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
49 articles name Ethan Mollick, excluding author credits.
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- OpenAI's Research Acceleration Post: 3.1 Agent-Workdays Per Human →
OpenAI's September 6, 2026 blog post "Research acceleration: The view inside OpenAI" is the company's own internal usage data on coding agents — spend, concurrency, task mix, and where humans still have to step in. It also confirms a July 20 infrastructure shutdown and an August 7 Astra-specific compute restriction that didn't actually cost throughput.
- The 11 Best GPT-6 Astra Demos From Launch Week, Verified →
Benchmarks are one way to judge GPT-6 Astra. What people actually built with it in the first 24 hours is another. We verified eleven launch-week demo videos — official OpenAI clips and independent builders alike — and rated each one on whether it's a real capability or a 20-second highlight reel.
- GPT-6 Astra Is Live. Here's Every Number That Actually Matters. →
After a confused false start — press coverage went live before OpenAI's own page did — GPT-6 Astra shipped on September 3, 2026 to ChatGPT Plus, Pro, Business, and Enterprise, plus the API. It matches Fable 5.1's pricing, leads on security and long-context benchmarks, and trails Fable 5.1 on general intelligence. Here is every number, not just the highlight reel.
- 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.