MIT Sloan School of Management @MITSloan
Ideas made to matter. mitsloan.mit.edu Cambridge, MA Joined September 2007-
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We asked three new MIT Sloan faculty members what their research or experience has revealed about the intersection between AI and work. Here’s what they had to say. mitsloan.mit.edu/ideas-made-to-…
Will artificial intelligence ruin the planet or save it? MIT Sloan professor John Sterman and Koru Labs president Jennifer Turliuk explore the question in a new paper that offers a framework for evaluating the climate impact of AI. Learn more: bit.ly/4fYsOX2
New faculty members are thinking about how AI can help decision-making, the value of adversarial AI agents, and the skills workers need in the AI era. mitsloan.mit.edu/ideas-made-to-…
Team of economists led by MIT Prof./CS3 faculty affiliate Catherine Wolfram finds that a group of countries could set up a shared #carbon pricing scheme that cuts ~1.5% of global greenhouse gas #emissions & raises nearly $200 billion/year in public money. tinyurl.com/mrxsjxjr
Market research is essentially a prediction problem. According to MIT Sloan’s John Horton, organizations should consider using generative AI to simulate the effects of their decisions before they make them. mitsloan.mit.edu/ideas-made-to-…
Whether artificial intelligence makes jobs better, not just faster, depends on the choices employers make in deploying the technology. mitsloan.mit.edu/ideas-made-to-…
“We predict that AI advisers will really take off in contexts where embarrassing situations are more prevalent and where the models are perceived as being equally or more capable than humans.” — Eric So, MIT Sloan professor mitsloan.mit.edu/ideas-made-to-…
In companies’ rush to capitalize on artificial intelligence, ethics and governance considerations, which can help ensure that AI systems are safe and fair, often take a back seat. MIT Sloan's Jeffrey Saviano and his research team developed a framework to help organizations navigate these challenges: bit.ly/4wDL1hz
At the MIT Initiative on the Digital Economy’s 2026 annual conference, MIT Sloan’s @amcafee argued that 20th-century business strategy doesn’t hold up in an economy dominated by AI and digital services. McAfee offered these three predictions for the future of technology-driven companies. Learn more: bit.ly/4im9apc
Knowledge workers are grappling with what MIT Sloan’s Paul Cheek calls a “split-screen reality”: The “AI-abled elite” move quickly, while others remain burdened by 20th-century decision-making hierarchies and increasingly uncertain career paths. mitsloan.mit.edu/ideas-made-to-…
“Companies might build and test three or four variants of something, but they’re not going to test 700,000. Being able to pre-process and surface problems is really powerful.” — @johnjhorton mitsloan.mit.edu/ideas-made-to-…
AI might help develop technologies to reduce emissions, but those will take years to scale. The bigger issue, researchers say, is indirect: A modest AI-driven boost to economic growth could raise projected warming far more than AI’s own emissions. mitsloan.mit.edu/ideas-made-to-…
Companies that realize returns from AI do so because they change the way they operate, according to MIT Sloan senior lecturer George Westerman. He developed six questions for business leaders to consider when implementing AI: bit.ly/4zcyIvd
In a study, people consistently rated human advisers as more competent than AI advisers when evaluating problem-solving skills across domains that included financial, medical, and career advice. But that situation changed once shame entered the picture. mitsloan.mit.edu/ideas-made-to-…
In companies’ rush to capitalize on artificial intelligence, ethics and governance considerations often take a back seat. mitsloan.mit.edu/ideas-made-to-…
At the MIT Initiative on the Digital Economy’s 2026 annual conference, MIT Sloan’s @amcafee argued that 20th-century business strategy doesn’t hold up in an economy dominated by AI and digital services. McAfee offered these three predictions for the future of technology-driven companies. Learn more: bit.ly/4im9apc
MIT economists @DAcemogluMIT, @davidautor, and @baselinescene offer a framework for understanding how different technologies affect workers. Only new task-creating technologies are “unambiguously pro-worker,” because they create demand for new forms of human expertise rather than make existing expertise less necessary. Learn more: bit.ly/4ezYMa7
Organizations are eager to learn whether artificial intelligence can boost worker productivity. Studies involving software developers, accountants, and manufacturing firms have shown that it can. But that boost doesn’t necessarily translate to final outcomes. mitsloan.mit.edu/ideas-made-to-…
MIT Sloan associate professor @johnjhorton makes the case that large language models can effectively deliver informal market insights that can later be refined through further investigation and more formal research practices. mitsloan.mit.edu/ideas-made-to-…
Capital raised and humans hired are becoming less important metrics for startups, which now gauge success by measuring annual recurring revenue per full-time equivalent employee. mitsloan.mit.edu/ideas-made-to-…
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