Artificial Intelligence

AIDEs have lower overhead, are extremely efficient at product development, require a smaller footprint, and provide increased ownership for founders, according to MIT Sloan’s Paul Cheek.

As AI systems become more capable, companies will need to think beyond individual tools and begin managing AI as a digital colleague — part of how teams, workflows, and business processes operate.

Large language models encourage smart financial behavior, but they fall short on the more subtle aspects of saving and investing, according to MIT Sloan’s Taha Choukhmane and co-authors.

Which AI risks could cause the most harm in the next five years? New MIT research shows that businesses should be aware of threats like competitive pressure and dangerous AI capabilities.

Enterprises looking to make the most of agentic AI will have to rethink how work gets done and how teams are organized, without forgetting the human workers who set their companies apart.

Here’s what businesses need to know as AI agents move from centralized systems toward a decentralized network of trillions of personal and organizational agents.

Transformative technologies like artificial intelligence succeed when societies make parallel social investments to ensure gains are distributed equitably, MIT Sloan researchers find.

Debiased machine learning, the currency of invoicing, and training good models with bad data: Meet the new experts bringing their knowledge and skill sets to the MIT Sloan School of Management.

Three levers — data architecture, data preparation, and data permissions — determine whether data becomes a reusable strategic asset or stays trapped in silos.

Artificial intelligence can make workers more capable and productive, but only if leaders design and deploy it to augment human judgment.