Nobel Prize-winning economist Daron Acemoglu predicts AI will contribute only 1.5% to GDP growth over the next decade.
Key facts
- •Daron Acemoglu estimates AI will replace at most 5% of jobs over a decade.
- •The economist suggests that human-centric organizational changes are a significant bottleneck for productivity.
- •Acemoglu argues that AI models extending human skills are more effective than those aiming for full automation.
- •The article was featured in Microsoft's corporate blog, 'The Humanist Review of AI'.
Microsoft has published an article by Nobel Prize-winning economist Daron Acemoglu that offers a cautious outlook on the economic impact of artificial intelligence. Acemoglu projects that AI will increase GDP by approximately 1.5% over the next ten years and replace no more than 5% of existing jobs.
Human Factors and Productivity
Acemoglu argues that the primary obstacle to AI-driven productivity is the time required for companies to restructure, upskill workers, and reassign tasks. He suggests that this transition could take longer than the historical shift toward electrification, noting that simply building larger AI models will not resolve these challenges.
Automation Versus Skill Extension
The economist contends that AI tools designed to extend human capabilities will be more productive than those focused on full automation. He points to 'last-mile' problems and specific user needs as reasons why high-accuracy models often fall short of practical requirements. Acemoglu emphasizes that the current market lacks easy-to-deploy applications that fundamentally change production processes.
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This article was independently rewritten by ManyPress editorial AI from reporting originally published by The Decoder.
