Artificial Intelligence

In his new book, MIT Sloan School of Management’s Paul Cheek argues that companies lose competitive ground when they keep humans in the loop on decisions that AI can make more efficiently.

MIT Sloan’s Bill Aulet and Jenny Larios Berlin explore how founders can combine artificial intelligence with the principles of Disciplined Entrepreneurship to move from concept to market more quickly.

MIT Sloan’s Andrew McAfee said the future of tech-driven companies is young firms on the West Coast — and that Europe will continue to fall behind.

Enterprises must address complex ethical issues surrounding AI or risk exposure to myriad financial, legal, and reputational risks. Here’s a framework to protect your organization.

The rising energy demands of AI and data centers threaten corporate net zero commitments and worsen climate change. But can AI also help develop climate solutions? MIT Sloan researchers investigate.

A new research briefing explains how semantic layers make enterprise data more accessible and understandable by humans and machines.

AI performance is improving across many workplace tasks broadly, not in sudden shocks, new MIT research finds. That cadence gives companies and workers time to prepare for task-level displacements.

Few AI pilots scale successfully. Asking key questions about goals, governance, and culture can help them thrive.

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.