Artificial Intelligence

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.

The AI hiring revolution doesn’t have to be a story of automated bias, argues MIT Sloan’s Emilio J. Castilla. Tough questions and constant monitoring can lead to fairer systems.

These insights from business leaders, scholars, and scientists captured the business mood in 2025.

The year’s most popular terms find us reassessing merit, rejiggering professional and geopolitical networks, and reevaluating how and when we bring AI into the office.

They’re nearly all about artificial intelligence, with a guest appearance from quantum computing.

New books this year cover ecosystems, entrepreneurship, dynamic work design, and the paradox of meritocracy.

Three AI implementation guides from MIT provide research-based insights on AI maturity, which AI tool to use, and the human capabilities that will be even more essential in the future.

A study found that trained LLMs can identify what customers want as well as expert market reach analysts, who are freed up to apply their expertise to high-leverage tasks.

We are in the fourth wave of artificial intelligence. In his new book, Alex Pentland says understanding AI from the 1960s, 1980s, and 2000s can help us develop technology that supports shared wisdom.