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.
Page 3 of 4
- Why LLMs Reward Expertise More Than "Good Prompting" →
A widely-discussed essay argues that the biggest multiplier on LLM output quality isn't clever prompting — it's how much domain expertise the user brings to the conversation. Terence Tao's math chat with ChatGPT is the proof, and the implications reach far beyond mathematics.
- FROG in a Bowl: The Prompt Method You’ll Actually Remember →
Every major AI lab recommends structured prompts with role, task, format, and context. explainx.ai names that checklist FROG in a Bowl so you can recall it under pressure — and stop shipping vague one-liners.
- Wharton AIBO: Open-Source AI Behavioral Experiments at Scale →
July 2026: Wharton’s AI Behavioral Observatory (AIBO) is open source. Define control vs treatment prompts, score responses, and run thousands of trials — from a browser, Claude Code skill, or MCP. explainx.ai covers the lab’s workflow shift and how it differs from Promptfoo-style optimizers.
- Did Opus 5 One-Shot Call of Duty in the Browser? →
Claude of Duty is a browser FPS with procedural everything and a brutal honest scorecard vs real CoD. explainx.ai covers the prompt, the harness, performance gates, and why sequential agents beat parallel fan-out.
- UChicago Law: AI-Resilient Legal Education →
UChicago Law’s July 2026 statement is rare: a concrete 2026–27 pilot, not vibes. explainx.ai unpacks AI-resilient pedagogy, human-essential skills, and what educators and builders can steal from the plan.