Labor

Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.

In the short term, artificial intelligence systems may be too costly to use for most tasks.

A new metric — ‘employment carbon footprint’ — can better help determine the U.S. counties most vulnerable to economic disruption from decarbonization.

A new study finds that artificial intelligence has been adopted unevenly in the U.S., with use clustered in large companies, industries such as manufacturing and health care, and certain cities.

In new policy briefs, MIT researchers outline how to regulate large language models, label AI-generated content, and pursue “pro-worker AI.”

MIT’s Daron Acemoglu, David Autor, and Simon Johnson make the case for federal policies to encourage the development of AI that complements workers.

This Hot Labor Summer, workers are demanding not just increased wages, but what labor expert Thomas Kochan calls “a new social contract.”

Generative artificial intelligence is a game changer, but it’s not for every task. Here are four ideas to consider from an MIT labor economist.

Government statistics often undercount how many people are working remotely, according to a new study.

Less-experienced contact center agents become more productive with assistance from generative artificial intelligence, a new study finds.