Ethan MollickEvery podcast appearance, updated as new ones drop

Be honest: AI makes you a little nervous. Maybe you're afraid it'll take your job. Maybe you're overwhelmed by all the advice about prompts and agents and which chatbot to use. Or maybe you're just quietly hoping it'll all slow down. Ethan Mollick says we're underestimating our own agency in the age of AI. Instead of worrying about what AI will do to us, we should focus on what we choose to do with it. Ethan is a Wharton professor, the author of the bestseller Co-Intelligence: Living and Working with AI , and the writer behind “One Useful Thing,” one of the most popular newsletters on AI, work, and education. He's spent twenty years studying how people actually use technology, and he's become the go-to voice for making sense of AI without the hype or the doom. And in his new book, Co-Existence: The Next Phase of AI , he explores what comes next as AI moves from a tool we prompt to a presence we live and work alongside. In this conversation, Ethan shares the practical playbook most of us are missing and makes the case that our experience, taste, and point of view aren't things AI replaces. They're exactly what make us better at using it. In this episode you'll learn: ➡️ Why young people are NOT "AI natives" (and why experience is the real AI advantage) ➡️ The $20 decision that instantly upgrades how you use AI ➡️ Why AI agrees with everything you say + the simple prompt that fixes it ➡️ How to make AI write in YOUR voice instead of sounding like everyone else ➡️ The "jagged frontier": what AI is surprisingly bad at (and why that's your opportunity) ➡️ Why taste may become the most valuable skill of the AI era ➡️ How much agency we really have over where AI takes us Ethan believes that the future of AI isn't something that will just happen to us… It's something we get to build together. This… is A Bit of Optimism . + + + To pre-order Ethan’s new book, Co-Existence: The Next Phase of AI , head to: https://co-existence.ai/ Want to hear more from Ethan? Check out his Substack “One Useful Thing”: https://www.oneusefulthing.org/ + + + Chapters Chapters 00:00:00 Why are AI Experts Are Either Doomers or Zealots? 00:02:05 From Video Games to AI: Ethan's Unexpected Journey 00:09:16 AI's Profound Impact on Knowledge Workers 00:14:50 How AI Kills Traditional Talent Pipelines 00:15:57 Why AI Art Doesn't Bother Me, But I'd Never Hang It on My Wall 00:20:40 How To Overcome AI's Complication of Competitive Edge 00:22:06 The 20 Dollar Investment That Changes Everything 00:24:40 The 84 Percent Rule: Why AI Can Now Do Your Seven-Hour Job in 15 Minutes 00:25:59 Your Voice Matters More Than You Think: Why AI Can't Replace Taste 00:19:53 The Discomfort-Avoidant Generation Meets the Efficiency Machine 00:13:08 Why Young

A Non-Techie’s 10-Minute Guide to Using GenAI 17 Aug 2023 --- Think of AI services like ChatGPT as an infinitely helpful, eager-to-please intern that also happens to lie from time to time. Here are some concrete business examples to help you get started with GenAI right now. Presented by Ethan Mollick, associate professor of management at The Wharton School of the University of Pennsylvania. Follow him on Substack: https://substack.com/@oneusefulthing. 00:00 Many people use GenAI wrong and then give up. 01:00 Let’s get it to do some market research. 02:15 What is “hallucination”? 02:47 Give AI context to help with a complicated task. 05:52 What ethical dilemmas does this technology introduce? 07:04 Use step-by-step instructions to create and market a product from scratch. 10:10 Isn’t this all a little…scary? Follow us: https://hbr.org/ https://www.linkedin.com/company/harvard-business-review/ https://www.facebook.com/HBR/ https://twitter.com/HarvardBiz https://www.instagram.com/harvard_business_review Sign up for Newsletters: https://hbr.org/email-newsletters #GenAI #ChatGPT #AI #EthanMollick #HarvardBusinessReview #Work #Business #Harvard #HarvardBusinessSchool Copyright © 2023 Harvard Business School Publishing. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI and the Future of Learning with Ethan Mollick Jeremy Singer sits down with Ethan Mollick, professor at the University of Pennsylvania's Wharton School and author of Co-Intelligence: Living and Working with AI , a New York Times bestseller and a best book of the year from The Economist and Financial Times. Mollick is a defining voice in the AI space, testing generative tools in real-world classrooms and authoring the widely read newsletter One Useful Thing . He is the Ralph J. Roberts Distinguished Faculty Scholar, Rowan Fellow, and Associate Professor at the Wharton School, where he directs the Generative AI Lab and studies the effects of AI on work, entrepreneurship, and education. He was named one of TIME Magazine's Most Influential People in Artificial Intelligence. Despite the rapid pace of development, Mollick argues that the AI we use today is the worst it will ever be, necessitating a proactive shift from denial to engagement. In this episode, he explains why the "homework apocalypse" is already here and how the traditional writing assignment has been fundamentally disrupted. The discussion moves beyond simple prompt engineering to explore the "jagged frontier" of AI capability, where the technology excels at complex tasks while occasionally stumbling on simple ones. Mollick and Singer break down the varying impacts of AI on human performance, describing it as a leveler for those with skill gaps and a "king-maker" for experts who can leverage the tool to achieve massive productivity gains. The conversation also tackles the existential questions of human agency and the future of assessment. Mollick advocates for a "flipped classroom" model where AI serves as an infinitely patient universal tutor outside of school, leaving class time for active learning, debates, and creative projects. He and Singer discuss testing in the age of AI and how educators can teach students to develop "durable skills" like taste, judgment, and a unique personal style . By viewing AI as a teammate rather than just a tool, Mollick suggests that teachers can reclaim hours of their week and focus on the deeply human aspects of education. Featured References: Book: Co-Intelligence: Living and Working with AI by Ethan Mollick Newsletter: One Useful Thing by Ethan Mollick Book: The Diamond Age by Neal Stephenson (The "Young Lady’s Illustrated Primer") Research: Wharton AI Labs on student performance and AI interaction Data: Walton Family Foundation survey on teacher AI usage and time-savings Case Studies: AI-driven educational outcomes and tutor studies in Taiwan and outsourcing academic writing to Kenya Episode Timestamps: 00:00 — Introduction to Ethan Mollick and the pace of AI evolution 02:26 — The "homework apocalypse" and the shift in educational thinking 04:45 — Why today’s AI is the worst version we will ever use 09:15 — Lessons from the 1970s calculator debate for modern curricula 13:55 — AI literacy vs. a fundamental reshaping of human interaction 17:30 — Developing taste and agency as essential "durable skills" 19:00 — The Leveler, Elevator, and King-maker effects on human

In this episode of Identity Matters , SailPoint CEO Mark McClain sits down with Ethan Mollick, a professor at the Wharton School and a leading expert on AI and innovation, to decode the hype and the reality of AI's impact on the future of work. Ethan shares his perspective on how individuals and organizations are grappling with this technological shift, offering a fresh take on the opportunities and challenges ahead. Mark and Ethan unpack the seemingly contradictory nature of AI's evolution—both the massive, rapid transformations and the slower, more subtle shifts happening simultaneously. They explore the common misconceptions leaders have about AI, what it takes to move beyond surface-level understanding, and how to foster a culture of intelligent experimentation within an organization. Tune in for a thought-provoking discussion on how to think differently about AI, the most valuable resources for staying informed in a rapidly changing landscape, and the critical questions leaders should be asking.

Welcome to episode 209 of the AI for Career Success podcast from Curt Robbins. This educational content is designed to give working professionals who leverage AI as a tool for efficiency and productivity a competitive edge. In this episode, hosts Daphne Blake and Fred Jones review an article from Ethan Mollick entitled "Claude Dispatch and the Power of Interfaces" that was published on March 31. In the article, Mollick argues that the true potential of artificial intelligence is currently restricted by the clunky nature of chatbot interfaces, which often overwhelm users with disorganized information. While programmers benefit from specialized tools, most professionals still struggle with high cognitive costs when using standard chat windows for complex tasks. New developments like personal agents and dynamic interfaces are beginning to bridge this gap by allowing AI to interact directly with local files and existing communication apps. These specialized systems, such as Google’s NotebookLM or Anthropic’s Claude Cowork, transition the technology from a simple text box to a functional assistant that performs real work. Ultimately, the next leap in productivity will come from AI adapting its interface to the user’s specific needs rather than forcing humans to adapt to a chat-based format. This shift suggests that perceived limitations in AI capability are often actually failures of design and accessibility. _________________________________ "It will not be AI that takes away the job of a technical writer, but rather another technical writer with deep AI skills," said Robbins. I am currently taking on new clients. I enjoy helping companies with their documentation and communications strategy and implementation. Contact me to learn about my reasonable rates and fast turnaround. — Curt _________________________________ >> Read the Mollick article: https://tinyurl.com/y43kys3b >> Get smart on AI with my exclusive and affordable coaching: https://tinyurl.com/mr3m5fdz >> Read the Robbins article "The Year AI Went Nuclear: Six Largest M&A Deals of 2025": https://tinyurl.com/2vys3mrm >> Read the Robbins article "The Global AI Race: America vs. China": https://tinyurl.com/2uckj7wy >> Read the Robbins article "Understanding AI Hallucinations in Technical Writing": https://tinyurl.com/bdeyd64t >> Read the Robbins article "Yale Study: Impact of AI on the Job Market": https://tinyurl.com/f3cuvvxn >> Read the Robbins article "Why Large Language Models are Changing the World": https://tinyurl.com/bdfv63ca >> Read the Robbins article "Understanding Anthropic: Rising Star in AI": https://tinyurl.com/46btw22z >> Read the Robbins article "Comparing ChatGPT, Gemini, Copilot, & Grok": https://tinyurl.com/3zwttxhk >> Read the Robbins article "AI Job Replacement Fears Are Good. Here's Why.": https://tinyurl.com/p5t27t7d >> Join the LinkedIn group AI for Career Success: https://tinyurl.com/mr28u7td >> Subscribe to the Technical Writing Success podcast: https://tinyurl.com/uu9hpyzt >> Subscribe to the YouTube channel AI for Career Success: https://tinyurl.com/29t4x5xu

This is a very special episode recorded live at the CHRO Association's annual CHRO Summit in Orlando, Florida. Over two days, more than 300 CHROs and senior HR leaders came together for strategic conversations truly shaping the future of work. With 25 presenters and panelists on the agenda, I was fortunate enough to sit down and interview seven of those amazing speakers and bring their insights directly to you. The conversations were so good and in-depth that we're making this a two-part series to ensure we do each conversation justice. This is Part 1. In this episode, you'll hear from: Tim Bartl, CEO of the CHRO Association Tim Richmond, Chair of the CHRO Association and former EVP and CHRO at AbbVie Kristi Hummel, Chief People Officer at Optum Ethan Mollick, Innovation Expert, AI Thought Leader, and Professor of Entrepreneurship at the Wharton School of Business Connecting with CHRO Summit presenters: Connect with Tim Bartl on LinkedIn Connect with Tim Richmond on LinkedIn Connect with Kristi Hummel on LinkedIn Connect with Ethan Mollick on LinkedIn Learn more about CHRO Association Episode Sponsor: Next-Gen HR Accelerator - Learn more about this best-in-class leadership development program for next-gen HR leaders HR Leader’s Blueprint - 18 pages of real-world advice from 100+ HR thought leaders. Simple, actionable, and proven strategies to advance your career. Succession Planning Playbook : In this focused 1-page resource, I cut through the noise to give you the vital elements that define what “great” succession planning looks like.

Ethan Mollick, a Wharton professor and author of the Substack One Useful Thing , describes today’s AI systems as a “jagged frontier," where AI outperforms humans in some tasks but falls short in others. This unevenness means the technology won’t replace all jobs, but it will reshape how we work and which skills matter most. In this episode, we discuss why management and delegation are becoming more valuable, how AI could disrupt the traditional career ladder, and how Mollick is using AI in his classroom to accelerate and deepen learning. Learn more about your ad choices. Visit podcastchoices.com/adchoices

What if the real barrier to AI success in your organization is not the technology — it is how you lead it? In this Insight On episode, host Rob Green sits down with Ethan Mollick, author of Co-Intelligence, to examine the hard truths about AI adoption in the enterprise. They unpack why individual productivity gains can be significant while organizational results lag — and what leaders can do differently today. You will hear Ethan's take on the jagged frontier of AI capabilities, why co-intelligence beats replacement, and how cyborg and centaur models of work are already changing how teams operate . The conversation gets into security, ROI, and the organizational structures that either support or limit real outcomes. If you are making technology decisions that affect people, budgets, and outcomes, this is a conversation you cannot afford to sit out. Jump right to… 00:00: Welcome and why this episode matters 01:35: Meet Ethan Mollick and co-intelligence 03:18: How AI fills skill gaps and boosts output 04:40: The jagged frontier and edge experimentation 06:01: The ROI debate and what leaders miss 07:28: How AI quietly changes how work gets done 12:30: Security, privacy, and real risk shifts 18:10: Shadow AI, policy debt, and constraints 24:45: From pilots to transformation at scale 30:20: Why you need leadership, crowd, and lab 38:00: Closing thoughts and what to do now

Ethan Mollick, professor at the Wharton School and author of One Useful Thing , joins Scott Galloway to examine the biggest mistake companies are making about AI. They discuss why fears of mass job loss may be premature, how quiet productivity gains are already reshaping work, and why most organizations lack the imagination to redesign themselves around new technology. Ethan also explores AI in higher education and medicine, the rise of open-weight models, and what all of this means for young people entering the workforce. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Even if the AI bubble bursts, the technology won’t just disappear. We’re going to live alongside some version of AI, so we have to ask: what does our future with AI look like? This week, Adam invites Ethan Mollick, AI expert and professor at Wharton School of Business, to challenge his skeptical view on AI and look at how it might impact our daily lives. Find Ethan's book at factuallypod.com/books -- SUPPORT THE SHOW ON PATREON: https://www.patreon.com/adamconover SEE ADAM ON TOUR: https://www.adamconover.net/tourdates/ SUBSCRIBE to and RATE Factually! on: » Apple Podcasts: https://podcasts.apple.com/us/podcast/factually-with-adam-conover/id1463460577 » Spotify: https://open.spotify.com/show/0fK8WJw4ffMc2NWydBlDyJ About Headgum: Headgum is an LA & NY-based podcast network creating premium podcasts with the funniest, most engaging voices in comedy to achieve one goal: Making our audience and ourselves laugh. Listen to our shows at https://www.headgum.com . » SUBSCRIBE to Headgum: https://www.youtube.com/c/HeadGum?sub_confirmation=1 » FOLLOW us on Twitter: http://twitter.com/headgum » FOLLOW us on Instagram: https://instagram.com/headgum/ » FOLLOW us on TikTok: https://www.tiktok.com/@headgum » Advertise on Factually ! via Gumball.fm See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .

Wharton’s Ethan Mollick is part of a research team determining the outer limits of what AI will do when prompted, including whether it will hurl insults or help with illegal activity. This episode is part of the “Research Roundup” series. Hosted on Acast. See acast.com/privacy for more information.

Ethan Mollick, professor at Wharton and leading thinker on innovation and technology, joins us to explore his lifelong fascination with artificial intelligence and its impact on how we work and learn. Ethan shares why play is one of the most powerful ways to engage with new technology, and how feedback and curiosity can turn mediocre outputs into something meaningful. We dig into the challenges organizations face when adopting new tools, the common mistakes leaders make in rolling them out, and what history tells us about jobs lost—and created—during times of disruption. From advice for students entering the workforce to insights on how leaders’ roles are already shifting, Ethan offers a clear-eyed yet optimistic view of where we are headed. As AI redefines efficiency, it cannot replace the qualities that make us human—like communication, collaboration, connection, creativity, ethical judgment, and leadership. Download our guide, Elevating Human Skills in the Age of AI to learn more: https://resources.franklincovey.com/c/tlg-elevating-human-skills?x=j4G37p&lb-mode=overlay FranklinCovey’s world-class learning solutions—delivered Live-Online, On Demand, or Live In-Person—are designed to build exceptional leadership skills and enrich your culture at every level of your organization. To learn more, email us at info@franklincovey.com, visit franklincovey.com, or call us at: 1-888-868-1776

What if, thanks to AI, you can now research and write a book two, three, or even four times faster? For authors and AI pioneers Steven Johnson (Editorial Director, NotebookLM and Google Labs) and Ethan Mollick (Wharton professor and creator of One Useful Thing ), that's the new reality. In this episode, they crack open their personal toolkits to reveal the prompts and workflows they use to supercharge their creativity. What you’ll learn: How Steven used AI to write 40,000 words in 72 hours. The specific AI tools Steven and Ethan rely on for researching and writing. Whether AI will ever write better than humans. How the very concept of a "book" may morph into an interactive, personalized experience that readers can query, customize, and even turn into a game. Further listening: BILL GATES: Superhuman AI May Be Closer Than You Think SAL KHAN: How AI Will Revolutionize the Way We Learn MARYANNE WOLF: Are We Forgetting How To Read? STEVEN JOHNSON & DAVID CHALMERS: Artificial Intelligence Meets Virtual Worlds ADAM BROTMAN & ANDY SACK: The AI Tsunami Is Already Here ——— This episode is brought to you by AUTHOR INSIDER, our exclusive community and learning platform for ambitious creators. What's Inside: ✅ Innovative strategies from bestselling authors and industry experts ✅ Audience growth tactics to expand your readership and revenue ✅ Vibrant creator community for networking and collaboration ✅ Exclusive content not available anywhere else 🎯 Exclusive 25% discount for podcast listeners — join AUTHOR INSIDER today ——— Ready to reach 300,000 curious listeners and readers? Promote your brand, book, or product to an audience passionate about big ideas. Request our sponsor kit: https://tally.so/r/wLgkN1

Ethan Mollick, Professor of Management and author of the “One Useful Thing” Substack , joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare , and Alan Rozenshtein, Associate Professor at Minnesota Law and a Senior Editor at Lawfare , to analyze the latest research in AI adoption, specifically its use by professionals and educators. The trio also analyze the trajectory of AI development and related, ongoing policy discussions. More of Ethan Mollick's work: https://www.oneusefulthing.org/ Find Scaling Laws on the Lawfare website , and subscribe to never miss an episode. Hosted on Acast. See acast.com/privacy for more information.

Ethan Mollick, Professor of Management and author of the “One Useful Thing” Substack , joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare , and Alan Rozenshtein, Associate Professor at Minnesota Law and a Senior Editor at Lawfare , to analyze the latest research in AI adoption, specifically its use by professionals and educators. The trio also analyze the trajectory of AI development and related, ongoing policy discussions. More of Ethan Mollick's work: https://www.oneusefulthing.org/ Find Scaling Laws on the Lawfare website , and subscribe to never miss an episode. To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare . You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute . Support this show http://supporter.acast.com/lawfare . Hosted on Acast. See acast.com/privacy for more information.

In this episode of Scaling Laws, Alan and Kevin discuss the current state of AI growth, focusing on scaling laws, the future of AGI, and the challenges of AI integration into society with Ethan Mollick, Professor of Management at Wharton, specializing in entrepreneurship and innovation. They explore the bottlenecks in AI adoption, particularly the role of interfaces and the uncertainty surrounding AI development. Mollick discusses the transformative potential of AI in various fields, particularly education and medicine, as well as the need for empirical research to understand AI's impact, the importance of adapting teaching methods, and the challenges of cognitive de-skilling. More of Ethan Mollick's work: https://www.oneusefulthing.org/ Hosted on Acast. See acast.com/privacy for more information.

We've curated a special 10-minute version of the podcast for those in a hurry. Here you can listen to the full episode: https://podcasts.apple.com/no/podcast/ethan-mollick-ai-urgency-leadership-responsibility/id1614211565?i=1000712377483&l=nb Which companies will lead and which will be left behind as AI transforms the way we work? Nicolai Tangen connects with Ethan Mollick, Wharton professor and author of 'Co-Intelligence: Living and Working with AI,' to explore how organizations can harness AI's revolutionary potential. They discuss the growing adoption of AI tools across workforces, proven tactics for driving company-wide implementation, the rise of autonomous AI agents, and why traditional training approaches may be missing the mark. Ethan reveals insights from his research showing that AI works best as a collaborative teammate rather than a replacement. With AI capabilities advancing faster than expected, organizations face increasing urgency to act. In Good Company is hosted by Nicolai Tangen, CEO of Norges Bank Investment Management. New full episodes every Wednesday, and don't miss our Highlight episodes every Friday. The production team for this episode includes Isabelle Karlsson and PLAN-B's Niklas Figenschau Johansen, Sebastian Langvik-Hansen and Pål Huuse. Background research was conducted by David Høysæter and Yohanna Akladious. Watch the episode on YouTube: Norges Bank Investment Management - YouTube Want to learn more about the fund? The fund | Norges Bank Investment Management (nbim.no) Follow Nicolai Tangen on LinkedIn: Nicolai Tangen | LinkedIn Follow NBIM on LinkedIn: Norges Bank Investment Management: Administrator for bedriftsside | LinkedIn Follow NBIM on Instagram: Explore Norges Bank Investment Management on Instagram Hosted on Acast. See acast.com/privacy for more information.

Which companies will lead and which will be left behind as AI transforms the way we work? Nicolai Tangen connects with Ethan Mollick, Wharton professor and author of 'Co-Intelligence: Living and Working with AI,' to explore how organizations can harness AI's revolutionary potential. They discuss the growing adoption of AI tools across workforces, proven tactics for driving company-wide implementation, the rise of autonomous AI agents, and why traditional training approaches may be missing the mark. Ethan reveals insights from his research showing that AI works best as a collaborative teammate rather than a replacement. With AI capabilities advancing faster than expected, organizations face increasing urgency to act. Tune in for an insightful conversation! In Good Company is hosted by Nicolai Tangen, CEO of Norges Bank Investment Management. New full episodes every Wednesday, and don't miss our Highlight episodes every Friday. The production team for this episode includes Isabelle Karlsson and PLAN-B's Niklas Figenschau Johansen, Sebastian Langvik-Hansen and Pål Huuse. Background research was conducted by David Høysæter and Yohanna Akladious. Watch the episode on YouTube: Norges Bank Investment Management - YouTube Want to learn more about the fund? The fund | Norges Bank Investment Management (nbim.no) Follow Nicolai Tangen on LinkedIn: Nicolai Tangen | LinkedIn Follow NBIM on LinkedIn: Norges Bank Investment Management: Administrator for bedriftsside | LinkedIn Follow NBIM on Instagram: Explore Norges Bank Investment Management on Instagram Hosted on Acast. See acast.com/privacy for more information.

Most companies are using AI to cut costs. Ethan Mollick argues that the biggest mistake companies make is thinking too small. In the first episode of Strange Loop, Wharton professor and leading AI researcher Ethan Mollick joins Sana founder and CEO Joel Hellermark for a candid and wide-ranging conversation about the rapidly changing world of AI at work. They explore how AI is not just an efficiency tool but a turning point—one that forces a choice between incremental optimization and transformational scale. The discussion covers the roots of machine intelligence, the relevance of AGI, and what it takes to build organizations designed from the ground up for an AI-native future. What’s in this episode Why most companies are underestimating what AI makes possible The tension between using AI for efficiency vs. scaling ambition How traditional org charts, built for a human-only workforce, are breaking The collapse of apprenticeship and its long-term implications- How prompting is becoming a foundational business skill Why “cheating” with AI may be the new form of learning The risks of using AI to optimize the past instead of inventing the future What it means to build truly AI-native teams and organizations — Transcript: https://sanalabs.com/strange-loop/ethan-mollick — About Strange Loop Strange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it. Subscribe for more conversations at the edge of AI and human knowledge. — Timestamps (00:20) Origins: AI in the early days at MIT (01:53) Defining and testing intelligence: Beyond the Turing test (06:35) Redesigning organizations for the AI era (08:56) Human augmentation or replacement (14:58) Navigating AI's jagged frontier (17:18) The 3 ingredients for successful AI adoption (23:31) Roles to hire for an AI-first world (33:41) Do orgs need a Chief AI officer? (39:45) The interface for AI and human collaboration (43:50) Rethinking the goals of enterprise AI (49:15) The case for abundance (52:30) Best and worse case scenarios (58:51) Avoiding the trap of enterprise AI KPIs — Where to find Ethan Newsletter: https://www.oneusefulthing.org/ LinkedIn: https://www.linkedin.com/in/emollick/ X: https://x.com/emollick — Where to find Joel LinkedIn: https://www.linkedin.com/in/joel-hellermark/ X: https://x.com/joelhellermark

Most companies are using AI to cut costs. Ethan Mollick argues they’re missing the bigger opportunity. In this episode preview from Strange Loop Podcast, Ethan explains the strategic crossroads AI creates for every business: Use AI to do more with fewer people or use it to scale ambition and build something transformative. This clip is a glimpse into a bigger conversation with Sana's founder and CEO Joel Hellermark on how AI is reshaping work, leadership, and learning. Subscribe to get the full episode as soon as it launches.

With Ethan Mollick , professor at Wharton and author of the bestselling “Co-Intelligence” , we explore how generative AI tools like ChatGPT can enhance scientific creativity. Ethan emphasizes that AI excels at idea generation through sheer volume and recombination, outperforming most humans in many creativity tasks – though it does have odd obsessions with VR and crypto. However, AI is most effective when integrated into a collaborative human–machine workflow rather than used as a replacement. Ethan describes AI as your tireless science buddy that never gets bored or judgmental during brainstorming. We discuss how AI’s " hallucinations " can be used for creativity, how AI can bridge disciplines by revealing hidden connections across fields, and how prompting strategies – such as chain-of-thought or playful personas – can guide AI toward more original outputs. Ethan stresses the need for scientists to actively experiment with these tools, share their methods openly, and reconsider scientific workflows in light of rapid AI progress. ​​For more information on Night Science, visit https://www.biomedcentral.com/collections/night-science .

It’s official: AI has arrived and, from here on out, will be a part of our world. So how do we begin to learn how to coexist with our new artificial coworkers? Ethan Mollick is an associate professor at University of Pennsylvania’s Wharton School and the author of Co-Intelligence: Living and Working with AI . The book acts as a guide to readers navigating the new world of AI and explores how we might work alongside AI. He and Greg discuss the benefits of anthropomorphizing AI, the real impact the technology could have on employment, and how we can learn to co-work and co-learn with AI. *unSILOed Podcast is produced by University FM.* Episode Quotes: The result of an experiment identifying the impact of GEN AI 07:35 We went to the Boston Consulting Group, one of the elite consulting companies, and we gave them 18 realistic business tasks we created with them and these were judged to be very realistic. They were used to do actual evaluations of people in interviews and so on. And we got about 8 percent of the global workforce of BCG, which is a significant investment. And we had them do these tasks first on their own without AI, and then we had them do a second set of tasks either with or without AI. So, random selection to those two. The people who got access to AI, and by the way, this is just plain vanilla GPT-4 as of last April. No special fine-tuning, no extra details, no special interface, no RAG, nothing else. And they had a 40 percent improvement in the quality of their outputs on every measure that we had. We got work done about 25 percent faster, about 12.5 percent more work done in the same time period. Pretty big results in a pretty small period of time. Is AI taking over our jobs? 20:30 The ultimate question is: How good does AI get, and how long does it take to get that good? And I think if we knew the answer to that question, which we don't, that would teach us a lot about what jobs to think about and worry about. Will there be a new data war where different LLM and Gen AI providers chase proprietary data? 11:17 I don't know whether this becomes like a data fight in that way because the open internet has tons of data on it, and people don't seem to be paying for permission to train on those. I think we'll see more specialized training data potentially in the future, but things like conversations, YouTube videos, podcasts are also useful data sources. So the whole idea of LLMs is that they use unsupervised learning. You throw all this data at them; they figure out the patterns. Could public data be polluted by junk and bad actors? 16:39 Data quality is obviously going to be an issue for these systems. There are lots of ways of deceiving them, of hacking them, of working like a bad actor. I don't necessarily think it's going to be by poisoning the datasets themselves because the datasets are the Internet, Project Gutenberg, and Wikipedia. They're pretty resistant to that kind of mass poisoning, but I think data quality is an issue we should be concerned about. Show Links: Recommended Resources: “Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality” | Harvard Business School Geoffrey Hinton Project Gutenberg Gemini AI “Google’s Gemini Controversy Explained: AI Model Criticized By Musk And Others Over Alleged Bias” | Forbe

Three of the most influential AI thought leaders – Ethan Mollick, Joe Carlsmith, and Jürgen Schmidhuber – take a bold look into the future of artificial intelligence, asking the tough questions: Can we control superintelligences without crossing ethical lines? Could AI motivations become so alien that we can no longer comprehend them? And what happens to humanity when machines care more about each other than about us? A podcast about opportunities, risks, and what might be the greatest challenge in human history. Check out each source with its respective rating here: https://www.getabstract.com/en/verify/item/ZQ8gZYIyjM https://www.getabstract.com/en/verify/item/Q7VqOBk2H4 https://www.getabstract.com/en/verify/item/VFRRjsFy6N

Feeling a little overwhelmed by AI? You’re not alone. Ethan Mollick, Wharton professor and author of Co-Intelligence: Living and Working with AI, breaks down the "AI crisis" — and why it’s totally normal. Ethan shares his tips for working with AI as a thought partner, and reveals how AI is already reshaping classrooms, boardrooms, and beyond. From treating AI like your co-worker to rethinking how we educate future generations, this conversation is packed with practical advice, and a dose of optimism about what AI can help us accomplish — if we’re ready to embrace it. Pioneers of AI is made possible with support from Inflection AI. Learn more about Pioneers of AI: http://pioneersof.ai/ Follow Pioneers of AI on all channels: https://linktr.ee/pioneersofai At the center of AI is people, so we want to hear from you! Share your experiences with AI — or ask us a burning question — by leaving a voicemail at 601-633-2424. Your voice could be featured in a future episode! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .

"Több millió évnyi egyeduralom után az ember kifejlesztett egyfajta társintelligenciát, amely kiegészítheti, vagy akár helyettesítheti az emberi gondolkodást” - Ethan Mollick, a Wharton Egyetem tanára arra buzdít, hogy munkatársként, társtanárként és coachként tekintsünk a Mesterséges Intelligenciára. Átfogó, optimista és igazán inspiráló könyvében aktuális példák segítségével és meggyőző érvekkel támasztja alá, miért elengedhetetlen a gépekkel való együttműködés képességének elsajátítása. Kitér a legjellemzőbb félelmeinkre, megkerülhetetlen etikai kérdésekre is, de alapvetően arról ír, rövid távon milyen hatással van a munkánkra, az életünkre az AI. A könyvet egyébként ő is a Mesterséges Intelligenciával közösen írta, olykor motivációt, máskor konkrét esetek összegyűjtését kérve tőle. A podcast Papp Lászlóval készült, aki programozó matematikus, az ITangó Kft. alapítója és a Gartner képviseletvezetője, az ő támogatásával jelent meg ennek a kihagyhatatlan könyvnek a magyar kiadása.

Welcome to The InnoGuide Podcast, where we share the works of authors and mentors to guide innovation. In episode number 24, we're sharing part two of Co-Intelligence: Living and Working with AI by Ethan Mollick.

Ethan Mollick, is the Ralph J. Roberts Distinguished Faculty Scholar and Associate Professor at the Wharton School of the University of Pennsylvania, where he studies the effects of artificial intelligence on work, entrepreneurship, and education. His academic research has been published in leading journals, and his work on AI is widely applied, leading him to be named one of TIME Magazine ’s Most Influential People in Artificial Intelligence. Ethan also writes to a wider audience about AI, including in his book, Co-Intelligence , a New York Times bestseller. In addition to his research and teaching, Ethan is the Co-Director of the Generative AI Labs at Wharton, which build prototypes and conduct research to discover how AI can help humans thrive while mitigating risks. Prior to his time in academia, Ethan co-founded a startup company, and he advises numerous organizations. He received his PhD and MBA from MIT’s Sloan School of Management and his bachelor’s degree from Harvard University. In this episode, we discuss: What people get wrong when people think about how AI will shape the workforce. What he calls the 'Centaur versus Cyborg' approach—the misconception that work must be divided between humans and AI, rather than completed in unison. What preliminary studies, in the past few years between organizations like BCG, Harvard, and MIT, have to tell us about how AI powers human productivity and work itself. What history teaches us about adopting new technologies like AI to maintain a competitive edge. _______________________________________________________________________________ Episode Timeline: 00:00 —Highlight from today's episode 01:07 —Introducing Ethan+ the topic of today’s episode 03:04 —If you really know me, you know that... 03:24 —Ethan's background and journey into AI 04:53 —What is your definition of strategy? 06:20 —Common misconceptions about AI's impact on the workforce 07:46 —AI's capabilities compared to humans, particularly in creativity 10:03 —The best way to use AI for idea generation 10:37 —AI's role in the different stages of strategy development 13:12 —The BCG study on AI's impact on consulting work Bring Us Together 13:58 —The concept of Agentive AI 14:48 —Lessons from past general purpose technology adoptions 16:33 — The need for organizational redesign in the age of AI 19:18 —The impact of AI on profit distribution across industries 20:40 —AI's role in identifying market needs and finding solutions 22:38 —The importance of experimentation with AI 24:50 —Addressing the issue of AI's unexplainable solutions _______________________________________________________________________________________ Additional Resources: Link to book: Co-Intelligence Linkedin: linkedin.com/in/emollick Substack: @oneusefulthing X: emollick Thank you to our executive producer Zach Ness, our producer Nazanin Homayoun Jam and our editor James Pearce. If you enjoyed this episode, please follow, download, and subscribe. I’m your host, Kaihan Krippendorff—thank you for listening. Follow us at outthinker.com/podcast

Welcome to The InnoGuide Podcast, where we share the works of authors and mentors to guide innovation. In episode number 23, we're sharing part one of Co-Intelligence: Living and Working with AI by Ethan Mollick.

This is a free preview of a paid episode. To hear more, visit www.exponentialview.co I’m hosting a series of discussions about how AI might surprise us in 2025. Last week, I spoke with one of the top semiconductors analysts I follow, Dylan Patel . And this week I got together with Ethan Mollick , Professor at Wharton School and one of the deepest divers in the realms of generative AI use. We discuss how organisations can capitalise on AI’s abilities, what agentic systems will change and how a rapid commoditisation of models may pan out. Members of Exponential View have full access to the audio and video recording as well as my conversation notes below. Enjoy! Organisational innovation Despite a year of pilot projects and enthusiastic rhetoric, many large firms remain stuck in incremental territory. Instead of using AI to imagine radically new workflows, they’re automating legacy tasks. This is akin to using electric light merely to extend working hours rather than rethinking the entire assembly line. With AI agents and co-pilots, any employee can draw on a level of intellectual leverage previously reserved for domain experts or high-level consultants. If taken seriously, this can compress cycle times, broaden the internal innovation pipeline, and redistribute authority within organizations. Yet, firms cling to traditional ROI metrics and cost-cutting mindsets. This is a huge missed opportunity.

Can AI agents can make you better at your job? Listen to Ethan Mollick, Co-Director of Generative AI Lab at Wharton, for tips on how to use AI agents to be more creative and efficient. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.