Artificial intelligence

In a study examining the impact of AI tools on software development, researchers from MIT and Wharton examined the work of more than 100,000 developers and found a significant gap between what AI tools generate and the amount of software delivered to companies. Writing for Quartz, reporter Anthony Lopopolo notes: “The upshot [of the research] is that AI and human effort aren't substitutes at any stage beyond raw code generation. You can't replace reviewing, testing, and release management with more lines of code.”

For The Atlantic, reporter Rogé Karma describes how Prof. David Autor and Principal Research Scientist Neil Thompson found a basic pattern for technological changes and job displacement based on the evolution of inventory clerk versus accounting clerk positions. “The story is almost never as simple as: We’re in a race with machines and machines will win,” says Autor. “What matters for a given profession is whether technology enhances a worker’s expertise or commodifies that expertise.”

Boston Globe reporter Aaron Pressman spotlights MIT startup Liquid AI, along with the various AI efforts underway at MIT as part of The Globe’s 2026 Tech Power Players special section. Pressman notes that: “President Sally Kornbluth is reinvigorating the school’s support of the local innovation ecosystem, unveiling new online classes dedicated to AI — with free entry-level classes for anyone — and encouraging more entrepreneurship on campus.” 

Honorees on The Boston Globe’s 2026 Tech Power Players list shared their reasons for having optimism about the future of the Greater Boston area’s tech and innovation scene. President Sally Kornbluth says opportunities abound in what she calls “AI + X” — integrating AI into fields such as manufacturing, life sciences, and energy. “Massachusetts can absolutely lead in this next wave,” says Kornbluth. 

Boston Globe reporter Robert Weisman spotlights how MIT is “working to drive artificial intelligence forward in sectors where the region is strongest, from biotechnology and robotics to defense and clean energy. It’s also trying to broaden entrepreneurship through a ‘dorm-to-startup’ push, creating a pipeline of support services — from hack-a-thons to venture funding — to help students to start companies between classes.” 

Prof. Daron Acemoglu joins New York Times reporter Bill Wasik for a panel discussion about the impact of AI on job security and its potential to supplement work. “The current view is that somehow [AI] agents are going to do a lot of the work and we just need to supervise them,” says Acemoglu. “I find that very unrealistic. But if it was realistic, it would be a horrible thing.”

Associated Press reporter Rodrique Ngowi visits MIT to learn about how researchers in Prof. Xuanhe Zhao’s lab developed an ultrasound wristband that gathers data on human hand motions as part of an effort to help train humanoid robots to undertake complex tasks, from housework to surgery. “Imagine people doing housework,” says Zhao. “We can use the data obtained by our system to train a robot to do exactly (that) housework with this dexterous hand motion.” 

Nature reporter Jyoti Madhusoodanan features Prof. Regina Barzilay and Prof. James Collin’s work developing AI tools aimed at accelerating the process of drug discovery and tackling the growing problem of antibiotic resistance. Barzilay notes that the goal of AI-based drug design is not to have the perfect method, but to find working solutions to the antibiotic-resistance crisis. “To me, the art is really in taking the tools we currently have, which are already doing quite a bit, and translating them into something which is useful in clinic,” she explains. 

Wall Street Journal reporter Gary Rivlin speaks with Prof. Daron Acemoglu about the growing use of AI in the business world. “Whether you’re a CEO, a manager, a journalist, a professor or a construction worker, I see your skills as beyond what AI can perform,” says Acemoglu. 

Financial Times reporter John Burn-Murdoch highlights a new study by Prof. Mert Demirer and colleagues that examines productivity levels among software developers work before and after they adopted AI tools. Burn-Murdoch notes the paper found that “AI delivers big productivity boosts for low-level tasks, but these translate into much smaller gains for final products.” 

During her OneMIT Commencement address, Lisa Su 90, SM ’91, PhD ’94, Advanced Micro Devices CEO, shared her views on the critical role humans should play in the development and use of AI technologies, reports Courtney Connley-Hampton for Forbes. “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,” Su emphasized. “Technology itself does not decide what the future looks like—the best people do.”

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.”