One Useful Thing
Trying to understand the implications of AI for work, education, and life. By Prof. Ethan Mollick
- Indexed issues, last 90 days
- 3
- Latest publication
- Sep 18, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 23, 2026
Latest issues
The Overhang (opens the original)
Read excerpt
We are still on an exponential curve of AI development. I try to put out a Substack post every couple weeks or so, yet, as the pace speeds up, that sometimes feels too slow. In the weeks since my last post, we had the apparent cracking of one of the most famous problems in math by an AI (accompanied by controversy) and widespread discussions about the risks posed by AI and what to do about it (also accompanied by controversy). I think these concerns, along with a mounting set of other worries, c
Agency and Agents (opens the original)
Read excerpt
Agency is the initiative to act. Increasingly, it is going to determine what happens next with AI, and whether that is good or bad for us. But whose agency?Human agency, the willingness to push, experiment and act without waiting for instructions, seems increasingly important to getting value out of AI, and I have a longer post on that coming soon. But this post is about the agency of AI, and how the choices we make about how to use it (or constrain it) will shape all of our futures. For much of
An opinionated guide to which AI to use to do stuff (opens the original)
Read excerpt
Every few months, I write a guide for people who want to use AI to do stuff. This time, a lot has changed, in part because what it means to “use AI to do stuff” encompasses so much more “stuff” than it used to. Until recently, using AI meant talking to a model through a chatbot in a constant back-and-forth conversation. Now, it means using an agentic system, where the AI is capable of doing the equivalent of many hours of real human work in one go by combining the brains of an AI model with a se
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
No verified audience measurement yet.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.