Ideas
Made to
Matter

MIT Sloan’s Gary Gensler and Peter R. Fisher advise investors to develop an AI investment thesis and avoid overconfident investing during policy pivots.

A new report from MIT Sloan collects three resources to support long-term decision making: A climate solutions simulator, a guide to systemic investing, and a white paper on sustainable building.

A study of consultants found that employees use generative AI three different ways. Each has different implications for on-the-job learning.

As AI systems shape more decisions, some individuals and businesses are left out entirely. New research highlights how data gaps create hidden risks for organizations.

Here’s how aircraft noise at major airports in Boston, Chicago, and Seattle affected housing prices.

New research can help business leaders identify and address AI components that introduce risk, such as training data, foundation models, and user prompts.

Sound economic planning and policymaking requires trustworthy data. Private data can serve as a complement but not fully replace official U.S. statistics.

Software developers with access to a generative AI tool do more coding and less project management, according to a new study.

The new Question Burst Catalyst tool from MIT Sloan’s Hal Gregersen helps leaders use LLMs as a creative thought partner to help surface ideas that truly matter.

AI industry watchers Thomas Davenport and Randy Bean expect the AI hype cycle to slow as organizations focus on infrastructure and strategy.