Prof. David Autor discusses the potential future economic impact of AI in a panel discussion moderated by Wall Street Journal reporter George Anders. “Technology automates, it complements and it creates new expertise and new work,” says Autor. “I don’t think we’re headed into a new world where human judgment, moral reasoning, empathy and know-how have no economic value.”
Prof. Simon Johnson discusses the impact of AI on jobs in an interview with Financial Times (FT) reporters Delphine Strauss and Sam Fleming for the FT’s “Economists Exchange” series. “We are trying very hard at MIT to find ways to incorporate AI into the curriculum but to push harder on the entrepreneurship angle, the creation of new products and services, the development of critical thinking,” says Johnson.
In an interview with Fortune reporter Nick Lichtenberg, Prof. Daron Acemoglu discusses AI’s economic impact and his book, What Happened to Liberal Democracy. Acemoglu estimates AI will deliver roughly 0.55% in total factor productivity gains. “It’s not that you cannot get big productivity gains from automation. It is that it’s not as easy as sometimes it’s presumed,” says Acemoglu.
For The Atlantic, reporter Rogé Karma describes how Prof. David Autor and Principal Research Scientist Neil Thompson found a basic pattern for technological changes and job displacement based on the evolution of inventory clerk versus accounting clerk positions. “The story is almost never as simple as: We’re in a race with machines and machines will win,” says Autor. “What matters for a given profession is whether technology enhances a worker’s expertise or commodifies that expertise.”
In a Forbes article, contributor Wes Kilgore cites a study by MIT economists that reveals how timely hospice use can create healthcare savings in the U.S. “When families avoid hospice because of fear or legal confusion, patients return to emergency rooms, see specialists, undergo procedures, and drive-up Medicare costs,” writes Kilgore.
Prof. Daron Acemoglu joins New York Times reporter Bill Wasik for a panel discussion about the impact of AI on job security and its potential to supplement work. “The current view is that somehow [AI] agents are going to do a lot of the work and we just need to supervise them,” says Acemoglu. “I find that very unrealistic. But if it was realistic, it would be a horrible thing.”
Wall Street Journal reporter Gary Rivlin speaks with Prof. Daron Acemoglu about the growing use of AI in the business world. “Whether you’re a CEO, a manager, a journalist, a professor or a construction worker, I see your skills as beyond what AI can perform,” says Acemoglu.
NPR reporter Jeff Brady spotlights a study by Prof. Jessika Trancik and Marco Miotti PhD ’20 that found “across most of the U.S., electric vehicles are cost-competitive with their gas counterparts. And it found that in most locations, EVs also reduce emissions between 40% and 60%.”
Writing for Bloomberg, Prof. Paul Osterman examines the rising use of contractors, freelancers and gig-workers by employers around the country. “While not all workers need to be forced into standard employment, they deserve some minimum level of protection and benefits—that includes gig workers and freelancers, who often don’t have any,” Osterman notes. “Workers need not pay a high price so employers can secure the flexibility they need.”
Forbes contributor Michael T. Nietzel spotlights the 120 new members and 25 international members elected by the National Academy of Sciences for 2026. Several MIT faculty members – including Professors Michale Fee, Gareth McKinley, Keith Nelson, Bengt Holmstrom and Catherine Wolfram – were selected.
Prof. Daron Acemoglu joins Slate’s “Money Talks” podcast to explain his research into pro-worker technologies and how we can not only avoid the AI job apocalypse but also improve workers’ lives by shifting the goal of AI from automation to collaboration. “Artificial intelligence is quite different than human intelligence,” says Acemoglu. “And when two things are different, a natural way to combine them is in a complimentary way.”
Profs. Daron Acemoglu and David Autor join Jon Stewart on his podcast, “The Weekly Show” to discuss what the future might look like for American workers and the importance of creating guardrails and policies that help ensure AI can be integrated in way that is positive for workers. “There’s constructive ways to steer. We don't need to shut it down. We don't need to regulate it to death so it can't move. The U.S. is innovative, and that's great. We have a lot to be proud of, in that we have led this technology. We're building it out quickly. It's valuable,” says Autor. “We need to steer it. Just left to its own…it’s not going to be pro-worker.”
Prof. Simon Johnson joins Michel Martin of NPR’s Morning Edition to discuss the International Monetary Fund’s latest forecast showing the impact of the war in Iran on economic growth and inflation. Johnson notes that the war “is a big shock to energy prices. Energy prices are an important element of economies around the world...So I'm afraid a lot of countries are suffering a deceleration of growth or even some negative growth.”
Fortune reporter Nick Lichtenberg highlights research by MIT economists that finds “automation doesn’t affect all parts of a job equally. The critical variable is whether the tasks being automated are the expert parts of a role or the administrative scaffolding around them.”
Writing for WBUR, MIT Profs. Christopher Knittel, Catherine Wolfram and UCLA Prof. Kimberly Clausing break down the cost of climate change for the average American household, which is about $900 each year. “Climate inaction isn’t just an environmental failure, it’s a sizable part of America’s affordability problem,” they write. “Recognizing this may finally make climate action something voters can rally behind.”