Future of Work
Ideas and insights about the future of work from MIT Sloan.
‘AI gravity’ is pulling you toward dependency. Here’s how to push back
AI systems hold the promise of competitive advantage, but they can usher in cognitive decline among workers, says MIT Sloan School of Management’s Eric So. Learn how to protect cognitive capital.
Heeding the pope’s call to ensure AI protects human dignity
Following Pope Leo XIV’s encyclical on AI, MIT Sloan professor emeritus Thomas A. Kochan argues that firms should partner with workers to ensure AI augments human skills and knowledge.
How AI is reshaping workflows and redefining jobs
New research shows that AI delivers the most value when organizations redesign workflows, not just when they automate individual tasks.
Putting AI to work: The latest from MIT Sloan Management Review
New MIT Sloan Management Review insights cover types of AI startups, using agentic AI tools for knowledge work, and why AI isn't boosting productivity.
3 ways to use AI: Are you a cyborg, a centaur, or a self-automator?
A study of consultants found that employees use generative AI three different ways. Each has different implications for on-the-job learning.
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.
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.
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.
How to boost pro-worker AI in your company
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.