Hiring
Ideas and insights about hiring from MIT Sloan.
Where to look for generative AI risks
New research can help business leaders identify and address AI components that introduce risk, such as training data, foundation models, and user prompts.
What happens when US economic data becomes unreliable
Sound economic planning and policymaking requires trustworthy data. Private data can serve as a complement but not fully replace official U.S. statistics.
Generative AI changes how employees spend their time
Software developers with access to a generative AI tool do more coding and less project management, according to a new study.
Use this AI tool to ask better questions, get more authentic results
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.
Action items for AI decision makers in 2026
AI industry watchers Thomas Davenport and Randy Bean expect the AI hype cycle to slow as organizations focus on infrastructure and strategy.
What 2 MIT experts are thinking about AI and work
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.
‘This AI tool helped me define a target customer for my startup’
Learn how Spondi founder Jarret Heflin identified a highly motivated customer base by using the MIT Entrepreneurship JetPack digital adviser.
5 ‘heavy lifts’ of deploying AI agents
New research provides insights for using AI agents in clinical settings.
Future manufacturing: How to solve the US productivity paradox
U.S. manufacturing productivity remains flat despite an uptick in new factory and workforce growth in recent years. MIT experts suggest three solutions.
Agentic AI, explained
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.