Labor and jobs

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.  

For The Next Big Idea Club, Prof. Paul Osterman outlines the pillars of his new book, “Disposable Workers: The Transformation of Employment.” “The rise of disposable work is allowing companies to gain flexibility and cut costs while shedding responsibility for their workers,” writes Osterman. “We need guardrails to keep that flexibility from coming at the expense of workers and the public.” 

Prof. Paul Osterman speaks to Fortune’s Nick Lichtenberg about how his new book “Disposable Workers: The Transformation of Employment” explores how a perceived lack of ambition among Gen Z reflects the decreased amount of job security and opportunity available to young workers. “No one has job security anymore, but these folks [disposable workers] are hired with that expectation and are not going to be around for long,” says Osterman.

Prof. David Autor speaks to Financial Times reporter Christian Davies about the increased use of physical AI systems at U.S. manufacturing companies. “[Autor says] that while individual companies might increase headcount as they grow more productive, it is a fallacy to assume this will be replicated across the manufacturing sector as a whole, noting that previous waves of automation in the US have all driven large-scale declines in blue-collar employment,” writes Davies.  

Prof. Anna Stansbury speaks to the Financial Times’ Myles McCormick about a new study that found that chief executives at America’s largest low-wage employers had seen their pay rise 41 percent between 2019 and 2025, while the median worker earned 21 percent more income. “There’s been for several decades a shift in the balance of power from labor to capital in the US,” says Stansbury. “It seems unlikely that what’s happening now...can be used to infer a big secular shift in power beyond the ongoing steady trend that we’ve been seeing for a long time.”  

Prof. Regina Barzilay, graduate student Aziz Ayed and alumna Sydney Pham ‘24 are featured in an article about AI models and the workforce, written by Nature’s Ben Deighton. “Sometimes models can make sense of unexpected observations, which can guide further iterations of studies,” Pham says. “It’s helpful to understand how the models generate their results.” 

Sloan Senior Lecturer Paul Cheek’s new book, “No One Works Here” is outlined by Forbes’ Joe McKendrick. “The companies that are most likely to fall behind their peers are the ones that insist on keeping a human in the loop for decisions that a machine could have made yesterday,” Cheek writes in his book.  

Prof. Daniela Rus, Director of MIT CSAIL, and Prof. David Autor, department head of Economics, are featured on Time’s “TIME100 AI 2026” list of 100 innovators, leaders, and thinkers reshaping the world through their advances in AI. “Over three decades, [Rus] has conducted pioneering work in robotics, extending the understanding of what form robots can take,” writes Tharin Pillay, while Steven Freiss describes Autor as “one of the nation’s most vocal and prominent economists aiming to ascertain AI’s potential impacts on labor.”