"The challenge, then, isn’t just understanding where A.I. is headed—it’s shaping its direction before the choices narrow. As an example of A.I.’s potential to play a socially productive role, Autor pointed to health care, now the largest employment sector in the U.S. If nurse practitioners were supported by well-designed A.I. systems, he said, they could take on a broader range of diagnostic and treatment responsibilities, easing the country’s shortage of M.D.s and lowering health-care costs. Similar opportunities exist in other fields, such as education and law, he argued. “The problem in the economy right now is that much of the most valuable work involves expert decision-making, monopolized by highly educated professionals who aren’t necessarily becoming more productive,” he said. “The result is that everyone pays a lot for education, health care, legal services, and design work. That’s fine for those of us providing these services—we pay high prices, but we also earn high wages. But many people only consume these services. They’re on the losing end.”
If A.I. were designed to augment human expertise rather than replace it, it could promote broader economic gains and reduce inequality by providing opportunities for middle-skill work, Autor said. His great concern, however, is that A.I. is not being developed with this goal in mind. Instead of designing systems that empower human workers in real-world environments—such as urgent-care centers—A.I. developers focus on optimizing performance against narrowly defined data sets."
https://www.newyorker.com/magazine/2025/04/21/how-to-survive-the-ai-revolution
