Three steps to finding use cases for large language models: Break down workflows into tasks, consider all costs associated with automation, and launch pilots.

The work tasks that AI is least likely to replace are those that depend on uniquely human capacities, such as empathy, judgment, ethics, and hope.

A new study from the MIT Sloan School of Management sheds light on a puzzling paradox: Despite AI’s growing accuracy and efficiency, people often prefer human decisions—even when AI performs better.

Ten books with a fresh look at data monetization, DEI practices, disciplined entrepreneurship, and more.

Keeping your technology workforce operating at peak performance is critical to digital business success. Here’s how to motivate and manage tech workers.

New research ranges from how AI agents negotiate to how “personality pairing” can optimize human-AI collaboration.

MIT Sloan climate expert John Sterman spells out the actions businesses can take to mitigate the economic and ecological harms of global warming.

A new book aims to help business leaders separate real AI value from overhyped claims.

Does generative AI actually enhance creativity in the workplace? The answer is yes — but only for employees who have strong metacognitive strategies, according to new research from Jackson Lu.

Two economists offer a framework for thinking about the place of values in the decisions of modern life.