According to CNBC , the layoffs affect the AI ​​infrastructure teams, FAIR fundamental AI research and some related positions. The decision was made just a few months after Meta spent $ 14.3 billion to invest in Scale AI and appointed Alexandr Wang - the founder of this startup - as Chief AI Officer.

The TBD Labs team, which is home to a group of newly recruited top AI experts, is unaffected, an insider said, suggesting that Mark Zuckerberg is placing his trust in Wang’s new generation of staff while also scaling back the roles of the old team, which was said to be “bloated and overlapping.”

Affected employees will be laid off from November 21 and receive 16 weeks of benefits, plus two weeks for each year of service. In the meantime, they do not need to take any action and can spend time researching other positions at Meta, according to the internal memo.

After this, Superintelligence Labs - Meta's advanced AI development center - has only about 3,000 people left.

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Meta CEO Mark Zuckerberg at the company's headquarters in Menlo Park in September. Photo: NYT

Zuckerberg is said to be frustrated with the progress of the Llama 4 language model, as the product received lackluster feedback after its launch in April.

Bringing Alexandr Wang and former GitHub CEO Nat Friedman to run Superintelligence Labs is seen as a drastic step to restructure Meta's entire AI strategy.

Meanwhile, the company continues to spend heavily on infrastructure, including the $27 billion Hyperion data center project in Louisiana, which Zuckerberg described as “the size of a section of Manhattan.”

Observers say Meta is not alone in this trend. A series of AI companies such as Scale AI, Snorkel AI, Windsurf or Cognition have all laid off 10-30% of their staff after being acquired by large corporations.

“ Big Tech is now left with a bare minimum for a variety of reasons,” said JP Gownder, president and principal analyst at Forrester.

According to the World Economic Forum (WEF), AI could eliminate 85 million jobs but create 170 million new ones in the next three years. The challenge for tech workers is to find a role as the industry shifts to prioritize AI.

Startups in this space often offer glamorous but volatile career opportunities and offers as they aim for the ultimate goal of being EXIT (ending operations, being acquired or merged).

After being acquired by the "big fish", startups find it difficult to maintain independent operations and often shrink.

In addition, according to Gownder, the rapid development of AI has led many technology companies to not only believe that they do not need low-level employees, but also to restructure their human resources systems, focusing more on high-level positions, eliminating intermediary layers. Therefore, many layoffs are aimed at middle management.

For employees, they used to see acquired startups as growth opportunities, but now they see it as a risk, fearing being left behind.

Despite these changes, experts stress that layoffs don’t tell the whole story. Along with all the lean announcements, companies are also ramping up hiring in other areas tied to their AI strategies, such as machine learning, data science , and AI safety.

(According to CNBC)

State funds cannot invest 'hotly', with results in a day or two. State investment funds of countries such as Korea, Japan, Singapore... all set long-term cycles of 20-30 years, not expecting to recover capital in a short period of a few years or a few months.

Source: https://vietnamnet.vn/meta-sa-thai-600-nhan-vien-ai-nghe-hot-nhat-dang-tro-nen-rui-ro-hon-bao-gio-het-2455570.html