Major Firms Cite AI as Reason for Layoffs, But Doubts Linger

Companies like Block, Atlassian, and Crypto.com cut thousands of jobs, blaming AI efficiency, but some experts question if it's just a convenient excuse for broader cost-cutting.

Apr. 1, 2026 at 10:36am

Got story updates? Submit your updates here. ›

A growing number of major tech companies, including Block, Atlassian, and Crypto.com, have announced significant layoffs in 2026, explicitly citing artificial intelligence (AI) as the primary driver. However, critics argue that some firms may be using AI as a convenient cover for broader cost-cutting measures, with a recent study finding that 95% of corporate AI investments have generated zero measurable return so far.

Why it matters

The wave of AI-driven layoffs raises questions about the true impact of the technology on the job market. While companies claim AI is enabling them to operate more efficiently with fewer employees, there are concerns that some firms may be using AI as a justification for cuts that would have happened regardless. This could have significant implications for the tech industry, startups, and workers seeking new opportunities.

The details

Major tech companies like Block, Salesforce, IBM, and Atlassian have all announced significant layoffs in 2026, with the firms explicitly citing AI as the reason. Block, for example, eliminated nearly half of its workforce, reducing headcount from over 10,000 to around 6,000. However, critics argue that some companies may be using AI as a convenient cover for broader cost-cutting measures, with a recent MIT study finding that 95% of corporate AI investments have generated zero measurable return so far.

  • In February 2026, Block cut nearly half of its workforce, reducing headcount from over 10,000 to around 6,000.
  • In March 2026, Atlassian cut 1,600 roles, about 10% of its global workforce.
  • Also in March 2026, Crypto.com reduced staff by 12%, with CEO Kris Marszalek declaring that roles which do not adapt to the new AI reality would simply disappear.

The players

Jack Dorsey

CEO of Block, who was blunt about the rationale for the layoffs, telling employees that intelligence tools combined with flatter teams are enabling a fundamentally different way of operating.

Mike Cannon-Brookes

CEO of Atlassian, who told employees it would be disingenuous to pretend AI does not change the mix of skills needed or the number of roles required in certain areas.

Kris Marszalek

CEO of Crypto.com, who declared that roles which do not adapt to the new AI reality would simply disappear.

Sam Altman

CEO of OpenAI, who has publicly suggested that some companies are using AI as a convenient cover for layoffs that would have happened regardless.

Robert Half

A consulting firm that conducted a 2025 survey finding that 29% of hiring managers had reinstated roles previously cut after implementing AI tools.

Got photos? Submit your photos here. ›

What they’re saying

“We must not let individuals continue to damage private property in San Francisco.”

— Robert Jenkins, San Francisco resident

“Fifty years is such an accomplishment in San Francisco, especially with the way the city has changed over the years.”

— Gordon Edgar, grocery employee

What’s next

The next six months will reveal whether this wave of AI-driven layoffs represents a genuine structural shift in how companies staff themselves or an overcorrection that companies walk back as they discover the limits of what current AI systems can actually do. Watch the rehiring data closely. If that 29% figure from Robert Half climbs, it tells you the technology is not yet ready to replace what was removed.

The takeaway

This wave of AI-driven layoffs highlights the complex relationship between technology and the job market. While companies claim AI is enabling them to operate more efficiently, there are concerns that some firms may be using AI as a convenient cover for broader cost-cutting measures. As the technology continues to evolve, it will be crucial for companies, startups, and workers to navigate the changing landscape and ensure that AI is deployed in a way that benefits all stakeholders.