A rational conversation on where AI is actually going | Benedict Evans (1h 20m)

ai-driven-innovation-economy

ai-in-workforce-disruption

ai-investment-trends

ai-driven-innovation-economy ai-in-workforce-disruption ai-investment-trends

Release date: 2026-05-31
Listen on Spotify: Open episode

Episode description:

Benedict Evans is an independent analyst and former partner at Andreessen Horowitz, where he spent years as their in-house “thinker” tracking the most important technology trends. For the past six years, he’s been publishing deeply researched presentations on where tech is heading, most recently focused on AI’s transformation of the economy. His work is read by founders, investors, and operators trying to make sense of a noisy field. His most controversial opinion: AI is as big a deal as the internet or mobile—and only as big.In our in-depth conversation, we discuss:Why we’re in “1997” for AI—early, exciting, and deeply uncertain about what comes nextWhere value will actually accrue in the AI stackThe anti-AI backlash, and where it may leadThe surprising boom in consulting and professional services at AI companiesWhy distribution is becoming the ultimate moat as software gets easier to buildWhy the right question about your job isn’t “What percent can AI do?” but “Is this a task or a job?”Why things will probably be okay—and what you need to do to prepare—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/a-rational-conversation-on-where—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Benedict Evans:• LinkedIn: https://www.linkedin.com/in/benedictevans• Newsletter: https://www.ben-evans.com/newsletter• Website: https://www.ben-evans.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Benedict Evans(02:19) What people aren’t pricing in about AI’s impact(06:24) Why we’re in the 1997 moment of AI(09:44) The unexpected boom in professional services and consultants(17:44) Why distribution is becoming the ultimate moat(23:17) The coming job transformation: what’s real vs. panic(27:33) Why AGI definitions keep shifting(38:11) Where value will accrue: models vs. applications(42:55) Distribution wars: Google, Meta, Apple, and OpenAI(48:12) The anti-AI sentiment and backlash(53:11) How to raise kids in an AI future(58:27) What jobs to steer toward or away from(59:20) The question nobody’s asking about AI(1:06:25) How to be successful in this coming future(1:08:43) AI corner(1:11:43) Lightning round—Referenced:• Andreessen Horowitz: https://a16z.com• AI Eats the World: https://youtu.be/niJpDnNtNp4• VisiCalc: https://en.wikipedia.org/wiki/VisiCalc• McKinsey & Company: https://www.mckinsey.com• Bain & Company: https://www.bain.com• Accenture: https://www.accenture.com• Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox• Benedict’s post on LinkedIn about Excel: https://www.linkedin.com/posts/benedictevans_younger-people-may-not-believe-this-but-activity-7303217994459938816-PNqu• The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder/CEO of Every): https://www.lennysnewsletter.com/p/inside-every-dan-shipper• Dario Amodei on X: https://x.com/DarioAmodei• Marc Andreessen: The real AI boom hasn’t even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• Frame.io: https://frame.io• Food Marketing Institute: https://en.wikipedia.org/wiki/Food_Marketing_Institute• Llama: https://www.llama.com• Steven Sinofsky on X: https://x.com/stevesi...References continued at: https://www.lennysnewsletter.com/p/a-rational-conversation-on-where⁠—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.

Summary

🌍 AI as Platform Shift: AI matches the internet/mobile in scale but we’re still in early 1997-like stages with uneven adoption and unknown future applications.
💼 Jobs Evolve, Not Vanish: Historical patterns show automation destroys old roles but creates new ones; leading AI firms are actively hiring more people.
📈 Value Moves Up the Stack: Foundation models risk commoditization; most value likely accrues to applications and services built on top of them.
❓ Embrace Radical Uncertainty: Predictions are unreliable; success comes from experimenting with AI rather than resisting or overhyping its immediate effects.
🧠 Focus on the Job, Not Just the Task: Many roles involve judgment, context, and relationships beyond automatable tasks, as seen in consulting, law, and creative fields.

Insights

How should individuals and companies respond to AI given that we cannot predict which jobs or tasks will be exposed next?
- Time: 0:56 – 1:14
- Answer: Past technologies like spreadsheets automated tasks but unlocked new work; the advice is to dive in and experiment rather than resist, as the jagged frontier of AI capabilities remains unpredictable.
Is AI truly only as transformative as the internet or mobile, or could it exceed those shifts in scale?
- Time: 2:48 – 3:52
- Answer: Benedict Evans positions AI at a 1997-equivalent stage of the internet, where adoption is uneven, most applications remain unbuilt, and hype often overstates immediate disruption.
Why do AI labs keep hiring more humans instead of automating jobs away, and what does this reveal about real-world AI deployment?
Where in the AI value chain will most economic value ultimately accrue—foundation models or the application layer above them?