Adversity can cultivate instincts that serve entrepreneurs well, says venture capitalist Noubar Afeyan. Here are his three tips to start innovating.

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.

The academics and researchers joining MIT Sloan in 2024 are experts in economics, management, organizational studies, and more.

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.