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Ethan Mollick
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TIME 100 AI 2024
← Prometheans 100+ Ethan Mollick
TIME 100 AI 2024

Wharton professor, clearest AI-for-practitioners writer

Ethan Mollick

Associate Professor — Wharton School, UPenn

Profile

Ethan Mollick is an Associate Professor at the Wharton School of the University of Pennsylvania, where he studies innovation and entrepreneurship — and, since late 2022, has become one of the clearest explainers on the planet of what generative AI actually means for people who have to get work done. If you want a grounded, practitioner-level read on how knowledge workers can and should use frontier models, Mollick is the first link in the chain.

His One Useful Thing newsletter on Substack has grown to hundreds of thousands of subscribers by doing something rare: taking research seriously, running experiments in the open, and refusing both the doomer and hype poles. He coined the “jagged frontier” — the observation that AI is shockingly good at some tasks and shockingly bad at others, with no clean way to know which is which without using it — along with the Centaur vs. Cyborg distinction for how people divide labor with AI. Both framings have escaped the academic literature and become common shorthand.

His big empirical contribution is the 2023 Boston Consulting Group field experiment with collaborators at Harvard, MIT, and Warwick: 758 consultants, randomly assigned to use GPT-4 or not, with measurable tasks graded by humans. Consultants using AI completed 12% more tasks, 25% faster, and produced 40% higher-quality output — with the largest gains going to the weakest performers. This is one of the few pieces of rigorous evidence we have on real productivity impact, and Mollick has spent the years since pushing organizations to actually run their own versions of it.

He wrote Co-Intelligence: Living and Working with AI (2024), a New York Times bestseller and one of the few AI books you can hand to a non-technical colleague without apology. A follow-up, Beyond the Jagged Frontier, is on the way. He was named to TIME’s 100 Most Influential People in AI in 2024. For developers learning AI: his stuff is not about how the models work — it’s about what happens when smart humans actually try to use them for real jobs. That’s a gap worth filling.

Books

Co-Intelligence: Living and Working with AI A practitioner's guide to treating AI as a co-worker, co-teacher, and coach — the book to hand to a non-technical friend who wants to actually understand what LLMs are good for. Beyond the Jagged Frontier Follow-up to Co-Intelligence covering agents and the next phase of working, learning, and living with frontier AI. The Unicorn's Shadow Mollick's pre-AI book — myth-busting advice for startups and founders grounded in entrepreneurship research.

Key Articles & Papers

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality 2023 — The BCG study. 758 consultants, randomized GPT-4 access, measurable tasks — the cleanest evidence we have that AI meaningfully changes knowledge-worker output. Centaurs and Cyborgs on the Jagged Frontier 2023 — The post that gave the community two durable framings for human-AI collaboration: delegate-and-stitch (centaur) vs. deeply interleaved (cyborg). Working with AI: Two Paths to Prompting 2023 — Conversational prompting vs. structured prompting — when each works and why most people should stop overthinking it. Innovation Through Prompting 2024 — Prompts as 'programs in prose' — how non-programmers get real leverage out of GPT-4 class models with plain English. I, Cyborg: Using Co-Intelligence 2024 — Mollick's working guide to interleaving AI into your own workflow instead of just delegating tasks to it. Real AI Agents and Real Work 2025 — The argument that 2025-era agents crossed a threshold into performing economically relevant work — not just demos. Management as AI Superpower 2025 — Why the skills that make someone a good manager of humans turn out to also make them a good manager of AI agents. The Future of Education in a World of AI 2024 — Mollick's running argument for how schools should actually adapt — closer to 'require AI use' than 'ban it'. Cyborgs, Centaurs and Self-Automators 2025 — Follow-up academic paper formalizing three modes of human-GenAI knowledge work and what each implies for skill development.

Videos

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Spotify Podcasts

Ethan Mollick | How to build an AI-first organization
Ethan Mollick | How to build an AI-first organization
Why CEOs Are Getting AI Wrong — with Ethan Mollick
Why CEOs Are Getting AI Wrong — with Ethan Mollick
An AI Expert Challenges an AI Skeptic, with Ethan Mollick
An AI Expert Challenges an AI Skeptic, with Ethan Mollick
Ethan Mollick: Why AI Is a Leadership Problem, Not Just a Tech Problem
Ethan Mollick: Why AI Is a Leadership Problem, Not Just a Tech Problem
Inside the New Reality of AI at Work With Ethan Mollick  | EP 21
Inside the New Reality of AI at Work With Ethan Mollick | EP 21
The Jagged Frontier: How AI Will Transform Your Job, According to Wharton's Ethan Mollick
The Jagged Frontier: How AI Will Transform Your Job, According to Wharton's Ethan Mollick
#133—Ethan Mollick: How AI Will Enhance—Not Replace—Our Work
#133—Ethan Mollick: How AI Will Enhance—Not Replace—Our Work
What Happens When AI Learns to Do Our Jobs
What Happens When AI Learns to Do Our Jobs
Ethan Mollick: The Shape of the Thing
Ethan Mollick: The Shape of the Thing
Ethan Mollick: What Leaders Need to Know About AI
Ethan Mollick: What Leaders Need to Know About AI
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