MIT Sloan School of Management

09/09/2026

Welcome (back) to campus, MIT Sloan students! A new year means new ideas, new challenges, and new ways to make an impact. MIT Sloan is bringing together today's brightest minds to invent the future for all of us.

09/09/2026

Historically, workers have executed processes manually. Now, they are increasingly finding themselves in a new role: human in the loop, overseeing and analyzing the work that generative AI carries out.

A report from the MIT Working Group on Generative AI & the Work of the Future identifies three principles and seven outcomes that ensure that jobs are better, not just faster, with AI.

09/09/2026

At the MIT Initiative on the Digital Economy’s 2026 annual conference, MIT Sloan’s Andrew McAfee 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: https://bit.ly/4h3iexk

09/08/2026

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.

Market research is essentially a prediction problem. MIT Sloan’s John Horton says organizations should consider using generative AI to simulate the effects of their decisions before they make them.

09/08/2026

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.

Professional service advisers are seen as more capable than AI — but that advantage fades when clients feel ashamed. An MIT Sloan study shows when people prefer AI’s nonjudgmental assistance.

09/07/2026

In the last century, organizations were designed around the limits of human communication. As AI makes faster decision-making a possibility, will those that insist on keeping humans in the loop fall behind?

In his new book, MIT Sloan School of Management’s Paul Cheek argues that companies lose competitive ground when they keep humans in the loop on decisions that AI can make more efficiently.

09/07/2026

MIT Sloan professor of the practice Bill Aulet sees AI as an increasingly essential tool in the entrepreneurial arsenal, not something to fear. AI can help founders sharpen their judgment, develop products, test hypotheses, research markets, and experiment — lowering the barrier to starting a company.

MIT Sloan’s Bill Aulet and Jenny Larios Berlin explore how founders can combine artificial intelligence with the principles of Disciplined Entrepreneurship to move from concept to market more quickly.

09/06/2026

A recent paper co-authored by three professors from MIT Sloan — Michelle Hanlon, Namrata Kala, and Nemit Shroff — shows that giving people the opportunity to trade energy stocks improved their financial literacy and their knowledge of companies’ environmental impact.

Even on a small scall, the opportunity to trade energy stocks can boost financial literacy and motivate people to learn more about climate change, MIT Sloan research finds.

09/06/2026

Organizations that succeed in the 21st century are agile and innovate quickly. According to MIT Sloan’s Andrew McAfee, the future of tech-driven companies is young U.S. firms on the West Coast.

MIT Sloan’s Andrew McAfee said the future of tech-driven companies is young firms on the West Coast — and that Europe will continue to fall behind.

09/05/2026

Will artificial intelligence ruin the planet or save it? MIT Sloan professor John Sterman and Koru Labs president Jennifer Turliuk, a 2025 graduate of the MIT Sloan Fellows program, explore the question in a new paper that offers a framework for evaluating the climate impact of AI.

Some of their findings:

• AI and data centers cause roughly 0.5% of global CO₂ emissions today — a small but growing share that worsens climate change.
• AI might help develop technologies to reduce emissions, but even promising innovations will take years to move from the lab to real-world scale.
• The bigger issue, the researchers say, is indirect: A modest AI-driven boost to economic growth could raise projected warming far more than AI’s own emissions — what’s known as an “indirect rebound effect.”

“Unless we implement policies and actions that rapidly lower emissions across the economy as a whole, any economic boost from AI will generate a lot more emissions, and the climate will get notably worse,” Sterman said.

Learn more: https://bit.ly/4fYssja