Associate professor of management at Wharton
Ethan Mollick
Ethan Mollick is a Wharton professor who studies AI's effects on work and education, co-directs its Generative AI Labs, and wrote Co-Intelligence.
About Ethan Mollick
Ethan Mollick is an associate professor of management at the Wharton School of the University of Pennsylvania. His research examines how artificial intelligence affects work, entrepreneurship, and education. He also co-directs the Generative AI Labs at Wharton, which conduct research and build prototypes.
He writes about practical uses of AI for a general audience and is the author of Co-Intelligence: Living and Working with AI. His teaching and research also explore educational simulations. He earned his PhD and MBA at MIT's Sloan School of Management.
Mentioned in our coverage
46 articles name Ethan Mollick, excluding author credits.
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- Is Writing the Safest Job From AI? Mollick and Demirbas Both Say the Party's Over →
On August 31, 2026, Ethan Mollick declared the "First Golden Age of AI writing" over now that Pangram-style detectors work and ClaudeSpeak reads as cliched. The same day, MongoDB's Murat Demirbas argued writing is a "wicked problem" — maybe even AI-complete — that LLMs will not solve the way they solved code. A 138-comment Hacker News thread stress-tested both claims, and the honest answer sits in between.
- Micro-Gesture AI Writing: Word Spin, Sentence Tone, Paragraph Expand →
On August 31, 2026, a micro-gesture AI writing demo went viral (~712K views) with a simple hierarchy: word = spin synonyms, sentence = shift tone (cold↔warm), paragraph = shorten or expand. explainx.ai unpacks why builders want tone sliders instead of chat-box prompting, and how the pattern parallels Runway Solaris's gesture-first interface world model.
- Vercel DESIGN.md: Spec-Driven UI That Fights AI Slop →
Between August 31 and September 1, 2026, Vercel shipped its design system as a single Markdown file at vercel.com/design.md — a machine-readable spec for AI-generated pages that fights generic "slop." explainx.ai places it in the Pure UI lineage (2015), compares it to Google Labs' DESIGN.md and explainx.ai templates, and covers what commenters say still breaks in unmaintainable code.
- Simon Willison Mapped ChatGPT Work's 232 Tools and 44 Skills — What the Reference Site Reveals →
After Simon Willison's HN post on ChatGPT Work, he asked a fresh Work session to dump every tool and skill into a technical-docs site. The result lists 232 tool interfaces, 44 bundled skills, and roughly 615,000 characters of skill source — including the control-browser playbook that routes browser automation through nodeRepl instead of a dedicated browser tool.