Welcome to the DailyAI Briefing, the day’s five biggest AI stories. Anthropic has put a price range on its stock market debut, and at the top it would raise more than $64 billion. New York gave the biggest AI labs until 1 January to register with the state, a small team used AI to prove key security properties of the code behind Signal in four weeks, ChatGPT opened its doors to sales chatbots run by businesses, and a new study shows freelance writing losing ground on Upwork.
Let’s dig in.
Anthropic’s IPO could raise $64bn
$64.35 billion. That is how much Anthropic would raise if it sells 825 million shares at $78, the top of a $70 to $78 range, before it pays the banks. The company set out the terms in a short announcement on 10 November. The shares will trade on the Nasdaq under the symbol ANT.
Anthropic has launched the roadshow for its proposed initial public offering:
— Anthropic November 10, 2026
The updated prospectus has the most useful numbers. Revenue in the first nine months of 2026 was $33.24 billion, against $2.55 billion a year earlier. The operating loss shrank to $1.26 billion from $5.22 billion. The net loss of $104.0 billion looks alarming, but $94.3 billion of it is an accounting charge on convertible notes, not money the company spent. The full filing is on the website of the American securities regulator. CNBC reports that pricing is due on 18 November and trading on 19 November, with about 20% of the shares set aside for ordinary investors. We went through the numbers in detail. The banks will pitch sales that grew about 13 times in a year. The final price will show how much investors believe in that growth.
New York gives big AI labs until 1 January to register
72 hours. From 1 January, that is how long the largest AI developers will have to report a serious safety incident to New York’s financial regulator under the RAISE Act. The governor’s office opened the registration portal on 10 November. The law covers companies with more than $500 million in yearly revenue that train models using more than 10^26 computing operations.
AI companies can’t be left to police themselves.
— Governor Kathy Hochul (@GovKathyHochul) November 10, 2026
Each covered lab must publish a safety plan, send the regulator a summary of catastrophic risks every three months and publish a transparency report with each major model release. Fines reach up to $1 million for a first violation and $3 million after that, according to reporting on the law. The state is also funding a testing centre at Binghamton University with more than 80 researchers. Our article lists every duty in the law. For now, the 72-hour reporting rule is the strongest part of the law.
AI wrote proofs for Signal’s code in four weeks
Four weeks and five people. That is what it took a Google DeepMind team, working with AI systems that wrote proofs in Lean, to check key security properties of libsignal, the library behind Signal’s encryption. The proofs run to about 6.5 million lines and cover the compiled machine code, not a tidy rewrite. The research post explains the method and its limits.
For the first time, AI has mathematically proven @signalapp’s protocol is secure down to the code level.
— Google DeepMind November 11, 2026
The fine print matters. The work covers one-to-one sessions only, so group chats, the server and the sealed sender feature are left for later, and the cryptographic building blocks are assumed rather than proved. Humans still chose what to prove and signed off the specification. As a test, the team put back two old bugs and showed that the security theorem then fails. We explained what was proved and what was not. The seL4 kernel took about twenty person-years to verify, so this is a big change in speed. Even so, the claim on social media goes further than the research paper does.
ChatGPT lets businesses add sales chatbots
1.2 billion weekly users. That is the audience OpenAI is offering businesses with a new beta that lets online shops in America add their own chatbot to ChatGPT. The launch post describes the new business profiles. Users can open the chatbot with one click from a ChatGPT answer, and brands can also pay to promote the same chatbot as an ad.
OpenAI has done some things well. Businesses do not see users’ chats, ads run on a separate system and appear only for free and Go users. The weak spot is the chatbot itself. It is built from instructions and a product feed that the seller supplies, and the only sign that it speaks for the seller is a label. We argued that these chatbots should say who they work for. A clear written statement at the start of every chat would cost OpenAI very little.
Freelance writing loses ground on Upwork
About 31%. That is how far the share of Upwork job posts asking for content writing fell between the first half of 2025 and the first half of 2026, according to a joint report by OpenAI and Upwork. Writing made up 14.5% of sampled ChatGPT conversations but only 1.3% of the job posts. The full report sets out the method and the caveats.
Video and animation went the other way, with 10.0% of job posts and just 1.0% of conversations. Jobs that involved AI also carried fixed budgets about 52% higher. The study compares percentages, not totals. It does not prove cause, and both companies have a stake in the result. Our report covers the other findings. Writers who rely on simple briefs should take note.
Signing off
Wednesday was about money and proof. Anthropic opened its accounts to the public, New York started a clock on AI incidents, and Google DeepMind showed how fast machine-checked mathematical proofs can now arrive. Meanwhile, chatbots are moving into shopping and into the work freelancers used to do.
See you tomorrow.
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