U.S. manufacturing productivity remains flat despite an uptick in new factory and workforce growth in recent years. MIT experts suggest three solutions.
Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.
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.
A new book by MIT Sloan professor Emilio J. Castilla offers managers and leaders a practical, data-driven roadmap for building fairer and more effective talent management systems.
Software developers with access to a generative AI tool do more coding and less project management, according to a new study.
Sound economic planning and policymaking requires trustworthy data. Private data can serve as a complement but not fully replace official U.S. statistics.
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.
Whether you use the Nine Box system or another assessment tool, new research suggests it’s time to rethink how you rate and track potential.
Tech leaders share simple tips for setting priorities, learning new things, and snacking better.
An MIT engineering professor and a business strategist debate.
