Artificial Intelligence

The new Question Burst Catalyst tool from MIT Sloan’s Hal Gregersen helps leaders use LLMs as a creative thought partner to help surface ideas that truly matter.

AI industry watchers Thomas Davenport and Randy Bean expect the AI hype cycle to slow as organizations focus on infrastructure and strategy.

David Autor and Neil Thompson on the importance of using AI tools to collaborate with humans and the nuances of how AI affects productivity and replaces workers.

Learn how Spondi founder Jarret Heflin identified a highly motivated customer base by using the MIT Entrepreneurship JetPack digital adviser.

New research provides insights for using AI agents in clinical settings.

U.S. manufacturing productivity remains flat despite an uptick in new factory and workforce growth in recent years. MIT experts suggest three solutions.

The age of agentic AI — systems that are semi- or fully autonomous and can act on their own — has arrived. Here’s what you need to know, according to MIT experts.

Stagnant productivity, a tightening workforce, and rising global competition are reprioritizing manufacturing in the U.S. What’s needed: new production models.

As AI capabilities advance, the window for shaping whether the technology augments or replaces workers is narrowing. Decision makers need to step up, MIT researchers say.

Creativity and clean data are at the core of successful artificial intelligence implementations, according to the CFOs of Shopify and Arm Holdings.