Three things in AI to watch, according to a Nobel-winning economist
View original at technologyreview.comMIT Technology Review - Ai Research Title: Three things in AI to watch, according to a Nobel-winning economist Date: 2026-05-11 17:35 Source: https://www.technologyreview.com/2026/05/11/1137090/three-things-in-ai-to-watch-according-to-a-nobel-winning-economist/ <p><em>This story originally appeared in The Algorithm, ou…
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Some of the most influential research about AI's impact on work may increasingly come from the companies with the most to gain from favorable conclusions, which is a concerning dynamic
60% confidenceThere is a huge amount of uncertainty in the AI economy; conflicting signals will persist — anecdotes about worsening job markets for college graduates alongside no measurable effect on productivity
60% confidenceAI agents are better thought of as tools to augment particular pieces of someone's work than something malleable enough to handle a person's whole job
60% confidenceCorporate AI use should be taxed and workers displaced by AI-driven layoffs should receive compensation as part of a jobs guarantee
60% confidenceUsing AI agents as a one-to-many replacement for human workers is a losing proposition
60% confidenceAI companies have strong incentives to shape the economic narrative around their technology, raising the risk that in-house economists are hired to further viewpoints or hype rather than conduct genuine research
60% confidenceAI would give only a small boost to US productivity and would not obviate the need for human work; it is okay at automating certain tasks, but some jobs will be perfectly fine
60% confidenceOne of the key signals to watch for AI's economic impact is the creation of apps that make AI easier for average workers to use productively
60% confidenceIt makes sense for AI companies to hire economists because public skepticism about AI — largely driven by job concerns — is growing
60% confidenceSome previously skeptical economists have become more open to the idea that AI could cause seismic disruption to the labor market
60% confidenceStudies repeatedly find that AI is not affecting employment rates or layoffs
60% confidenceWhether AI agents will supercharge AI's impact on jobs depends on whether they can eventually handle the orchestration between tasks that humans do naturally; many jobs will be spared if agents cannot fluidly switch between tasks
60% confidenceAI has not yet seen the development of apps with the same usability as transformative software like PowerPoint or Microsoft Word, which is why AI has not yet shown a seismic impact on the job market or economy
60% confidenceAn x-ray technician juggles 30 different tasks — from taking patient histories to organizing mammogram archives — and an AI would need many individual tools or protocols to replicate the natural switching a human does
60% confidence