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
54 articles name Ethan Mollick, excluding author credits.
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- Are We All Meat Proxies Now? →
"Meat proxy" started as a Slack insult for people who paste Claude into a channel unread. Two months later the dictionary card is trending because the insult stopped being a joke. This is the companion to our point-of-no- return essay: not extinction, not vibe coding — whether human judgment is still in the loop, or we are just the network cable.
- Anthropic: GLM-5.3 Open Weights Match Mythos-Class Cyber Evals →
On September 29, 2026, Anthropic's Frontier Red Team published an evaluation of Zhipu / Z.ai GLM-5.3: end-to-end ExploitBench rates sit next to Claude Mythos Preview, Binary Exploitation crossed a threshold earlier models missed, and NIST CAISI already called it the most cyber-capable open-weight model released to date. This is not the hosted Abliteration.ai product — it is Anthropic's read of the downloadable weights.
- AI Is Taking Us to a Point of No Return — and a Pause Won't Save Us →
Everyone is arguing about AI extinction and pausing the frontier. Meanwhile the real damage is already here: programming knowledge is dying, writing is flattening into one voice, tokenmaxxing is rotting workplaces, and a generation is growing up that never learns to think without a model. The research is in. Slowing down the next model gives none of it back.
- What Is Meta-Prompting? Templates, Orchestration, and FROG in a Bowl →
Meta-prompting sounds academic until you realize you already do it — when you reuse a checklist, when a chief agent spawns workers, or when you name Bauhaus instead of "make it nice." Here is what the term means, how it differs from ordinary prompt engineering, and how explainx.ai's FROG in a Bowl template connects to image prompting lessons from 2026.