Labor and jobs

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.” 

MIT researchers found that purchased AI tools succeed roughly twice as often as comparable in-house builds, Forbes’ Dennis Vorobyov highlights. “[S]o spend the engineering effort where you are genuinely differentiated,” writes Vorobyov. “Budget wise, none of this requires a moonshot, just clarity and sequencing.” 

Forbes’ Satya Krishnaswamy highlights a study co-authored by Lawrence Schmidt, a research affiliate at Sloan, that found AI can contribute to growth in certain roles where workers focus on higher-value tasks. “Schmidt’s research found that increased AI use was linked to both employment and sales growth,” writes Krishnaswamy.  

Forbes’ Bryan Robinson highlights Prof. Paul Osterman’s new book, “Disposable Workers: The Transformation of Employment,” and identifies what constitutes disposable work. “We’re not becoming a gig economy; we’re becoming a disposable one,” says Osterman. “Marginal workers are employees who have no career prospects at their organizations.” 

MIT researchers have found that lower birth rates are associated with higher growth in Gross Domestic Product globally, writes The Atlantic’s Idrees Kahloon. “[P]erhaps more important than the observed correlation is the authors’ proposed explanation: that when prime-age workers become scarce, companies adapt by developing productivity-boosting technology,” notes Kahloon.  

Prof. Emilio J. Castilla speaks to Forbes’ Lauren Russell about how bias can shape employee performance reviews. “Bias—whether explicit or unconscious—can potentially shape employment decisions at every stage, from who is interviewed and hired to who is promoted and who is rewarded for excellent performance,” says Castilla.  

In a study of developers using GitHub Copilot, MIT researchers found AI shifted time away from teamwork and toward coding, writes Forbes’ Sarah Davis. “If AI reduces the need to ask colleagues for help and advice, workplaces become the mechanism for creating human interactions that promote connection and knowledge sharing,” writes Davis.  

Prof. Daron Acemoglu discusses how issues with AI and social media inform his new book, “What Happened to Liberal Democracy?” in an article by Fortune’s Nick Lichtenberg. “We live in an environment that’s been partly shaped by social media, and there is a tendency to escalate everything, because that gets attention,” says Acemoglu. “Politics is like that. The other topic like that, unfortunately, is AI.” 

MIT researchers found that contrary to popular assumptions, lower birth rates have raised rather than lowered the Gross Domestic Product globally, writes The Dispatch’s Eli Kronenberg. “Across the board, we found that these lower birth rates were leading to a faster pace of technological adoption and progress,” says graduate student Keelan Beirne, a co-author on the paper. 

Financial Times reporter Martin Wolf spotlights Institute Prof. Daron Acemoglu’s latest book, “What Happened to Liberal Democracy?”, which he notes is "timely and thought-provoking,” and "an important call to arms.” In the book, Acemoglu explores his "grand idea of ‘working-class liberalism,’” writes Wolf. “This concept, he states, is built on experimentation and the freedoms of association and expression, is suspicious of excessive power, uses redistribution, allows the less fortunate to participate more fully, values growth, attempts to provide good jobs for everybody and values community, trust and the sharing of useful knowledge.”

In an article about AI’s impact on the job market, The Guardian’s Varsha Bansal highlights Prof. Paul Osterman’s new book, “Disposable Workers: The Transformation of Employment.” Bansal writes: “About 35% of the US workforce is already considered easily replaceable, according to his [Osterman’s] research. AI will only exacerbate this, he said. But not all jobs are in the same boat, and neither are their options for adapting, said MIT’s Osterman.”