Prof. Simon Johnson speaks with Wired reporter Paresh Dave about the financial and social cost of AI implantation in the workforce, making the case that governments should lower payroll taxes for entry-level roles to encourage hiring and help humans build careers. “The right lever to pull is one that reduces costs to employers,” says Johnson.
A study by researchers at MIT explores “worker attitudes surrounding automation,” reports Sage Lazzaro for Fortune. “A lot of factories and other industrial environments have had data around for a long time and haven’t necessarily known what to do with it,” explains Research Scientist Ben Armstrong. “Now there are new algorithms and new software that’s allowing these companies to be a lot more intelligent with using that data to make work better.”
Sloan lecturer Mikey Shulman, Colin Angle '89, SM '90, Tye Brady SM '99, Laira Major SM '05, Dharmesh Shah SM '06 have been named to the 2025 Boston Globe Tech Power Players list for their work in the applied AI sector, reports Hiawatha Bray for The Boston Globe.
Boston Globe reporter Emily Spatz spotlights how a number of key technologies – including the internet and the first widely used electronic navigation system – were developed by MIT researchers with the support of federal funding. The development of the internet has “MIT’s fingerprints all over it,” Prof. John Guttag emphasizes. Prof. David Mindell explains: “Federal funding for these ecosystems has been enormously important over a long time period.” Mindell adds that GPS alone probably “generated more economic value” over a 40-year period than the budgets of the government agencies that helped launch the navigational system.
Prof. Daniela Rus, director of CSAIL, and research affiliate Ramin Hasani have been named to The Boston Globe’s 2025 list of Tech Power Players working in the foundational AI sector, reports Aaron Pressman for The Boston Globe. Rus and Hasani are co-founders of Liquid AI, a startup that has developed “an AI technique with fewer software ‘neurons’ than large language models of OpenAI and others,” explains Pressman. This means “Liquid AI requires less computing power (and electricity.)”
MIT researchers have developed Boltz-2, an AI algorithm “that unites protein folding and prediction of small-molecule binding affinity in one package,” reports Laura Howes for Chemical & Engineering News. “The researchers say their new AI model approaches the level of accuracy achieved by traditional computational chemistry—such as methods involving free-energy perturbation calculations—but much more quickly and cheaply,” explains Howes.
A study by researchers at MIT examines how the use of large language models impacts the human brain, reports Elizabeth Hlavinka for Salon. Research scientist Nataliya Kos'myna says the results “suggest large language models could affect our memory, attention and creativity.”
Researchers at MIT and elsewhere have developed Boltz-2, an open-source generative AI model that can help researchers find new medicines faster, reports Alex Knapp for Forbes. The tool “can not only predict the structure of proteins, it can also predict its binding affinity–that is, how well a potential drug is able to interact with that protein,” explains Knapp. “This is crucial in the early stages of developing a new medicine.”
Postdoc Isabella Loaiza speaks with ABC News reporter Max Zahn about her study examining how jobs and tasks across the U.S. economy shifted between 2016-2024. Loaiza and her colleagues found that “rather than dispense with qualities like critical thinking and empathy, workplace technology heightened the need for workers who exhibit those attributes,” Zahn explains. “It is true we’re seeing AI having an impact on white-collar work instead of more blue-collar work,” says Loaiza. “We found that jobs that are very human-intensive are probably more robust.”
A study by researchers from the MIT AgeLab examines “how to reduce collisions between vehicles and pedestrians,” reports Ed Garsten for Forbes. The research looked at how vehicles and pedestrians “interact and communicate with each other, along with how automated systems and technology affect driver behavior.”
Writing for The Boston Globe, Prof. David Mindell spotlights how “a new wave of industrial companies, many in New England, are leveraging new technologies to create jobs, empower workers, and address climate change.” Mindell notes that “young Americans — new industrialists — are devoting themselves to making things for the common good.” He adds: "The country needs this generation of builders who are excited about working with their hands, about the satisfactions of building the world, and who see that work as building our communities.”
Forbes reporter Michael Nietzel spotlights MIT’s Initiative for New Manufacturing (INM), “an institution-wide effort intended to promote and advance the future of U.S. manufacturing.” Nietzel notes that the INM is part of an effort to “rethink how MIT could help shape the future of manufacturing through workforce training, advanced technologies, and industry collaborations. It will focus on enhancing the future manufacturing capacity and sophistication of several major industries.”
Wall Street Journal reporter Angelina Torre spotlights “Letterlocking: The Hidden History of the Letter,” a new book by MIT Libraries Conservator Jana Dambrogio and King’s College London Senior Lecturer Daniel Smith that explores the history and art of “folding a letter so it serves as its own envelope.” The book “calls on scholars to ‘read the folds’ of written correspondence – to peer into the historical, social or personal circumstances that might not be explicitly stated,” explains Torre.
Lecturer Michael Schrage speaks with Forbes reporter Josipa Majic Predin about the shift towards generative AI in business. "AI should not be seen overwhelmingly as just an ethical or a technical or a digital innovation and platform," says Schrage. "It's actually a philosophical capability and resource."
Writing for The Boston Globe, graduate students Manuj Dhariwal SM '17 and Shruti Dhariwal SM '18 highlight new efforts to reframe the language used to describe the ways humans are interacting with AI technologies. “It is a subtle reframing, but one that we urgently need as AI systems become interwoven with our creative, social, and emotional worlds,” they write. “The point is not necessarily to choose one over the other — but to clearly distinguish one from the other.”