A successful management system requires a developmental mindset, social circuitry, and a leader who prioritizes creativity.

To succeed with generative artificial intelligence and extended reality, companies should also harness human creativity, curiosity, and compassion.

The late MIT Sloan professor’s novel approach to customer bonding is still used in corporate strategies today.

Knowing how to evaluate AI tools, manage data effectively, and share data strategically will help leaders see the results from their AI investments.

Engineering organizations can take a page from the art world and embrace curation concepts.

Prepare early, cater presentations to reach different audiences, and tell compelling stories.

Hybrid work offers flexibility and opportunity, but without clear expectations and employee resources, managers risk a divided and disadvantaged workforce.

Fact-checker warnings work and are broadly popular, and other insights about social media moderation from an MIT expert.

New MIT Sloan research offers a framework of human-intensive capabilities and a set of metrics to evaluate tasks across all occupations and better understand the effects of AI on the labor market.

Colgate-Palmolive, Sanofi, and other firms are making generative AI work for them in ways both big and (intentionally) small.