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Experts in artificial intelligence from MIT Sloan are keeping an eye on the human-LLM accuracy gap, AI guardrails, and other trends.

Open-source and open-weight AI models perform well and cost less — but users opt for closed models 80% of the time, according to new research.

As businesses adopt AI, they need to rethink how they make money. Understanding these four new business models is a place to start.

Learn how the MIT Entrepreneurship JetPack digital adviser guided health tech startup Femmli through a detailed approach to market segmentation.

AI really can pay off. But leaders must take a systematic approach, understand how the technology works, and let their team leaders determine how it’s used.

A new report from Sloan Management Review and BCG identifies four tensions that organizations must manage when rolling out agentic artificial intelligence.

Generative AI can help people lose weight, but it can’t replace the benefits of having a community of support, research from MIT Sloan shows.

With technology and policy developments roiling finance, it’s a good time to revisit the fundamentals. Here are 10 core concepts from MIT Sloan Nobel laureate Robert C. Merton and co-authors.

Organizations see success by starting with smaller AI transformations. Aiming for incremental value builds a foundation for sustainable results.

To realize the greatest gains from artificial intelligence, we must make the future of work more human, not less.