The top 10 MIT Sloan articles of 2024

Zach Church

Dec 3, 2024

Why It Matters

Once again, AI was everywhere. But research about federal spending leads the list.

For the second year in a row, research and actionable ideas about artificial intelligence made up the bulk of our most-read articles. But a piece on federal spending took the top spot. Here are the most popular stories published by MIT Sloan’s Ideas Made to Matter this year.

Increased federal spending helped the economy bounce back during the pandemic, but it also caused a surge in inflation, research from MIT Sloan senior lecturer Mark Kritzman showed.
MIT researchers, including MIT Sloan research scientist Neil Thompson, created a framework to help businesses anticipate when quantum computing might be useful — and when it might not.
Additional educational requirements for CPAs have dampened interest from new applicants, especially minority candidates, new research from MIT Sloan associate professor Andrew Sutherland found.
Are you ready for “AI as a co-founder”? Ethan Mollick, SM ’04, PhD ’10, explained how entrepreneurs can use generative AI to their advantage.
A new study from Kristina McElheran, a visiting scholar with the MIT Initiative on the Digital Economy, found that artificial intelligence is being adopted unevenly in the U.S., with use clustered in large companies and industries such as manufacturing and health care.
A framework based on a “red light, yellow light, green light” approach can help companies streamline AI governance and decision-making.
New books released this year include a retirement how-to, the reissue of a classic entrepreneurship guide, and a look back at the California energy crisis.
Many people seeking tailored investment advice engage with a certified financial adviser. Generative AI has the potential to upend that dynamic, according to MIT Sloan professor Andrew Lo.
Artificial intelligence can address many logistics and supply chain challenges, including vehicle routing.
When software developers were given access to an AI coding tool, productivity increased — particularly among newer h ires and more junior employees, according to research from MIT Sloan assistant professor Mert Demirer.