MIT Sloan School of Management

President Sally Kornbluth joins Sloan Senior Lecturer Brian Halligan MBA ’05 on his podcast “Long Strange Trip: CEO to CEO” to chat leadership strategies, AI and education, and MIT's approach to preparing students for life after college. “People talk to me, alums talk to me about how MIT changed their lives. It's not because of some particular class or some particular skill they acquired. It’s the whole environment,” Kornbluth notes. She adds that when it comes to educating students, at MIT "we want them to have the kind of knowledge base and ability to navigate the world that will enable them to do anything they want to do.”

Jennifer Eagen of WCVB-TV highlights MIT Space Week, an annual series of events across MIT focused on space exploration and the space industry. Eagan notes that one of the themes for this year’s event is the space economy. "Having humans land on the moon, having built a base on the moon, learning how to operate there so eventually we can go to Mars," said keynote speaker Terry Virts, former commander of the International Space Station. "I would love to see all those things happen that would be a huge success for America and for the world, for all of humanity."

Writing for WBUR, MIT Profs. Christopher Knittel, Catherine Wolfram and UCLA Prof. Kimberly Clausing break down the cost of climate change for the average American household, which is about $900 each year. “Climate inaction isn’t just an environmental failure, it’s a sizable part of America’s affordability problem,” they write. “Recognizing this may finally make climate action something voters can rally behind.”

Prof. Andrew Lo speaks with CNBC reporter Greg Iacurci about using AI systems for financial planning and advice. “The problem that we have to solve is not whether AI has enough expertise. The answer right now is, clearly, AI has the [financial] expertise,” says Lo. “What they don’t have is that fiduciary duty. They don’t have the ability to suffer consequences if they make a mistake to the same degree that a human advisor does.”

Prof. Sinan Aral joins CNBC’s “Squawk Box” to discuss the state of AI data center construction across the U.S. and the impact of new AI technologies on the power grid. “Data center and compute demand is so large and growing,” says Aral. He adds that hybrid models that “combine the benefit of connecting to the [power] grid with the benefit of an energy island model, where you have onsite storage of energy, you have battery and you have onsite generation to offload during peak times. The hybrid model is really good because it gets the best of both worlds.” 

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.”

Prof. Christopher Knittel speaks with Associated Press reporter Paul Wiseman about the economic impact of the U.S. conflict with Iran. “A week ago or certainly two weeks ago, I would have said: If the war stopped that day, the long-term implications would be pretty small,’’ says Knittel. “But what we’re seeing is infrastructure actually being destroyed, which means the ramifications of this war are going to be long-lived.’’

Prof. Catherine Wolfram speaks with Boston Globe reporter Joshua Miller about the impact of the conflict in Iran on oil and gas prices. “There’s something that economists call the rockets and feathers phenomenon: When oil prices go up, gasoline prices go up like a rocket,” explains Wolfram. “They kind of match. But then when oil prices come back down, gasoline prices float down like a feather. They don’t go down as fast.” 

Researchers at MIT and elsewhere have found that “one in five couples could boost retirement savings by reallocating contributions,” reports Caroline Castrollon for Forbes. “There are pretty large gains to coordinating your finances,” explains Prof. Taha Choukhmane. “We find that couples leave quite a lot of money on the table every year.”

According to the 2026 QS World University Rankings, MIT has been earned a No. 1 global ranking in 12 subject areas, including chemical engineering; chemistry; civil and structural engineering; computer science and information systems; data science and artificial intelligence; electrical and electronic engineering; engineering and technology; linguistics; materials science; mechanical, aeronautical, and manufacturing engineering; mathematics; and physics and astronomy, reports Michael T. Nietzel for Forbes.

Prof. John Horton speaks with CNN reporter Harmeet Kaur about the use of the world “agentic” in describing AI. “My sense is that it’s a word that’s useful to describe software that acts a bit more like a person does,” says Horton. 

Writing for The Boston Globe, Prof. Christopher Knittel and graduate student Fischer Espiritu Argosino make the case that in Massachusetts the “current compensation structure for the electricity produced by solar panels turns a climate solution into an inequitable cost shift that burdens many residents.” They add: “The state needs to prioritize large-scale wind and solar deployment and fix how residential solar exporters are compensated…. Massachusetts has long been a clean-energy leader. It can remain one by showing that decarbonization and affordability can go hand in hand.”

Writing for Forbes, Senior Lecturer Guadalupe Hayes-Mota 08, SM '16, MBA '16 explores how businesses can best prepare for the rapid advancements underway in the field of neurotechnology. “I believe that one of the most important steps companies can take regarding this emerging technology is to act now, without waiting for regulatory clarity first,” writes Hayes-Mota. “Treat neural data as categorically sensitive from day one—not because you are forced to, but because you understand that operating this close to the human mind demands a higher threshold of trust than almost any technology before it.” 

Writing for the Financial Times, Prof. Danielle Li examines the risks for highly skilled workers whose expertise is used as training data for AI systems. “As workers, people should think about how to use AI to expand their skills: whether by building complementary capabilities or by finding ways to scale their expertise through AI systems,” Li writes. “As citizens, they should press for policies that give workers clearer rights over the data generated by their work and compensation for it.” 

Visiting Senior Lecturer Paul McDonagh-Smith speaks with Newsweek reporter Adam Mills about how AI implementation across organizations can have impacts on business oversight and governance. “The organizations I’ve seen moving fastest have built governance systems early enough that they become a permission structure, rather than a constraint,” says McDonagh-Smith.