Tech CEOs Accused of 'AI Psychosis' as Mass Layoffs Surge Despite Lack of Proven Productivity Gains
Summary
Tech CEOs are being accused of 'AI psychosis' as mass layoffs surge past 115,000 in 2026, with executives citing AI productivity gains that researchers say lack robust evidence, while experts warn AI agents won't reach human-level competence until 2029.
Key Points
- Tech CEOs are being accused of suffering from 'AI psychosis,' a term coined by Box founder Aaron Levie, who warns that executives overestimate AI's capabilities because they are too far removed from the detailed, hands-on work required to make AI actually function in real-world workflows.
- Mass tech layoffs are accelerating in 2026, with nearly 115,000 workers already cut in just five months, as many companies cite AI productivity gains as justification, though researchers find no robust evidence linking AI adoption to measurable aggregate productivity improvements.
- Experts warn that AI agents are not yet performing at human-quality levels on most tasks, with MIT researchers projecting base competence on text-related tasks by 2029, and Harvard Business Review research cautioning that widespread AI use simply shifts bottlenecks to executives, risking organizational chaos.