Geoffrey Hinton, a leading figure in artificial intelligence, warned that accelerating advances in AI could displace swaths of white-collar workers as early as 2026, with systems moving from short coding tasks to months-long software projects. His caution comes as economists flag a “jobless boom,” in which productivity climbs while payrolls lag. KPMG’s Diane Swonk said growth has decoupled from labor markets as firms trim staffing after pandemic-era hiring. Yet a Teneo survey of more than 350 large-company CEOs found 67% expect AI to boost entry-level hiring in 2026 and 58% plan to add senior leadership roles, as companies accelerate recruitment for engineering and AI-focused positions while automating routine tasks.
Related articles:
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of LLMs
NBER: Generative AI at Work—Evidence from Customer Support
Brookings: Automation and AI—How machines affect people and places































