Research Scientist Nick van der Meulen speaks with Financial Times reporter Bethan Staton about how automation could be used to help employers plug the skills gap. “You can give people insight into how their skills stack up . . . you can say this is the level you need to be for a specific role, and this is how you can get there,” says van der Meulen. “You cannot do that over 80 skills through active testing, it would be too costly.”
Writing for The New York Times, Institute Prof. Daron Acemoglu explores the “three epochal changes poised to reshape the U.S. economy in coming years: an aging population, the rise of artificial intelligence and the rewiring of the global economy.” Acemoglu makes the case that “if handled correctly, these challenges could remake work and deliver much higher productivity, wages and opportunities — something the computer revolution promised and never fulfilled.” He adds: “If we mismanage the moment, they could make good, well-paying jobs scarcer and the economy less dynamic. Our decisions over the next five to 10 years will determine which path we take.”
Writing for MarketWatch, Joseph Coughlin, director of the MIT AgeLab, emphasizes that the dockworker strike was “emblematic of broader shifts in the American workforce and the integration of technology in the workplace. As older generations retire and younger ones seek more flexible, technology-driven careers, traditional industries must adapt or be left behind.”
Prof. Yossi Sheffi speaks with Boston Globe reporter Hiawatha Bray about the challenges and risks posed by implementing automation, amid the dockworkers strike. Sheffi emphasized the importance of gradually introducing new technologies and offering workers training to work with AI. “There will be new jobs,” says Sheffi. “And we want the current workers to be able to get these new jobs.”
Prof. Yossi Sheffi speaks with Associated Press reporter Cathy Bussewitz about how automation could impact the workforce, specifically dockworkers. “You cannot bet against the march of technology,” says Sheffi. “You cannot ban automation, because it will creep up in other places... The trick is to make it over time, not do it haphazardly.”
Prof. David Autor speaks with Washington Post reporter Cat Zakrzewski about the anticipated impact of AI in various industries. “We are just learning how to use AI and what it's good for, and it will take a while to figure out how to use it really productively,” says Autor.
A new study by researchers from MIT and elsewhere has found that “most drivers are likely to multitask and get distracted if their vehicles are equipped with partial automation software,” reports William Gavin for Quartz. The researchers “studied how drivers with cars that have the technology behaved after it was enabled,” explains Gavin.
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.
In an essay for Project Syndicate, Prof. Simon Johnson underscores for the need for countries around the world to “make strategic investments in key technologies, to create more good jobs, and to stay ahead of increasingly aggressive geopolitical competitors.” Johnson emphasizes: “If you want more good jobs, invest in science, facilitate the commercialization of the technology that results from it, and make it easy for people to build companies where the product was invented.”
Wall Street Journal reporter Justin Lahart spotlights the work of Prof. David Autor, an economist whose “thinking helped change our understanding of the American labor market.” Harvard Prof. Lawrence Katz says Autor has “probably been the most insightful and influential scholar of the labor market” in decades. “To me, the labor market is the central institution of any society,” says Autor. “The fastest way to improve people’s welfare is to improve the labor market.”
A new paper by Prof. Daron Acemoglu and Prof. Simon Johnson uses the impact of automation in the textile industry to predict potential similar effects from AI, writes Bloomberg’s Andy Mukherjee. Noting the parallels between the Indian textile industry and disruption currently underway in tech outsourcing, the economists write “the impact of automation on workers today is more complex than an automatic linkage from higher productivity to better wages.”
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.
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.”