Prof. Daron Acemoglu speaks with Bloomberg reporters John Lee and Katia Dmitrieva about the social and economic impacts of AI. “We don’t know where the future lies,” says Acemoglu. “There are many directions, the technology is malleable, we can make different choices.”
Researchers from MIT and Stanford University have found “staff at one Fortune 500 software firm became 14% more productive on average when using generative AI tools,” reports Olivia Solon and Seth Fiegerman for Bloomberg.
Jeff Karp, an affiliate faculty member with the Harvard-MIT Program in Health Sciences and Technology, speaks with NBC Boston 10 reporter Renée Onque about the “pendulum lifestyle” – a new outlook on work-life balance detailed in Karp’s book “LIT: Life Ignition Tools.” "We hear these things from others, [like] trust in the process [and] balance is so important, we need more balance, it's the ultimate goal," says Karp. "It ends up being very frustrating and can lead to anxiety, because we're constantly feeling like we're not in balance. There's a state we should be in [and] we're never in that state."
Researchers at MIT have found that knowledge spillovers are more likely to occur when people are within 20 meters of one another, reports Tracy Brower for Forbes. Knowledge spillover “can occur intentionally—when you ask a question or gather around a white board to work through issues,” explains Brower. “Or it can be unintentional—when you’re near your team and you overhear a great idea or get passive exposure to the work going on with others.”
Prof. Kristin Forbes speaks with Reuters reporters Ann Saphir and Howard Schneider about the Federal Reserve’s decision to lower borrowing costs. “It's not one thing that causes everyone to move,” says Forbes. “It's different people focus on different data, different indicators, different risks, and then they all end up in the same place.”
Prof. Kristin Forbes speaks with Associated Press reporter Christopher Rugaber about the Federal Reserve’s announcement declaring the end of the three-year inflation surge. “It really has been a remarkable success, how inflation went up, has come back, and is around the target,” says Forbes. “But from the viewpoint of households, it has not been so successful. Many have taken a big hit to their wages. Many of them feel like the basket of goods they buy is now much more expensive.”
Prof. Daron Acemoglu is a guest on the Financial Times podcast, “The Economics Show with Soumaya Keynes," detailing his research on the economics of AI and implications for workers. He says AI could help the current workforce communicate better and control its own data, while opening up possibilities for the geographically or economically disadvantaged, if the right policies are put in place. “I think having this conversation, and really making it a central part of the public debate that there is a technically feasible and socially beneficial different direction of technology, would have a transformative effect on the tech sector,” he explains.
Writing for Forbes, Andrew Binns highlights research from Prof. Daron Acemoglu suggesting total productivity gains of AI could be as little as 0.53% over 10 years, much lower than common estimates.
Writing for The Boston Globe, Prof. Thomas Kochan explores how workers, unions, CEOs and politicians can all draw lessons from the Market Basket protests in 2014. "The key lesson for workers and unions is to draw on customers and citizens as allies and sources of power," writes Kochan. "If workers’ demands make sense, customers and community members will support them."
Prof. Thomas Kochan speaks with Boston Globe reporter Dana Gerber to reflect on the impact of 2014 Market Basket protests. Kochan, who co-authored a case study about the protests, says “it’s still the most unprecedented worker action that we’ve seen in our century. We’ve never seen a non-union group take action in support of their CEO, and hold that solidarity — from the executives to the clerks to the truck drivers — for six weeks. And to get the support of the customers was a remarkable achievement.”
Prof. William Deringer speaks with David Westin on Bloomberg’s Wall Street Week about the power of early spreadsheet programs in the 1980s financial services world. When asked to compare today’s AI in the context of workplace automation fears, he says “one thing we know from the history of technology - and certainly the history of calculation tools that I like to study – is that the automation of some of these calculations…doesn’t necessarily lead to less work.”
Research by Prof. David Autor finds that following the Covid-19 pandemic, wages for lower-paid US workers increased, reports Soumaya Keynes for The Financial Times. Autor and his colleagues found that people switching to better jobs served as a mechanism for boosting pay.
In an excerpt from her new book, “The Mind’s Mirror: Risk and Reward in the Age of AI," Prof. Daniela Rus, director of CSAIL, addresses the fear surrounding new AI technologies, while also exploring AI’s vast potential. “New technologies undoubtedly disrupt existing jobs, but they also create entirely new industries, and the new roles needed to support them,” writes Rus.
Prof. Daron Acemoglu speaks with NPR Planet Money hosts Greg Rosalsky and Darian Woods about the anticipated economic impacts of generative AI. Acemoglu notes he believes AI is overrated because humans are underrated. "A lot of people in the industry don't recognize how versatile, talented, multifaceted human skills and capabilities are," Acemoglu says. "And once you do that, you tend to overrate machines ahead of humans and underrate the humans."
Writing for Fortune, Prof. Daron Acemoglu explores the estimated scale of AI’s impact on the labor market and productivity. “The problem with the AI bubble isn’t that it is bursting and bringing the market down,” writes Acemoglu. “It’s that the hype will likely go on for a while and do much more damage in the process than experts are anticipating."