Writing for Project Syndicate, Institute Prof. Daron Acemoglu and Prof. Simon Johnson draw upon the work of economist David Ricardo and his insights on the Industrial Revolution to explore how to respond to the challenge posed by AI to good jobs. “It is still possible to have pro-worker AI, but only if we can change the direction of innovation in the tech industry and introduce new regulations and institutions,” they write.
Prof. David Autor speaks with Nature reporter Dalmeet Singh Chawla about the long-term impact of his research on policy documents. Autor’s work from November 2003 “is now the third most cited in policy documents worldwide,” writes Chawla. “Autor thinks his study stands out because his paper was different from what other economists were writing at the time. It suggested that ‘middle-skill’ work, typically done in offices or factories by people who haven’t attended university, was going to be largely automated, leaving workers with either highly skilled jobs or manual work.”
Prof. David Autor speaks with PBS host Walter Isaacson about the fear surrounding AI’s impact in the workforce and his view that AI could provide new opportunities for middle class workers. “Most of the time, technology is good for the elite and not so good for everybody else,” says Autor. “[AI] is a case where the technology might compete a little bit more with the elite and enable more people to do valuable work,” resulting in higher wages and more job opportunity for the middle class.
The Sloan School of Management hosted the “Creating Opportunities for Second Chance Hiring” conference to explore ways to “reduce barriers and increase opportunities for job seekers with a criminal history,” reports Paul Singer for GBH.
Fast Company reporter Shalene Gupta spotlights new research by Prof. David Autor that finds “about 60% of jobs in 2018 did not exist 1940. Since 1940, the bulk of new jobs has shifted from middle-class production and clerical jobs to high-paid professional jobs and low-paid service jobs.” Additionally, the researchers uncovered evidence that “automation eroded twice as many jobs from 1980 to 2018 as it had from 1940 to 1980. While augmentation did add some jobs to the economy, it was not as many as the ones lost by automation.”
Prof. David Autor speaks with New York Times reporter Steve Lohr about his hope that AI can be harnessed to become “worker complementary technology,” enabling individuals to take on more highly skilled work and find better paying jobs. “I do think there is value in imagining a positive outcome, encouraging debate and preparing for a better future,” Autor explains. “This technology is a tool, and how we decide to use it is up to us.”
Forbes reporter Oludolapo Makinde spotlights research by Prof. Daron Acemoglu and Prof. Simon Johnson that explores the impact of AI on the workforce. “Instead of aiming to create artificial superintelligence or AI systems that outperform humans, [Acemoglu and Johnson] propose shifting the focus to supporting workers,” writes Makinde.
Prof. David Autor speaks with Bloomberg’s Odd Lots podcast hosts Joe Weisenthal and Tracy Alloway about how AI could be leveraged to improve inequality, emphasizing the policy choices governments will need to make to ensure the technology is beneficial to humans. “Automation is not the primary source of how innovation improves our lives,” says Autor. “Many of the things we do with new tools is create new capabilities that we didn’t previously have.”
Prof. David Autor and Prof. Daron Acemoglu speak with New York Times columnist Peter Coy about the impact of AI on the workforce. Acemoglu and Autor are “optimistic about a continuing role for people in the labor market,” writes Coy. “An upper bound of the fraction of jobs that would be affected by A.I. and computer vision technologies within the next 10 years is less than 10 percent,” says Acemoglu.
Washington Post columnist Eduardo Porter spotlights various MIT research efforts aimed at ensuring that AI is used to empower human workers rather than replace them. Prof. David Autor notes: “AI, if used well, can assist with restoring the middle-skill, middle-class heart of the U.S. labor market that has been hollowed out by automation and globalization.”
MIT Innovation Fellow Brian Deese speaks with CNBC about how the new class of weight loss drugs will impact American taxes and the federal deficit. “These drugs could touch tens of millions of Americans, that’s the good news,” says Deese. “They have the potential to reduce obesity, address diabetes and reduce the health care costs associated with that. The problem is that the scale and the cost of these drugs is so large, that it could add enormously to the federal budget.”
Writing for The Hill, Prof. Christopher Knittel and graduate student Kailin Graham emphasize the importance of ensuring the transition away from fossil fuels is an equitable process that provides support for vulnerable workers. “If we’re serious about achieving a truly just transition, far more federal policy action is needed,” they write.
Prof. Emeritus Thomas Kochan speaks with Boston Globe reporter Katie Johnson about the impact of return-to-office mandates on employers and employees. “If Friday and Monday are strong preferences [to work remotely], you’re really risking alienating more people,” says Kochan. “You can expect they’re going to lose some of their talent to employers that have more favorable hybrid arrangements.”
Quartz reporter Michelle Cheng spotlights a working paper by Prof. David Autor which shows that “AI could enable more workers to perform higher-stakes, decision-making tasks that are currently relegated to highly-educated workers such as doctors and lawyers.” As Autor explains, “in essence, AI used well can assist with restoring the middle-skill, middle-class heart of the US labor market that has been hollowed out by automation and globalization.”
Axios reporter Courtenay Brown spotlights a new report by researchers from MIT and the Brookings Institute that finds poorer counties in the U.S. with lower employment rates have, “attracted a large share of the hundreds of billions of dollars allocated for clean energy projects, semiconductor mega-factories and more.” Brian Deese, an Innovation Fellow at MIT, explains that: “Distressed communities are attracting new clean energy and semiconductor investment at roughly twice the rate of traditional private investment. If this trend continues, it has the potential to change the economic geography of the country and create economic opportunity in parts of this country that too many people have written off in the past.”