
The AI paradox: More automation, more humans, more work | Dan Shipper
Lenny's Podcast: Product | Career | GrowthShow Notes
Dan Shipper is the co-founder and CEO of Every, a media and software company that’s become a living laboratory for the future of work. Everyone at his company of about 30 people is an AI early adopter; from editors to ops people, they use AI to do much of their work, giving Every a unique lens into where the world is heading. A year ago on this show, Dan predicted that people were sleeping on Claude Code for nontechnical work, which proved to be remarkably prescient. Today he’s back with another set of calls: the SaaS apocalypse is dumb, CLIs are over, the forward deployed engineer is the most valuable new hire, and the only thing you need to do to stay employed is ride the models.
Dan’s predictions: 1. The future of work will happen inside Codex or Claude Code. 2. Every company will have one “super-agent” inside their Slack that every employee talks to regularly. 3. SaaS is not dead—in fact, Dan is bullish on SaaS stocks. His contrarian take: “I would buy SaaS stocks right now.” 4. SaaS economics will shift: users will bring their own AI tokens into apps, which actually improves SaaS margins. 5. PMs will thrive in the AI era. 6. Full-stack designers will become superheroes. 7. The AI job apocalypse is not happening. 8. Forward deployed engineer is the new most essential role. 9. CLIs are over. 10. Automation is a lie. 11. We will read way more AI-generated writing and we will like it. 12. We’ll be building software for humans and agents to use together. — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/the-ai-paradox-dan-shipper — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Dan Shipper: • X: https://x.com/danshipper • LinkedIn: https://www.linkedin.com/in/danshipper/ • Podcast: https://every.to/podcast • Website: https://danshipper.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 Dan Shipper (02:56) Dan’s unique position living in the AI future (09:17) How the way we work will change in the coming year (16:39) The case for general agents (18:08) Codex and Claude Code as the new operating system for work (25:39) How Cursor fits in (27:42) How this changes what SaaS companies should build (31:13) Why CLI is already over (33:34) Two agents are better than one (36:22) Why Dan is bullish on SaaS stocks (39:01) Why automation doesn’t reduce human work (47:00) The value of human-written code (48:36) Quick recap (50:15) How work is changing (56:17) Why data scientists are drowning in bad analysis (58:24) Which product/tech roles are least changed by AI (1:02:17) We will read way more AI-generated writing and we will like it (1:08:28) Why product managers will dominate the AI era (1:11:05) Full-stack designers are the other big winners (1:13:11) The AI job apocalypse won’t happen (1:16:00) How to “ride the models” to stay relevant (1:21:02) Final predictions and advice (1:25:24) Lightning round — References: https://www.lennysnewsletter.com/p/the-ai-paradox-dan-shipper — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected]. — Lenny may be an investor in the companies discussed.
To hear more, visit www.lennysnewsletter.com
More from Lenny's Podcast: Product | Career | Growth
Emmanuel Ameisen is an interpretability researcher at Anthropic, where he looks inside LLMs like Claude to understand how they think. Before joining Anthropic, he spent years in applied ML at Stripe and Insight, and is the author of Building Machine Learning Powered Applications. His research has produced some of the most striking findings in the field: that models form general representations of concepts, plan many tokens ahead without stating those plans explicitly, and may exhibit something structurally similar to the distinction between conscious and unconscious processing in humans.
Josh Woodward is the head of Google Labs, the Gemini app, and AI Studio. He has spent over 17 years at Google and oversees its longest-running and largest labs team, whose products include NotebookLM (now Gemini Notebook), Project Genie, and Flow. His job is to find, experiment with, and scale new AI products, and he has built one of the most distinctive product cultures in the industry for generating ideas, running experiments, and, even more importantly, knowing when to quit.
Tibo Sottiaux leads ChatGPT and Codex at OpenAI. Under his stewardship, OpenAI has shipped some of its most consequential consumer launches: Codex, ChatGPT Work, and most recently, the new Dots personal agent platform. He joined me at DevDay, hours after his team launched more than 20 new products, to talk about where things are heading.
Molly Graham is back for round two, and this one is even more powerful. Molly has spent more than 20 years helping organizations and the humans inside them navigate growth and change. She’s held leadership roles at Google, Facebook, Quip, and the Chan Zuckerberg Initiative and is the host of TED’s WorkLife podcast (which she took over from Adam Grant). She also runs Glue Club, a leadership community for senior operators, and writes a popular newsletter called Lessons.
Peter Sellis was the first product manager at Snapchat, where he spent seven years building one of the most beloved consumer products in history. He went on to serve as Head of Product at Discord, where he helped drive some of the fastest user growth the platform had seen. Having left his role at Discord, he gets to be especially real and unfiltered — nothing to promote, no PR, no comms team.