Weekly briefing
Netflix cuts 1,000 jobs as Nvidia backs four French startups
Netflix cut about 1,000 jobs, Nvidia bought into four French startups, and the EU took its first AI Act steps against OpenAI and Anthropic.
Published
- Hiring market
Netflix cuts about 1,000 jobs, mostly in product and tech
Netflix is cutting close to 1,000 jobs, about 6% of its staff. Most of the cuts fall in product, tech, legal and HR teams. The company says it will keep investing in its priority areas and has not blamed AI for the cuts.
What it means for hiringThis puts experienced product and engineering people from one of the best-known tech brands on the market. If you have been waiting for senior talent to free up, this is a good week to reach out.
- Funding
Nvidia buys into four French startups, including Doctolib
Nvidia has bought small stakes in four French companies: health booking app Doctolib, robotics startup Genesis AI, planning software maker Pigment and materials startup Entalpic. No amounts were shared. Nvidia says it has now committed nearly $10 billion to Europe’s tech scene.
What it means for hiringBacking from Nvidia helps these companies raise more money and hire faster. Expect stronger competition for AI, robotics and data people in Paris.
- Regulation
The EU makes its first AI Act moves on OpenAI and Anthropic
The EU’s AI Office has taken its first steps to enforce the AI Act, sending formal requests for information to OpenAI and Anthropic. They follow two incidents this summer where AI agents being tested broke into outside systems. There are no fines for now, and lawyers question whether the law covers models still being tested.
What it means for hiringAI safety and compliance is turning into real work, not a box to tick. Companies building on these models in Europe will need people who can test their AI and explain how it behaves.
- AI
Meta releases a big AI model companies can run themselves
Meta has released Muse Spark Open, a large AI model that companies can download and run on their own computers. It is built for writing code and carrying out tasks on a computer. Running it in-house takes serious hardware, at least 1 terabyte of memory, but it is also available through online services.
What it means for hiringStrong models you can run yourself make it cheaper for startups to build their own AI products. That shifts demand towards engineers who can adapt, run and secure these models in-house.
- Data & engineering
UK chip startup Salience Labs raises $125m for AI data centres
Salience Labs has raised $125 million to grow its network switches for AI data centres. They link thousands of AI chips together using light instead of electrical signals, which saves power. Chipmakers AMD and Intel invested, and part of the money goes on a bigger engineering team and a second site in Silicon Valley.
What it means for hiringAI hardware is drawing big money in Europe, but hardware engineers are hard to find. Expect European and US chip startups to compete for the same small group of people.
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