NPR reporter Jeff Brady spotlights a study by Prof. Jessika Trancik and Marco Miotti PhD ’20 that found “across most of the U.S., electric vehicles are cost-competitive with their gas counterparts. And it found that in most locations, EVs also reduce emissions between 40% and 60%.”
A study co-authored by Prof. Michiel Bakker finds that use of AI tools can impact cognitive function and problem-solving abilities in a relatively short period of time, reports Rob Taub for NewsNation. “We show that just 10–15 minutes of AI interaction can result in significant impairments in independent performance and persistence — capacities that are foundational to lifelong learning,” the researchers explain. “If brief exposure produces measurable erosion, the cumulative effects of daily AI use over months or years may be profound and difficult to reverse.”
Prof. Emeritus Paul Osterman speaks with Fortune reporter Marco Quiroz-Gutierrez about how a number of company layoff announcements recently have blamed the introduction of AI technologies for staff reductions. He notes that some layoffs are also likely tied to the increasing number of contract, gig and temporary workers used by employers, who can be cut at any moment. “We created a stable employment system of high wages and shared prosperity in the past,” he said. “That’s what we should be thinking about doing now.”
Fortune reporter Preston Fore spotlights Lisa Su ’90, SM ’91, PhD ’94, Advanced Micro Devices CEO, who was named to Fortune’s “2026 Most Powerful Women” list. “After immigrating from Taiwan to the U.S. with her family at a young age, Lisa Su spent her early years fascinated by technology. She studied electrical engineering at the Massachusetts Institute of Technology, obtaining her bachelor’s and PhD focused on semiconductors,” writes Fore. Since being named president of AMD in 2014, Su has “led the company to the forefront of computing and the AI revolution.”
In her address to the Class of 2026 during the OneMIT Commencement Ceremony, Lisa Su ’90, SM ’91, PhD ’94, Advanced Micro Devices CEO, emphasized that “the world does not just need people who know how to use powerful tools, it needs people who know what to use them for, people with a sense of purpose, judgment, courage.” She added: “For everything that AI can do, AI can’t decide which problems are worth solving. It can’t make the hard judgments when the data is not there. It can’t take responsibility for the outcomes. These are actually our responsibilities, and they matter now more than ever.”
Washington Post reporter Kevin Schaul examines the impact of AI on a number of fields, highlighting a recent study co-authored by graduate student Anand Shah that found that over the past few years there appears to have been an increase in self-represented and AI-generated legal filings. “Every system that has decreased cost to entry from AI should expect increased demand,” says Shah.
Prof. Taha Choukhmane co-authored a new study examining how Americans are using AI in their financial planning and found that “AI consistently gave better advice to people who asked better questions,” reports Daniel de Visé for USA Today. “It might be that AI is going to be a little more useful for people who already know a little bit about finance and financial literacy,” Choukhmane explains.
Prof. Sinan Aral speaks with Fast Company reporter Natalie Nixon about the risks of offloading creative work to AI systems. In one study, Aral and his colleagues found that with more creative work outsourced to AI, there was a resulting “slow homogenization of output that occurs when AI, trained on the same publicly available internet, starts flattening the edges that make creative work distinctive.” In another study, Aral’s team found, “cognitive offloading to AI (the act of outsourcing tasks you could do yourself) erodes the very skills you’re handing off.”
Profs. Elisabeth Reynolds and Simon Johnson joined Tom Keene and Paul Sweeney on Bloomberg Surveillance to discuss their new book, "Priority Technologies: Ensuring U.S. Security and Shared Prosperity," which highlights six key areas where advances in technology can drive the U.S. economy and support national security. “Quantum is the next frontier and opens up billions of dollars of opportunity,” says Reynolds. “Not just for defense and encryption issues, but also across all sorts of applications in financial services and biopharma.”
New research co-authored by Prof. Michiel Bakker examines the impact of using AI tools on an individual’s ability to solve a set of math problems, writes Jude Cramer for Fast Company. The researchers found that participants “who asked the AI for direct solutions saw the largest decline in solve rate and the largest increase in skip rate.”
In an interview with CNN reporter Madeline Holcombe, Prof. Sherry Turkle shares her views on AI tools and companionship, and how AI chatbots can impact social connection and isolation. “Intimacy requires vulnerability — there is no intimacy without vulnerability,” says Turkle. “What AI offers is connection without vulnerability. You are not getting a sustaining form of intimacy and connection. You are getting a non-nourishing combination that may give the sense of a quick fix, but is not sustaining.”
Fortune reporter Preston Fore spotlights Principal Research Scientist Andrew McAfee’s remarks warning against using AI technologies to replace entry level jobs. “How else are people going to learn to do the job except via on-the-job learning and training apprenticeship?” said McAfee. “That’s how you learn to do difficult knowledge work is by helping somebody who’s good at that with the routine stuff. And when we put too much automation in that too quickly, we lose that apprenticeship ladder.”
Prof. Daron Acemoglu joins Slate’s “Money Talks” podcast to explain his research into pro-worker technologies and how we can not only avoid the AI job apocalypse but also improve workers’ lives by shifting the goal of AI from automation to collaboration. “Artificial intelligence is quite different than human intelligence,” says Acemoglu. “And when two things are different, a natural way to combine them is in a complimentary way.”
A new working paper by researchers from MIT FutureTech finds that “AI’s march through the labor market looks far less like a sudden catastrophe and far more like a slow, rising flood — serious and accelerating, but not the overnight apocalypse that has dominated headlines and executive anxiety for the past two years,” writes Nick Lichtenberg for Fortune. “Rather than arriving in crashing waves that transform a certain set of tasks at a time,” the researchers write, “progress typically resembles a rising tide, with widespread gains across many tasks simultaneously.”
Two new studies from researchers at MIT and elsewhere have described “the machine-learning algorithms they developed to screen bacterial genomes and identify proteins that are involved in protecting the microorganisms against viral invaders,” reports Miryam Naddaf for Nature. “There’s a hope that maybe there’s a next generation of molecular tools that would come from some of these new systems,” says Prof. Michael Laub.