Deals, economics, and the business of AI.
The Series D values Mistral at €21 billion, the largest equity round in European tech history. Samsung led it, with ASML and Nvidia among the backers. The pitch is an open-weight 'complete stack' that doesn't lock Europe into anyone else's roadmap.
Domestic chips are set to take the lion's share of China's AI-server chip market this year. Yet the country's most advanced models are still trained on Nvidia — and the reason is software, not silicon.
The company that makes the chips everyone trains on is acquiring the neutral hub where 18 million developers share their models. Nvidia's first promise: you won't have to use its chips.
In what looks like the first US government intervention in the AI copyright wars, the DOJ urged a Manhattan judge to treat training models on copyrighted work as fair use — in a consolidated case covering the NYT and a dozen other publishers and authors. It widens the gap with Britain's own unresolved fight.
Multiverse Computing, best known for shrinking other companies' models, has released Quasar 438B — and independent evaluator Artificial Analysis scores it the strongest European model, ahead of Mistral and within a point of Claude Opus 5 on long-context reasoning.
The malware isn't on Anthropic's servers — it's on users' own PCs, copying the login cookie that keeps you signed in. That's enough to walk straight past two-factor authentication.
The WSJ and SCMP put the round at a roughly $74 billion valuation, with about a gigawatt of new computing capacity and a targeted 2027 Shanghai listing behind it. DeepSeek hasn't confirmed any of it.
The Minneapolis Fed finds AI's hunger for memory and chips has pushed hardware prices up 12.2% in a year — adding as much to core inflation as the entire tariff wave.
The 'Machine Age Fund' pours capital into chips, memory, data centres, cooling and power — the physical buildout a software-first VC once left to others, and that critics are already fighting over.
Claudeforce makes Claude the default reasoning engine across Salesforce. Marc Benioff's answer to the 'SaaSpocalypse': frontier models depend on CRM — they don't replace it.
A joint open letter from the AI labs and firms including Google, Microsoft, Cisco, CrowdStrike, Visa and Mastercard says AI-enabled attacks are about to scale, and names hospitals, water and the internet backbone as at risk.
TIME's fourth annual ranking of the most influential people in AI puts lab founders like Altman, Amodei and Murati alongside labour leaders, regulators, accountability researchers and Paris Hilton. The mix is the message.
When an AI agent acting on its own deletes records or authorises a bad payment, there's no hacker and no break-in — so the breach-triggered policies most firms rely on may not respond at all. Insurers are scrambling to price a risk they've never had to.
The Broadcom-built inference chip, 'Jalapeño', posts strong perf-per-watt numbers verified in person by SemiAnalysis — but they're OpenAI-supplied, not independent, and volume production is a 2027 story. It lands the day Nvidia reports earnings.
More than 200 jobs gone across Siri, Vision Pro and software teams, as Apple winds down its spatial-computing bet to reprioritise around AI and smart glasses.
The neutral hub where the open-model world publishes its work has hired a bank. Whoever buys it inherits more than a company — they inherit the commons.
Anthropic could file for a record-breaking IPO within days; OpenAI has filed too, though its CFO points to 2027. The frontier is about to get a public price — and open its books.
Hong Kong's biggest follow-on share sale on record — and every dollar of it earmarked for chips, data centres and models.
Another week, another price cut — flagship AI costs a fraction of what it did in 2023. Four forces are driving the collapse, and one paradox explains why your bill might still be going up.
In the first half of 2026, OpenAI and Anthropic raised $217 billion between them — 43% of all startup funding on Earth, in any sector. The H1 numbers show AI hasn't joined the venture market so much as swallowed it.
Fractile, a London startup, has no shipping silicon and a valuation that just 6x'd to $6.5 billion. What Anthropic is buying is a way around the 'memory wall' that makes serving AI so expensive — if it works in 2027.
At an all-hands this week, CFO Sarah Friar put a date on OpenAI's public debut and pointedly declined to race Anthropic to the market. The framing — an IPO as a milestone, not a finish line — says a lot about how OpenAI now thinks about money.
Mercor supplies the human expertise that AI labs use to train and grade their models. A reported new round would value it at $20 billion — double its price ten months ago — with Nvidia said to be weighing a stake in the company that feeds its own open models.
Anthropic told prospective investors its Q2 revenue topped $11.5 billion with positive adjusted operating income — the first of the current frontier LLM labs to show investors a profit line ahead of an IPO. The growth is real; the word 'adjusted' is doing a lot of work. What's actually new, and what a buyer should interrogate.
Kinney Drugs routed patients through an AI voice assistant called Burt. After hundreds of complaints about missed medications and wrong dosages, inbound calls are reverting to touch-tone — and what the chain kept says more than the retreat.
AMD has agreed to acquire Taalas, whose chips etch one AI model's weights straight into silicon. The efficiency numbers are eye-watering — and entirely the vendor's own. The real story is what you give up: flexibility.
The fast headline is misleading: Hassabis is being elevated to Chair of Google DeepMind and Chief Scientist of Alphabet, not pushed out. The real loss in Google's 5 August AI reshuffle is Jeff Dean, leaving after 27 years — while day-to-day DeepMind now reports straight to Sundar Pichai.
More of TIME's traffic is bots than humans, so it now hands AI crawlers a Markdown version of its site with a premium ad built in. The ads aren't banners — they're structured 'knowledge objects' designed to be ingested and repeated by a model as fact. That's the part to watch.
Apple has asked a court to freeze OpenAI and two ex-employees from touching its secrets, and says 11 more former staff 'may have been involved' — as possible witnesses, not accused thieves. OpenAI denies everything and put its messages online. Nothing is proven.
Nvidia is taking a stake in Ilya Sutskever's Safe Superintelligence and giving it ten times the compute — a lab that has shipped nothing and intends to ship nothing until it has built a 'safe superintelligence.' The reported figure is $5bn. The pattern is the real story.
South Korea's KOSPI fell about 11% on Tuesday — its worst day in months, circuit-breakers tripped — after reports that China has begun mass-producing the chipmaking tool export controls were meant to deny it. The development is real. Read closely, it is also modest, still part-Japanese, and years from threatening ASML.
Nvidia is in talks to backstop up to $250bn of debt so OpenAI can build a 10-gigawatt campus in Ohio — letting OpenAI borrow on the strength of Nvidia's credit, not its own. The scale is staggering; so is the circularity.
A startup's 9B open-source model, RL-tuned for about $500, undercut GPT-5.5, Gemini 3.1 Pro and Claude Opus 4.8 on a catalog-review task by 40x to 340x. The result is real — and, read honestly, it isn't about intelligence at all.
Nvidia, NAVER and Brookfield plan to more than triple Korea's national AI factory to 200 megawatts by 2028. Read the press release rather than the headlines and the sequencing is the story: Brookfield's $9 billion is a nonbinding term sheet, and Nvidia's $1 billion is explicitly conditional on NAVER first securing at least $9 billion of committed financing separate from it. NAVER's shares rose more than 8% anyway.
Sam Altman says AI has been net job-creating “so far at least”, and the walk-back is being reported as settled. But the Yale Budget Lab writes “not yet” twice in four takeaways, its April data reads toward automation rather than augmentation — and Anthropic’s CEO spent June proposing wage insurance and a universal basic income contingency.
DeepSeek has suspended its second funding round after remarks attributed to Liang Wenfeng went viral, Bloomberg reports — which says the pause stemmed only in part from that. The document behind it is a leaked, machine-transcribed record of a 20 May meeting whose own header warns that numbers may be misrecognised, and whose WeChat copies have since been deleted. Bloomberg has not verified the posts; DeepSeek has not confirmed the transcript.
A Nikkei analysis of five tech giants' footnotes finds roughly $1.65 trillion in off-balance-sheet obligations tied to AI infrastructure — more than the $1.35 trillion they report as formal debt. It's legal, disclosed, and GAAP-compliant, using the same special-purpose-vehicle mechanics that hid Enron's liabilities, minus the illegality. Oracle has already been downgraded over it. What the structures are, why they matter, and where the real risk sits.
AMD and Anthropic announced Wednesday that AMD will invest up to $5 billion in Anthropic — its first equity stake in the lab — staged against deployment milestones, while Anthropic commits to buying up to 2 gigawatts of AMD's coming Instinct MI450 Series chips, an order worth tens of billions. It's a 'circular deal,' the same shape Nvidia used with OpenAI: capital flows into the lab, far more flows back to the chipmaker. A second compute supply line for Anthropic, and AMD's clearest shot yet at Nvidia's grip on frontier training.
Amazon confirmed on Wednesday it has cut jobs in its artificial general intelligence group, redirecting toward customer-facing AI and a $1 billion push to embed AWS engineers with customers building agentic systems. It didn't disclose numbers. Read against a week in which the White House committed $5 billion to frontier AI-for-science, it's a contrarian strategy statement: Amazon betting the returns have moved from building smarter models to deploying the ones we already have.
Weeks after its ~$7.4bn June round, DeepSeek is preparing to raise as much as 50 billion yuan at a ~$74 billion valuation and has begun early work toward an IPO on Shanghai's STAR Market. The company that made frontier AI cheap is now raising like a frontier lab — and doing it entirely onshore.
A Samsung Health consent notice read like an ultimatum — train our AI on your medical records or lose them. Samsung says the warning was misleading and opting out deletes nothing you rely on. The panic was an overreaction; the pattern that caused it isn't going away.
Google's beloved research tool gets a code-running 'secure cloud computer' and cross-app sync — but the real story is the brand consolidation, the same week the rumour mill has Gemini 3.5 Pro finally arriving. The model link is our reading; Google's post names no model.
The EU's General Court upheld a refusal to register 'OPENAI' as a trademark, ruling the name merely describes 'openly accessible AI.' It's the latest time the descriptiveness rule has caught the company — after the US refused 'GPT' in 2024.
The viral $23bn figure is real, computed by PJM's independent market monitor — and six months old, narrower than the headline, and an order-of-magnitude estimate. The actual news came the same day, quietly: a third straight capacity auction at the price cap.
Standard-form exclusions for generative AI went live in US business liability policies in January. Now the organisation that writes those standard forms says it is looking at agentic AI too. For companies deploying AI, the quiet story of 2026 is that the ordinary insurance safety net is being cut away — just as a new, specialised market moves in to sell it back.
Moonshot AI's Kimi K2.7 Code is now generally available in Copilot's model picker — hosted by GitHub on Azure, so your code need never touch Moonshot's servers. In the week of the Fable 5 compact, the open-weight lane keeps flowing through the export-control chess match.
While the US gated GPT-5.6, DeepSeek open-sourced a technique that speeds up serving its models 60–85% per user — over its own prior method, in its own system. The number needs a footnote; the strategy is the story.
Two AI-and-jobs headlines this week looked like opposites — one firm shedding people because of AI, another rehiring them because of it. Read together, they're the clearest map yet of what AI is actually doing to work.
Built with Broadcom and designed in a claimed-record nine months, the inference chip is OpenAI's move to own the hardware under its models — and ease its dependence on Nvidia. The performance numbers, for now, are OpenAI's own.
In a regulated filing, Oracle said AI is reducing its workforce — rare corporate candour. But the figure is a full year's cumulative cuts, the language is a risk disclosure, and AI is doing the cutting two ways at once.
Insilico Medicine and SK Biopharmaceuticals just announced an 'up to $2.5bn' AI drug-discovery deal. The real upfront sum is about $18m. Here's the genuine science, and how to read the billion-dollar headlines that follow these deals.
Zhipu doesn't charge for its GLM models — yet the market briefly valued it above $128bn. How an open-weight lab actually makes money, why it gives the models away, and what that trillion-HKD number is really pricing.
In sixteen days in May, CME, the New York Stock Exchange's owner, and a third challenger all moved to launch futures markets for renting GPUs. Here's what compute futures are, the three rival bets, and the serious case that it won't work.
John Jumper — who led AlphaFold and shared the 2024 Nobel Prize in Chemistry — is leaving Google DeepMind after ~9 years to join Anthropic, announced via his own X post and confirmed by Bloomberg and Reuters.
Noam Shazeer — co-author of the 2017 transformer paper and a co-lead of Google's Gemini — is leaving Google to join OpenAI, announced this week.
Per the FT, Cambridge startup CuspAI is reportedly raising ~$400m at a ~$2.6bn valuation, backed by Bezos Expeditions and Kleiner Perkins — but term sheets are only signed, the deal hasn't closed.
SpaceX (Nasdaq: SPCX) signed a merger agreement on 16 June 2026 to acquire Anysphere, the maker of the AI code editor Cursor, for $60 billion in an all-stock deal — disclosed the same day in an SEC filing.
PwC's 2026 Global AI Jobs Barometer (1bn+ job ads, 27 countries): AI skills now carry a 62% average wage premium (up from 57%), and AI-skill jobs are growing ~69% a year vs 9% for the market overall.
KPMG pulled its report "Redefining excellence in the age of agentic AI" (published Oct 2025) after named organisations said its claims about their AI use were untrue — GPTZero traced the errors to AI hallucinations.
According to The Information, Amazon CEO Andy Jassy was among the tech leaders who raised concerns to senior Trump administration officials about security risks in Anthropic's most advanced model before the US ordered it disabled.
Jeff Bezos's AI startup Prometheus raised $12bn in June 2026 at a $41bn valuation — extraordinary for a company that only launched in November 2025 with $6.2bn.
In a 12 June internal memo (first reported by Reuters/Bloomberg), Zuckerberg admitted: 'we've made mistakes and will almost certainly make more' in Meta's AI restructuring.
OpenAI is acquiring Ona — formerly the cloud-dev-environment maker Gitpod — to give Codex a secure place to run long, autonomous tasks. Terms undisclosed; subject to regulatory approval.
Apollo Global Management and Blackstone have assembled a roughly $36 billion private credit deal — reportedly the largest on record — to finance Anthropic's compute build-out, coming together this week (early June 2026).
OpenAI and Oracle announced (late 10 June) that Oracle Cloud Infrastructure (OCI) customers will be able to apply their eligible Oracle Universal Credits toward OpenAI's frontier models and Codex.
Visa and OpenAI announced a partnership (10 June, at the Visa Payments Forum) letting AI agents in ChatGPT make real purchases on a user's behalf using tokenized Visa credentials.
TensorWave raised a $350M Series B at a $1.55B valuation, led by AMD and hedge fund Magnetar Capital — nearly 4x its ~$400M valuation a year ago.
Per a report from The Information, OpenAI is in advanced talks to lease a proposed 10-gigawatt data-centre campus on federal (Department of Energy) land in southern Ohio.
Reliance Industries and Meta announced (10 June) a 168MW AI-enabled data centre in Jamnagar, Gujarat, to be delivered within ~2 years with an option to scale.
PhysicsX closed an oversubscribed $300M Series C at roughly a $2.4B valuation, led by Temasek — more than double its valuation from under a year ago.
PointFive raised a $60M Series B led by Accel (with Index Ventures, Salesforce Ventures and others) at a ~$500M valuation — $96M raised to date.
China is drafting a five-year blueprint to spend ~2 trillion yuan (~$295bn) on a network of interconnected national AI computing hubs, led by the National Development and Reform Commission.
OpenAI confirmed on 8 June it has confidentially filed a draft registration (an S-1) with the SEC — the standard first step toward a public listing.
DeepSeek is closing its first-ever external raise — ~50bn yuan (~$7.4bn) — at a $52–59bn valuation, reportedly within weeks.
Flourish raised $500m at a $2.5bn valuation; Jeff Bezos put in ~$100m, alongside Alphabet's GV, Lux Capital and Catalio.
Moonshot AI — maker of the Kimi chatbot — is in early talks to raise up to ~$2bn at a ~$30bn valuation.
Buy the model, build the workflow: foundation models are now a commodity input, but the orchestration, data plumbing, and evals around them are where durable advantage lives.
Hourly AI implementation work is a commodity race to the bottom; margins compress as the tooling that makes you fast also makes you replaceable.
Time-saved estimates are the weakest form of AI ROI — they're easy to inflate and rarely convert to cash unless headcount or capacity actually changes.
AI-ops is emerging as a distinct discipline: the continuous work of monitoring, evaluating, securing and updating AI systems after they ship.
The demo-to-production gap is mostly organisational, not technical: ownership, integration, and accountability gaps kill more pilots than model quality does.
AI pricing is climbing a ladder: raw token/compute pricing at the bottom, per-seat and usage in the middle, outcome-based pricing at the top.
Open-weight models have closed enough of the capability gap that the choice is now about control, cost-at-scale, and data residency — not raw quality alone.
