Prof. Daron Acemoglu speaks with Newsweek reporter Hugh Cameron about the impact of AI on layoffs at major retailers. “I don't think we are at the cusp of mass unemployment,” says Acemoglu. “AI models have many limitations, and while there will be companies such as Amazon that will attempt to organize work to get more out of AI and reduce their headcount, at the macroeconomic level things will go more slowly.”
Time reporter Brian Elliott spotlights Prof. Zeynep Ton’s comments at a recent conference regarding the importance of businesses having an employee-focused strategy when implementing new AI tools. “The status quo mindset in leaders is to see labor as a cost to be minimized,” Ton explains. “Exemplary companies think of employees as drivers of customer satisfaction, profitability and growth.”
Prof. Daron Acemoglu speaks New York Times reporter Karen Weise about workplace automation at Amazon. “Nobody else has the same incentive as Amazon to find the way to automate,” Acemoglu. “Once they work out how to do this profitably, it will spread to others, too.”
Prof. Daron Acemoglu speaks with Financial Times reporters Claire Jones and Melissa Heikkilä about the economic implications of the AI boom. “There is a lot of pressure on managers to do something with AI… and there is the hype that is contributing to it,” says Acemoglu. “But not many people are doing anything super creative with it yet.”
Prof. Thomas Kochan speaks with GBH reporter Craig LeMoult about the recent Market Basket’s leadership dispute. “The reality is Market Basket is a community asset,” says Kochan. “People value it because it provides good service, good prices, good jobs. And the public is hungry for a company like that. And they demonstrated that in 2014 when the first episode occurred and everyone rallied around the employees who rallied their CEO.”
Prof. David Autor speaks with David Pogue of CBS Sunday Morning about how AI is impacting the labor market, in particular opportunities for entry-level job seekers. “My view is there is great potential and great risk,” Autor explains. “I think that it's not nearly as imminent in either direction as most people think." On the impacts for young job seekers, Autor emphasizes that “this is really a concern. Judgment, expertise, it's acquired slowly. It's possible that we could strip out so much of the supporting work, that people never get the expertise. I don't think it's an insurmountable concern. But we shouldn't take for granted that it will solve itself."
Prof. Daron Acemoglu speaks with WBUR’s Here & Now co-host Scott Tong about the role of institutions in the overall prosperity of nations and some of the current challenges facing the US. “It’s a very important part of rebuilding democracy that we have to make experts trusted again. And that has to start with us,” says Acemoglu. “We have to be much more down to Earth. We have to be honest about when we are certain of something and when we are uncertain. And, I think we have to make certain that it’s not our political views that drive our advice or our analysis.”
Principal Research Scientist Andrew McAfee speaks with New York Times reporter Steve Lohr about why companies are not yet seeing the economic payoff of AI implementation in the workforce. “It’s not surprising that early A.I. efforts are falling short,” said McAfee. “Innovation is a process of failing fairly regularly.”
Prof. Philip Isola speaks with Fast Company reporter Victor Dey about the impact and use of agentic AI. “In some domains we truly have automatic verification that we can trust, like theorem proving in formal systems. In other domains, human judgment is still crucial,” says Isola. “If we use an AI as the critic for self-improvement, and if the AI is wrong, the system could go off the rails.”
A working paper by MIT researchers has found “that the most successful generative AI deployments consistently involve frontline workers from the earliest stages through rollout,” reports Sharon Wu for USA Today. The researchers “demonstrate that when employees help define the problem, co-design workflows, experiment with tools, and shape fair transition policies, not only does adoption improve, but worker productivity and job quality also rise.”
Prof. David Autor speaks with CNN’s Fareed Zakaria about how China moving into sectors like robotics, AI, quantum computing, fusion power, telecommunications, aviation and more could significantly impact the U.S. economy. Autor notes that by focusing on the last trade war with China, “the U.S. is distracting itself from the really formidable challenge we find ourselves facing now from China’s incredible innovative capacity and very, very intensive investment.”
Prof. David Autor speaks with CNBC about how Chinese industrial policies could impact the United States. “The U.S. needs to recognize that it would be much more effective if it worked with its allies,” says Autor.
Writing for The New York Times, Prof. David Autor and Prof. Gordon Hanson of Harvard explore how China is “aggressively contesting the innovative sectors where the United States has long been the unquestioned leader." To avoid a second China Shock, they emphasize that the United States “must nourish industries that have high potential for innovation, funded by joint investments by the private and public sectors.”
Prof. David Autor speaks with ABC News reporter Max Zahn about how AI will affect the job market. "We're not good at predicting what the new work will be; we're good at predicting how current work will change," says Autor.
A study by MIT researchers has found “our behavior is often more predictable than we think,” reports Diane Hamilton for Forbes. “This research focused on how people pay attention in complex situations,” explains Hamilton. “The AI model learned what people remembered and what they ignored. It identified patterns in memory and focus.”