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Ideas Made to Matter

Artificial Intelligence

The top 10 MIT Sloan Ideas Made to Matter articles of 2025

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Is it any surprise that people were reading about artificial intelligence in 2025?

Nine of the 10 articles on our list of the past year’s top articles focus on how AI is changing work and how we work, from the macro — predictions about how AI will affect the U.S. economy in the next decade — to more specific guidance about when to use machine learning, when to use generative AI, and when the two pair well together.

Sneaking in at number 10, we’ve got a look at a new report on the state of quantum computing, a field where patenting has been increasing steadily.

  1. MIT Institute Professor and Nobel laureate Daron Acemoglu predicts that artificial intelligence will have a “nontrivial, but modest” effect on GDP in the next decade.
  2. Is your company experimenting with artificial intelligence, or are you “AI future-ready”? A model from the MIT Center for Information Systems Research maps four stages of enterprise AI maturity.
  3. AI workloads have sent data center emissions skyrocketing. MIT senior scientist Vijay Gadepally details ways to reduce energy use and promote sustainable AI.
  4. The combination of AI and human workers holds the most promise for tasks that humans currently perform better than AI and those that involve creating content, according to work by MIT Sloan’s Thomas Malone and Abdullah Almaatouq.
  5. While generative AI is widely accessible and useful, businesses need to know when to use other AI tools, like traditional machine learning. MIT Sloan’s Swati Gupta and Rama Ramakrishnan offer guidance.
  6. An update to a 2024 article examines how AI-enabled advisers guide users through the 24-step Disciplined Entrepreneurship process developed by professor of the practice Bill Aulet and long used by MIT students to launch new ventures.
  7. In a study of accountants by MIT Sloan assistant professor Chloe Xie, the most experienced used AI strategically to boost performance gains.
  8. The work tasks that AI is least likely to replace are those that depend on uniquely human capacities, such as empathy, judgment, ethics, and hope, according to research conducted by MIT Sloan’s Roberto Rigobon and Isabella Loaiza.
  9. A new study from MIT Sloan associate professor Lawrence Schmidt found that AI adoption leads to increased company growth, and that exposure to AI is greatest in higher-paying roles that involve information processing and analysis.
  10. The “Quantum Index Report 2025” from the MIT Initiative on the Digital Economy and Accenture offers a comprehensive assessment of the technology and the global landscape, from patents to the quantum workforce.
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