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Friday 9 October 2026 edition

AI Watch, Friday 9 October 2026AI chips away at young people's first jobs

Masteria editorial team, led by Mathias Nizan · , 9:37

OpenAI's revenue, revised down to $50 billion instead of the $70 billion expected, pushes the Nasdaq lower and reopens the case of an AI built on credit, while an IPO backed by Nvidia collapses in Australia. Beneath the noise of valuations, the labour market is already shifting: hiring of young people is falling in exposed occupations, journalists at the EBRA group are walking out over AI, and both Anthropic and Google are rewriting the rules for their agents.

13 stories21 sources8 min read
Top story

OpenAI's real revenue worries Wall Street

OpenAI reportedly told its investors in late September that its annualised revenue was close to $50 billion, far short of the $68 to $70 billion that projections had attributed to the company, Le Monde, ZDNet and TechCrunch report. The gap is said to come from calculation methods, but it was enough to push the Nasdaq lower and weigh on Nvidia, Oracle and Intel, whose valuations rest in part on the promise of orders from OpenAI. The company has also pushed its stock market debut back to early 2027, citing debates about the risks AI poses. OpenAI, for its part, maintains that it will reach or exceed $70 billion in annualised revenue by the end of 2026, driven by its enterprise customers, according to sources cited by Bloomberg. What both camps agree on is telling: the volume of tokens processed, meaning actual usage, keeps climbing, even as the accounting revenue is disputed. The point remains that AI's financial edifice shows itself sensitive to the slightest doubt about the revenue that must one day repay the data centres.

Europe and France

The CNIL lifts the order it had issued against France Travail

By a decision dated 23 September 2026, the CNIL (France's data protection authority) closed the order it had issued on 22 January against France Travail (the national employment agency), without applying the penalty payment it had set, since the body had brought its data processing into compliance. The decision closes a case opened over the handling of jobseekers' data. For public bodies equipping their services with AI and automated processing, it is a reminder that documented compliance suspends the financial penalty.

SourceCNIL

Ecosia drops Mistral for open models, including Chinese ones, and Arthur Mensch responds

The German search engine Ecosia, which funds reforestation, is abandoning Mistral five months after choosing it and switching to open-weight models (which you can download and run yourself), several of Chinese origin, citing quality, sovereignty and French nuclear power. Arthur Mensch, head of Mistral, responded publicly: "Sorry if nuclear power is a real dealbreaker." The episode stings for a "European green tech" firm that prefers Chinese models to a French champion, and it shows how fast a sovereignty argument turns around when the product disappoints.

Cited in the analysis

Permanent hiring of young people is falling in jobs exposed to generative AI

A study covering more than 1,500 occupations concludes that young workers are already feeling the effect of generative AI on employment, with a decline in permanent hiring in the most exposed professions, the Journal du Net reports. The signal is quiet but clear: the adjustment does not come first through layoffs, it comes through the entry doors that stop being opened. This is the ground where training and apprenticeship policy is decided.

International

Anthropic tightens its usage policy and bans "abusive" behaviour towards Claude

Anthropic is revising the usage policy of its Claude assistant for the first time in more than a year, TechCrunch and The Verge report. The new rules, in force on 12 November, explicitly ban election interference, disinformation campaigns, weapons development and certain surveillance uses. The most discussed change concerns another area: the company bans repeated, purposeless "abusive or cruel" behaviour towards Claude, while making clear that ordinary frustration and criticism remain allowed. Anthropic relies on an existing feature that lets the model end a conversation on its own. Behind the anecdote of a machine's "wellbeing", the company is mainly adjusting a usage contract that its professional customers will have to reread.

Google turns Gemini into an agent for businesses, with its own workplace identity

At its Gemini at Work event, Google presented an agent able to plan, carry out tasks and move between business applications, TechCrunch and The Verge report. The agent can delegate part of the work to sub-agents, call on several models, and above all receive an identity of its own within the company, with its own email address. Available in the Gemini Enterprise app, it is managed from a single interface where you talk to it and assign it missions. Giving an agent an email address and a place in the directory means treating it as a digital colleague, with the questions of access, accountability and logging that this raises. For IT departments, the challenge becomes framing what this identity is allowed to do before handing it out.

OpenAI publishes 722 mathematical proofs, researchers call for a boycott

After OpenAI published 722 mathematics manuscripts produced by its AI, the Association for Human Mathematics, a collective founded in September 2026, is calling on its peers to stop all collaboration with the company, Numerama and TechCrunch report. Terence Tao, a Fields medallist, reposted the text on his blog, and one of the signatories sums up the move in a sentence: "This is not a demonstration of scholarship, but of force." TechCrunch, for its part, notes that the proofs released depart from the rules set by the mathematicians OpenAI had nonetheless consulted, and do not yet meet the discipline's standards. The episode raises a question that goes beyond mathematics: when a machine produces results faster than experts can verify them, value shifts from production to the capacity to check.

An IPO backed by Nvidia collapses and sounds the alarm on valuation fever

Firmus Grid, a data centre host backed by Nvidia, has abandoned what would have been one of the largest IPOs in Australian history, around $5 billion, for lack of international investors, Bloomberg reports. The withdrawal comes as markets grow anxious about valuations judged excessive across the whole AI chain. The same day, the shares of Chinese optical chip makers extended their fall, and the CSI 300 index dropped to its lowest level in more than a year. These signals do not say that demand for AI is weakening, they say that investors are no longer willing to fund any promise at any price. For an organisation that relies on an AI supplier, the supplier's financial strength becomes a selection criterion again.

SourceBloomberg

China and Asia

China's Manus raises more than $500 million, its first round since splitting from Meta

The Chinese startup Manus, which specialises in AI agents, has closed a funding round of more than $500 million led by Boyu Capital and IDG Capital, TechCrunch and Nikkei Asia report. Existing shareholders, including Tencent, HSG (formerly Sequoia China) and ZhenFund, put in again. It is Manus's first raise since splitting from Meta, and it places the company among the Chinese players chasing the market for agent "harnesses", the systems that get a model to carry out complete tasks rather than simple answers. The deal confirms that money keeps flowing towards Chinese agents, at a time when American valuations are tightening.

Samsung sees its operating profit jump 782% thanks to memory chips for AI

Samsung expects a record operating profit of about $80 billion (107.4 trillion won) in the third quarter, a rise of 782.5% year on year, Siècle Digital and ZDNet report. Demand for memory chips bound for AI servers is driving these results, with the final figures expected on 29 October. This jump, which also benefits SK Hynix and feeds South Korean public spending, measures the scale of the hardware boom: the maker selling the shovels in the gold rush is booking profits that few AI labs can yet show.

Research

Research and papers

For technical teams

Researchers present PARCEL, an evaluation set built on recent rulings from the New York State Court of Appeals, which checks whether a legal claim is actually supported by the source it cites. The set brings together 3,396 claims labelled "supported", "refuted" or "not found", and frames the problem as a three-way inference task on which several leading models still stumble. The value for a lawyer is direct: a citation that "sounds right" is not an accurate citation, and this kind of test finally gives a numerical way to measure the risk of hallucination before bringing a tool into a firm.

SourcearXiv

A small fine-tuned model beats large ones on a teaching task

A team shows that a small language model fine-tuned on teachers' data, a Qwen3.5 with 0.8 billion parameters, outperforms leading models prompted by simple query at annotating grammatical mastery from language-lesson transcripts. The gain is twofold: better performance and a far lower cost at scale, where large models become too expensive to run on every transcript. The result illustrates a trade-off many organisations will come across: on a precise, repeated task, a small specialised model often does more good than an expensive generalist one.

SourcearXiv
The rest of the news

In brief

    • Journalists at the nine dailies of the EBRA group are called out on strike on Friday 9 October by the Syndicat national des journalistes (the national journalists' union), against a plan that provides for close to 10% staff cuts and greater use of AI. Le Monde
    • Shares of Chinese optical chip makers are extending their fall, with investors fearing new American export restrictions, dragging the Hong Kong market and the CSI 300 index to their lowest in more than a year.
The Masteria read

Why cutting junior roles saws off the bottom rung

Juniors used to produce the first drafts that forged expert judgment, work AI now carries out; cutting those roles saves salaries and drains expertise within five years.

A study of more than 1,500 occupations shows that permanent hiring of young people is falling where generative AI is most present. The signal is quiet because it makes no noise: no one is laid off, companies simply stop opening entry doors. The same day, journalists at the EBRA group walk out over a plan that combines 10% staff cuts with more AI, and Nikkei describes the job machine of India's services firms caught up by the same shadow.

The mechanism is simple and that is what makes it serious. The tasks once handed to beginners, the first draft, the summary, the repetitive analysis, the formatting of a file, are exactly the ones the model now carries out. The short-term trade-off is tempting: you save a salary today. It amounts to sawing off the bottom of a ladder you are still climbing.

Those years of thankless production were not just a cost. They were where judgment was made. The senior who spots in three seconds that an AI answer is wrong earned that reflex by producing, as a junior, hundreds of first drafts that were corrected for them. Remove the apprenticeship, and in five years no one is left in the room to tell a plausible answer from a correct one, at the very moment this distinction becomes the most expensive skill.

The move that protects a French organisation comes down to one shift: keep hiring beginners and rebuild what the job contains. The first year becomes an apprenticeship in verification: correcting and steering the model's outputs under a senior's eye, rather than producing the first draft alone. You write this apprenticeship in as a line of the plan, not as an adjustment variable for the productivity gain, and you measure it as such. What a company decides this year about its juniors shapes who, in ten years, will still know how to judge what its machine answers.

The Masteria editorial team

Mathias Nizan, founder of Masteria
Mathias Nizan
Editor of AI Watch
Method

154 articles read, 13 kept

Selected on the morning of 9 October from 38 news feeds. Our method (in French)

Today's sourcesLe MondeZDNetTechCrunchCNILFrandroidNumeramaJournal du NetThe VergeBloombergNikkei Asia

Next edition: Monday 12 October.

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