Ethan Mollick · Sep 18, 2026
Use the overhang with knowledge, taste, and agency
Markdown · JSON · Original source
Mollick says people should stop treating capability as only a future problem. He says current models already do weeks of guided work, and the human role that still matters is deep knowledge, wide knowledge, taste, and agency.
Headline and sourced paraphrase by Escape Meridian. Inclusion is not endorsement.
Original source
One Useful Thing · Author essay
Original source date: Sep 18, 2026 (2026-09-18).
Date basis: JSON-LD datePublished 2026-09-18T17:54:32Z on the fetched page.
Essay HTML fetched 2026-09-23. Selected paragraphs read. Demos and the embedded PDF were not fetched.
The date this reading was added to Escape Meridian is not recorded.
Limits
One author's paid account and chosen projects. Model names and dates will move.
Editorial test, not a stated concession
If unaided follow-up work got worse as these tools were used, or if the demos failed when someone else repeated the prompts, the practical advice would need to shrink.
supports
You are not trying to compete with AI in producing outputs, that is a losing game.
qualifies
He reports personal trials, including a Zork reconstruction and a book trailer, as illustrations. Those trials are not a controlled study.
Source and contributor context
Ethan Mollick · Author of the One Useful Thing essay
Writes from trials of current models on his own projects, including a book trailer and reconstructions.
This is his reading of present tools. It is not a labor-market measurement or a safety evaluation.
Declared interests are limited to the records linked here; absence of a record does not establish absence of an interest.
Assumptions
Editorial reconstruction: a vivid personal demo can show possibility without showing typical outcomes.
Source media
Media retrieval status: found.
Questions between perspectives
Editorial comparison; no direct exchange established: Does using today's models for long tasks leave the practice that his earlier essay said learning requires?
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
Ethan Mollick
Ethan Mollick is a Wharton researcher and author exploring how AI changes work, learning and decision-making.
One Useful Thing
One Useful Thing is Ethan Mollick’s publication about AI in work, education and everyday practice.
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