Strategy

The AI Decision Matrix uses ambiguity and risk to determine the optimal decision-making structure between humans and AI automation.

In today’s AI-driven environment, robust data monetization capabilities are both a competitive advantage and a precondition for success, research from the MIT Sloan School of Management finds.

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.

In MIT’s international AI Negotiation Competition, “warmer” agents achieved better outcomes in negotiations with other AI agents.

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.

Here are six titles connected to the MIT Sloan School of Management covering topics such as economic strategy, entrepreneurship, talent management, and cultural evolution in the age of AI.

Organizations are struggling to succeed with AI. Research from the MIT Center for Information Systems Research shows common mistakes and how to overcome them.

Entrepreneurs should develop solutions that connect climate to reliable energy, economic growth, and competitiveness, argue MIT Sloan’s Ben Soltoff and Greentown Labs’ Georgina Campbell Flatter.

A new MIT Sloan executive education course looks at how organizations need to align “the work, the workforce, and the workplace” to succeed with artificial intelligence.

A new MIT Sloan executive education course led by professor Andrew W. Lo explores machine reasoning, quantamental investing, AI governance, and more.