Economist predicts agentic AI could significantly alter job markets.
Nobel-winning economist Daron Acemoglu warns that agentic AI could disrupt job markets by automating more than just simple tasks. His recent paper challenges tech leaders who promised an overhaul of white-collar work with AI.
Acemoglu argues that while AI can handle specific tasks, it struggles to adapt across multiple roles typical in a job. This limits its use as a one-size-fits-all replacement for human workers, especially given the diverse and dynamic nature of many professional tasks.
For builders and operators, this means prioritizing AI tools that augment rather than replace human capabilities. The success of AI in the workplace hinges on its ability to handle varied tasks seamlessly, something currently beyond most AGI systems.
Next steps involve watching how AI companies improve their agents’ adaptability. Acemoglu believes the key will be an agent’s capacity to fluidly switch between different tasks and databases, which is critical for widespread job disruption.
What matters
- Acemoglu criticizes AI agents as job replacements, citing task complexity.
- Builders and operators must consider AI’s limited adaptability to full jobs.
- Next developments will focus on AI agents’ ability to handle diverse tasks.
Why it matters
Next developments will focus on AI agents’ ability to handle diverse tasks.
This GenAI News article was prepared in original wording using reporting and materials published by MIT Technology Review AI. Source reference: https://www.technologyreview.com/2026/05/11/1137090/three-things-in-ai-to-watch-according-to-a-nobel-winning-economist/.
Drafted by the GenAI News review pipeline.