Were Meta and Nike’s layoffs caused by AI? Not in the same way

The short answer

Meta is the stronger AI-linked case. Nike is not, at least based on the public reporting available.

So the cleanest conclusion is this: Meta’s layoffs can fairly be discussed as part of an AI-and-efficiency shift. Nike’s cuts are better described as a technology-organization restructuring unless more evidence emerges that AI automation directly drove them .

Why Meta’s cuts are more clearly connected to AI

In Meta’s case, AI is not just background noise. The layoffs have been reported alongside the company’s AI push and its attempt to run more efficiently .

The New York Times reported that Meta planned to cut 10% of its workforce in an AI push . The BBC similarly reported that Meta was cutting one in 10 jobs after spending billions on AI . CNN, citing an internal memo, reported that the layoffs were set to take effect on May 20 and that Meta described the move as part of an effort to operate more efficiently and offset other investments .

Those “other investments” are substantial. CNN reported that Meta spent $72.2 billion on capital expenditures in 2025, including costs related to data centers and other AI infrastructure, and that the figure was expected to rise to at least $115 billion in 2026 .

There is also a productivity argument in the background. According to the BBC, Mark Zuckerberg said he had seen workers who relied heavily on AI tools become much more productive, and that one person could now complete projects that previously would have required a large team . He also said 2026 would be the year AI starts to dramatically change how people work .

That does not prove every eliminated Meta role was directly replaced by an AI system. It does show that the cuts are deeply tied to the company’s AI spending, productivity expectations and efficiency push .

Why Nike is a different case

Nike’s announcement can easily get swept into the same “AI layoffs” narrative because the cuts were large and concentrated mainly in technology roles. CNBC reported that Nike would eliminate about 1,400 roles, primarily in its technology department, after cutting 775 roles in January .

But a technology-department layoff is not automatically an AI layoff. CNBC reported that Nike described the cuts as part of efforts to better position the company for future growth under its “Win Now” strategy . The reporting provided does not show Nike saying that AI automation or AI productivity gains were the direct reason for the job cuts .

That makes the safer wording important. Nike’s move can be described as a major restructuring that affects technology roles. It should not be presented as confirmed evidence that AI directly replaced those workers .

Why the “AI layoffs” label keeps spreading

The wider concern is understandable. CNBC reported that major companies are spending heavily on AI infrastructure to meet demand for AI services while also seeking efficiencies from AI and cutting headcount . The same report noted another factor: companies are still adjusting after pandemic-era overhiring .

CNBC also cited Layoffs.fyi data showing that, as of that week, more than 92,000 tech workers had been laid off so far in 2026 . That backdrop helps explain why any large cut at a technology-heavy company is quickly read through an AI lens.

But the label can still be too broad. Layoffs may reflect AI investment, cost control, organizational redesign, post-pandemic rightsizing, a shift in growth strategy — or some mix of those factors .

The most accurate way to say it

A careful summary would be:

• Meta’s layoffs are strongly linked in public reporting to AI investment and efficiency .
• Nike’s layoffs were reported as part of its “Win Now” strategy and mostly affected technology roles, but AI has not been established as the direct cause .
• The broader labor-market anxiety is real, because AI infrastructure spending and headcount reductions are happening at the same time across parts of corporate America .

In other words, Meta looks like an AI-and-efficiency layoff story. Nike looks like a strategy and technology-organization restructuring story. Treating them as the same kind of “AI layoff” overstates what the evidence shows .