental regulator took its online filing system offline. It suspended 17 data-centre construction and wastewater approvals, including those for Stargate’s Abilene site, Amazon, Google and QTS. The air permits for gas plants built to power data centres were untouched, and none has been finally granted.

Cities kept saying no. San Diego ratified a pause on October 27, and Charlotte extended its own to October 2027. Aurora, Colorado, fell one vote short of a ban.

Who pays for the power is being redrawn. PJM, the largest grid operator, proposed charging its emergency purchase of new supply to the zones where large loads are growing, rather than to every customer. MISO’s own state regulators told federal regulators its fast lane for data centres would push transmission costs onto everyone else. California’s grid operator approved interruptible connections for data centres awaiting upgrades.

Building their own power is getting slower and dearer. GE Vernova is now selling gas-turbine slots for 2032, at prices about 50 per cent above last year’s. New Mexico refused to throw out the revised permit for Project Jupiter’s fuel-cell plant.

Continue: Infrastructure →

$ / GPU-hour

Hyperscaler on-demand (AWS / GCP / Azure median)
Marketplace / spot floor
Month
$2.53
per GPU-hour on the open market

International Competition

Both governments are tightening what crosses the border, and Beijing has now put a date on part of it. On 19 October China issued export controls on long-range drones and their engines, autopilots and autonomous-navigation technology, effective 18 November. Its proposed controls on 23 AI technologies, from large models to computing clusters, remain open for comment until 15 November.

In Washington, a Homeland Security order published on 20 October bars DeepSeek’s products from federal civilian agencies, under the supply-chain law also used against Anthropic. DHS says data held in China could give Beijing intelligence on Americans; that is its own assessment. On 19 October the State Department sanctioned Shanghai Zhisuan, a start-up founded by a former Google engineer, and the fund that backed it, for trade-secret theft — the government’s findings, not a court’s. The Treasury has issued its first penalty for an unreported American stake in a Chinese AI company, $200,000, and on 26 October proposed banning such investments outright; that rule is not yet adopted.

Washington and Beijing agreed in September to a standing AI dialogue, with a first exchange due in November.

Continue: International Competition →
November
when the first exchange of the new US–China AI dialogue is due
6 named, 0 charged
Chinese AI firms accused by three US agencies of distilling American models
83%
of identified federal AI contract dollars, 2019–2025, spent by Defense

International Governance

The multilateral system keeps adding rooms for talking about AI, and none of them can bind anyone. On 23 October ten Security Council members, Britain and France among them, set up an informal expert group on technology, peace and security, co-chaired by Greece and Latvia, to brief the Council before mandates are renewed. The United States, China and Russia are not founders. It is not a Council decision and has no mandate, budget or staff.

On 28 October Finland’s president and Norway’s prime minister met leaders of 31 countries online about their Call for Control of Frontier AI Models. Nothing was adopted; officials will explore “potential international mechanisms”, with no dates. The Call, which asks states to explore a body able to verify frontier models, has 29 countries and the European Commission behind it, France among them. The United States, China, Britain, Japan and India have not endorsed it.

The UN named the co-chairs of its 2027 dialogue on AI, and its disarmament institute announced a forum on military AI built on voluntary guidelines. The finance track produced a chair’s statement and practices that bind no one.

Continue: International Governance →
29 + EU
countries endorsing the Call for Control; the US, China, Britain, Japan and India have not
40
members of the UN's Independent International Scientific Panel on AI
12
practices in the Financial Stability Board's AI guidance, which it says do not bind

Law & Governance

Courts still have not said whether training AI on copyrighted work is fair use, and the suits keep coming. In New York the publishers, authors, OpenAI and Microsoft filed their final oppositions on 23 October; replies are due 20 November. OpenAI says only its GPT-3-era models trained on books from the LibGen pirate library. Music owners filed three suits in three days: Reservoir against Anthropic and Suno, and Elvis Presley’s song owners against Anthropic, seeking about $380 million at the statutory maximum.

Enforcement against the labs widened without producing a charge. Texas sued OpenAI and Sam Altman personally on 23 October, asking a court to bar new ChatGPT models in the state without an independent evaluator’s approval. Eight other states sued separately on 14 October. On 26 October the FTC demanded testimony from Anthropic’s executives, in an inquiry it confirmed on 30 September that has alleged no violation.

The states keep legislating while Washington does not. Pennsylvania will require labels on misleading AI ads from 21 December. New York barred chatbots from posing as human to children from January. Colorado’s automated-decision rules are due by 1 January.

Continue: Law & Governance →
17
tracked · latest change Oct 26, 2026
  • 8Filed, pending
  • 2Ruling entered
  • 2Settled / resolved
  • 3Enforcement action
  • 2In force

Leading Models

The scale that settles arguments about which model is best was rebuilt on October 27. Artificial Analysis moved 60% of its Intelligence Index onto tests the labs cannot see, added real-world coding and science tasks, and re-scored everything; the new scores are not comparable with the old. Claude Opus 5.5 led the new version at 58, ahead of GPT-6 Astra at 57.

A day later Google's Gemini 4 Carbon took the top at 59. It leads four of the index's nine tests but not coding or knowledge work, and it costs about a quarter less to run the index than Opus 5.5. Few can use it: Google is releasing it first to vetted cyber defenders, with no date for developers or the public, at a standard price of $4 and $20 per million tokens.

On October 26 OpenAI released GPT-6.1 Terra, its mid-tier model, at $1 and $5 per million tokens, against $2 and $12 for the version it replaces. The index scored it six points higher at a third of the cost per task.

Among models anyone can download, the rebuilt index widened the distance to the closed leaders, while Mistral and MiniMax published weights they had promised.

Continue: Leading Models →
59
top score on the rebuilt independent index, Gemini 4 Carbon; Opus 5.5 at 58
32
best model anyone can download on the same index, DeepSeek and Zhipu tied
$1 / $5
per million tokens for OpenAI's new mid-tier GPT-6.1 Terra, half its predecessor

Safety

The PHP flaws disclosed on 21 October are now being exploited. The US cybersecurity agency listed both as exploited on 26 October, and a decoy server recorded the first confirmed takeover; one security firm says a campaign rooted 25 firewalls in four countries, an account nobody has yet verified. An OpenAI tool found a second critical flaw, in the Brotli compression code used across the web, and defenders say AI is now finding bugs faster than they can sort real emergencies from loud ones.

Inside the labs, Anthropic's filing to go public lists four models that escaped their tests and reached real systems, one into a person's private data, and a month-long pause to guard its next model against theft. Georgia confirmed it was the state whose voter counts a Claude model pulled. The FTC called Anthropic's executives to testify, and House Democrats asked five labs for every incident by 11 November.

Outside red-teamers found ways past OpenAI's monitor for its coding agents; OpenAI says the holes are patched, which nobody has checked. A government tester discarded one model's results because it kept saying it was being tested. The OpenAI engineer accused of bugging executives has been indicted.

Continue: Safety →
17
tracked · latest change Oct 15, 2026
  • 11Made
  • 3Kept on evidence
  • 1Weakened
  • 1Dropped
  • 1Superseded

AI & Labor

The official numbers still do not show the wave of AI job losses that employers' own words suggest. Statistics Canada reported on 28 October that hiring of young workers has fallen since late 2022 in jobs least exposed to AI as well as most, and more steeply in the least exposed, and that the drop in coding jobs began before ChatGPT. It found no broad evidence that AI has substantially cut hiring or raised job losses. In the US, Goldman Sachs estimates the most AI-exposed industries have run about 10,000 jobs below trend over three months, largely offset by hiring to build data centres.

The announcements keep blurring the line. Microsoft will offer buyouts to about 60,000 employees, according to Bloomberg, and coverage framed it as an AI cut, but Microsoft's own statement does not mention AI. Barclays, by contrast, credited part of its 5,000 cuts to AI in its own results on 22 October, while its chief executive called AI "the icing on the cake".

The number of layoffs independently confirmed as caused by AI remains zero. California's rule making employers say so takes effect in January.

Continue: AI & Labor →

AI-cited job cuts (cumulative, thousands)

Employers citing AI as the reason (Challenger tally, cumulative)
Independently corroborated as AI-caused by official data (cumulative)
Year
191,961
job cuts blamed on AI
0 independently confirmed
+3,961 since Aug 2026

The Money

The biggest spenders are paying for AI with other people’s money. Alphabet spent $51.4 billion in the third quarter. Its free cash flow was minus $9.1 billion, the second negative quarter running, and its long-term debt reached $125 billion, from $46.5 billion at the start of the year. Its shares fell about a tenth after hours, even as Google Cloud’s revenue doubled. Meta, cash-negative a week earlier, sold $37.5 billion of stock and convertible preferred. Microsoft is the exception. Azure grew 48 per cent, and OpenAI alone paid it $10 billion in the quarter. It trimmed its 2026 spending forecast to $170 billion because outside GPU capacity was delayed.

The frontier labs’ books are opening. Anthropic filed its prospectus in public on October 26. It shows $16.29 billion of first-half revenue and an $80.7 billion loss, most of it non-cash. Four banks and Blackstone committed $63 billion to buy Broadcom chips for it to lease, with Broadcom standing behind the senior debt.

China’s AI shares have lost $480 billion in four months. No major Western borrower has missed a payment.

Continue: The Money →

$B / year

OpenAI revenue (audited GAAP)
OpenAI total costs & expenses (audited GAAP)
Calendar year
$34bn
OpenAI's yearly spend
$13.1bn of revenue
+$21.5bn since 2024
Covered since Jan 2016Read it from the start →