Labor and jobs

Prof. Emilio Castilla discusses the factors companies must consider when deploying AI to help in the hiring process, in an article by USA Today’s Greta Reich. “We should evaluate not only whether the algorithm predicts historical hiring decisions, but whether it helps identify candidates who subsequently perform well in the job,” writes Castilla. “The most exciting possibility is not simply that AI might help us find the best talent more efficiently. It is that AI might help us recognize talent that our traditional hiring practices have systematically overlooked.”  

Research Affiliate Paul Kedrosky joins The New York Times’ “The Ezra Klein Show” to discuss how the development of AI is creating an economic bubble, where asset prices are detached from economic reality. “We’re building it [AI] out like we were the railroads, like we were electrification, like we were the canals, like we were the interstate highways. And every one of those moments has led to overbuild,” says Kedrosky. “The reality is we’ve never seen a general-purpose technology that had such broad applicability, was adopted so quickly and was repricing labor at the same time.”  

Prof. Daron Acemoglu joins CNBC’s “Closing Bell” to discuss how AI could cause mass job displacement due to companies deploying rapidly advancing technologies. “AI’s capabilities are real and powerful, but human jobs are also complex. I don’t think you want AI to take over air traffic controller jobs right now; you don’t want AI to do CEO jobs,” says Acemoglu. “What we are seeing when these models escape their sandboxes and create havoc—it's not that they are necessarily super intelligent, it is that they don’t have judgement and they are optimized for certain narrow metrics and when you let them loose, they are going to do lots of unforeseeable things. You don’t want that in many jobs.”  

Boston Globe reporter Jon Chesto spotlights the fall fair event held as part of the MIT x GE Vernova Energy & Climate Alliance, during which, GE Vernova CEO Scott Strazik shared his enthusiasm for hiring MIT graduates. “Something we talk a lot about inside Vernova is the world is changing very quickly but we need to change quicker and even faster than that so we can lead in the world,” says Strazik. “Over the last year-plus on this campus, we see a lot of opportunities for us to get better through bringing you into the organization.”  

In an interview with CBS News’ “60 Minutes,” Prof. Daron Acemoglu discusses his views on AI and how the technology could lead to worker displacement, without intervention. Concerns about AI and the labor market “should move us into thinking about what we can do because there is a lot we can do,” says Acemoglu. "Because the future is so uncertain, because the future is so much subject to our choice and agency, it is all the more important that we have this discussion." 

A working paper co-authored by Prof. Kate Kellogg found that building organization wide AI tools created “substantial work beyond employees’ day-to-day jobs,” writes Fortune’s Bilin Lin. “That work included trial-and-error experimentation, reviewing and refining outputs with colleagues across departments, and continually adapting solutions as AI models evolved. Much of that work remained invisible to leadership,” notes Lin.  

Forbes’ Afdhel Aziz highlights Extern, a platform that “helps students graduates and career switchers do real projects for companies,” founded by alumnus Matt Wilkerson ‘04, ‘05. “Nearly 90,000 people have used the platform to build experience they can put on a resume and talk about in an interview,” writes Aziz. “I want to work on a problem that really changes someone’s life in a very deep way, says Wilkerson.  

In an opinion piece for The Boston Globe, Prof. Jonathan Gruber discusses Massachusetts’ Question 5, the proposed tax rebate rule that would mandate that taxes be returned to taxpayers each time the state’s revenues grow faster than wages and salaries. “Most economists believe a recession is coming but we can’t say when. The best way to plan is to have the savings to help us through, or to invest so that we are as strong as possible when it hits,” writes Gruber. “Question 5 chooses the third path — spending the money now, and letting the state suffer in the future.”  

Jeffrey Riley, executive director of MIT RAISE’s “Day of AI” K-12 program, speaks to WBUR’s Suevon Lee about the importance of teaching school-aged children AI literacy skills. “Kids need to know about voice clones and deepfakes and plagiarism,” says Riley. “We need to teach kids so that they're healthy skeptics of this technology, that they mistrust and verify the information they're getting from it.”  

MIT researchers found that AI assisted work leads to the ‘diversity collapse’ of a brand’s voice, and users that rely on AI to do their thinking lose skills over time, highlights Forbes’ Michelle O'Connor. “Judgment, taste and the instinct to catch when something’s off isn’t a soft skill you can afford to lose,” writes O’Connor. “The MIT data is the first hard evidence of that.” 

A new paper co-authored by Prof. Anna Stansbury examines how socioeconomic differences can impact first-generation college students after graduation, writes Noam Scheiber for The New York Times. Stansbury and her colleagues found that having a parent with a graduate degree reflected a “generalized socioeconomic advantage.” Growing up affluent often “helps you learn how to read between the lines in certain situations, because you’ve been in similar kinds of situations,” Stansbury explains. 

The MIT Sloan School of Management’s MBA program is ranked No. 1 in Quacquarelli Symonds’ 2027 list of Global MBA offerings, write reporters Louie Brand and Mustafa Mitashar. “U.S. business schools dominate the very top of the table,” note Brand and Mitashar. MIT Sloan “also leads employability with [a score of] 98.6.”  

In his latest book, “Disposable Workers: The Transformation of Employment,” Prof. Emeritus Paul Osterman finds that 35% of the U.S. workforce is made up of disposable workers hired with the “implicit understanding that they won’t be around for long,” writes Fortune’s Nick Lichtenberg. Employers “do not invest in the great bulk of their workforce” in the way that they used to, says Osterman.  

Prof. Daron Acemoglu discusses the impact of AI models on jobs in an article by CNBC’s Trevor Laurence Jockims. “If AI continues to be developed as an automation technology, there will be more impacts. Right now, we don’t have many easy-to-use applications relevant for a large number of tasks/industries,” says Acemoglu. “Once these are developed, the labor market effects will be multiplied.”  

MIT researchers are leading a new project documenting what major AI systems say about elections in an effort to understand how the technology influences the democratic process, writes Tiffany Hsu for The New York Times. “AI is becoming part of the way people encounter and make sense of political information, and yet we know relatively little about what that information environment actually looks like, how it differs for different user demographics, political identities and geographies,” says Prof. Chara Podimata, a leader of the project.