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Silicon Valley GirlWharton’s Top AI Professor: Stop Starting Software Companies — The Real AI Money Is Here
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Episode Details
EPISODE INFO
- Released
- November 3, 2026
- Duration
- 53m
- Channel
- Silicon Valley Girl
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Ethan Mollick explains how to work with AI agents without giving up your own thinking. 📌 If you’re building agents for your company, check out MongoDB Atlas Agent Engine: https://fandf.co/3Ubceet 📩 Follow my Newsletter (Future Proof): https://siliconvalleygirl.beehiiv.com/subscribe?utm_source=youtube&utm_medium=description&utm_campaign=futureproof-sub&utm_term=Ethan-Mollick AI can draft most of your work in seconds. But if you only fix 10% of what it writes, what are you actually losing? In this episode, I talked to Ethan Mollick, a Wharton professor of entrepreneurship and innovation who co-directs Wharton's Generative AI Labs. TIME named him one of the 100 most influential people in AI, and his new book, Co-Existence: The Next Phase of AI, came out in October. We talk about how to manage AI agents so the result is still your own work. Ethan shares why he still types every first draft himself, why he brainstorms alone before he opens Claude, and what happened when AI fact-checked his new book and found errors in the papers he was citing. We also get into why entry-level jobs no longer teach people the way they used to, and what's next for people who are good at their jobs, but not exceptional. At the end, I asked him the question I keep thinking about: what happens when AI learns taste? *Timestamps:* 0:00 Intro 0:50 How Do You Teach Ambition? 1:57 What Surgeons and Soldiers Built in His Wharton Class 3:31 Startup Ideas That Fail Every Year 7:26 Is It Still Worth Starting a Software Company? 13:24 4 Skills You Need to Use AI Well 16:10 How to Develop Taste 18:37 Why Junior Jobs Stopped Training People 20:42 "Cognitive Surrender": What to Keep Doing Yourself 22:12 What Happens to "Good Enough" Professionals 23:43 Why Experts Get the Most Out of AI 27:44 Should You Let AI Generate Your Ideas? 33:23 How to Manage AI Agents 35:14 The Biggest Mistake: Trusting Agents Too Much 36:03 Ethan's Real Agent Workflow, Step by Step 39:47 What He Can't Wait to Hand Off to AI 48:32 The Mindset That Helps When Everything Keeps Changing 49:55 Local Models: When Will They Matter? 51:08 Set Goals AI Can't Hit Yet 52:05 What Happens When AI Learns Taste? *📌 Help shape what’s next on Silicon Valley Girl!* Take our quick survey: https://docs.google.com/forms/d/e/1FAIpQLSdQEqUy3wiE7TlzM_haWLEcgV8eJUeSBIVaK2QjDsAVEsXm3w/viewform?usp=publish-editor *Links:* 🔗 My Instagram: https://www.instagram.com/siliconvalleygirl/ 𝕏 : https://x.com/siliconvalleymm 💼 LinkedIn: https://www.linkedin.com/in/marinamogilko 📌 My Companies & Products: https://partnerships.marinamogilko.co #SiliconValleyGirl #Podcast
SPEAKERS
Ethan Mollick
guestWharton professor of entrepreneurship and innovation who leads Wharton’s Generative AI Lab and researches practical uses of generative AI.
Marina Mogilko
hostEntrepreneur and creator who hosts Silicon Valley Girl with Marina Mogilko and interviews tech and business leaders.
EPISODE SUMMARY
In this episode of Silicon Valley Girl, featuring Ethan Mollick and Marina Mogilko, Wharton’s Top AI Professor: Stop Starting Software Companies — The Real AI Money Is Here explores AI rewards domain experts who manage agents, not SaaS copycats Ethan Mollick says AI expands what individuals can build quickly, raising the ambition ceiling and enabling subject-matter experts to create real software and prototypes without relying on technical cofounders.
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