Pascual Restrepo's new NBER paper argues it's not about what AI can do. It's about what AI will bother doing—and most human work doesn't make the cut.
A Yale economist says AGI won’t automate most jobs—because they’re not worth the trouble
Yale economist Pascual Restrepo's NBER paper argues that AGI (Artificial General Intelligence) is unlikely to automate most human jobs due to economic inefficiency, as many tasks are not worth the cost of automation. The analysis focuses on the cost-benefit tradeoff of AI adoption in labor-intensive roles. Organizations must reassess automation strategies to avoid over-investment in low-impact AI solutions.