Why every company now needs to think and operate like a lab team | Josh Woodward (Google Labs, Gemini, AI Studio)
October 11, 2026 · 1 h 2 min
🎙️ Full episode
DEBRIEFWritten and voiced by AI from the episode's audio
Josh Woodward, head of Google Labs, argues that every company must now operate like a lab team because AI capabilities are changing so rapidly. The core thesis is that organizations need dedicated frontier teams experimenting with the latest models to discover new possibilities before competitors do. Woodward shares hard-won lessons from running one of the world's longest-standing labs: the best ideas rarely come from design sprints but emerge organically from obsessed people building on weekends; product-market fit is detected through observation (watching people's eyes light up) rather than metrics; and the hardest part is knowing when to kill ideas—teams usually sense failure before leaders do. He emphasizes that labs must have structural independence, a clear mission (whether graduating features or inventing new categories), and a culture where people prioritize users over their own ego. Woodward also discusses how roles are blurring but specialties still matter, the importance of "explosive endurance" to sustain pace over time, and why principles and vision matter more than model benchmarks in building products people actually want.
🎧 AI Debrief
Show notes
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.
In our in-depth conversation, we discuss:
1. Why every company now needs to think and operate like a labs team
2. Where the best ideas really come from
3. The “almost possible” framework
4. How to recognize genuine product-market fit early
5. When to kill an idea
6. What skills are rising in value in the AI era
7. Why roles are not actually blurring into one universal builder role
8. How to set up your internal labs team
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Episode transcript: https://www.lennysnewsletter.com/p/why-every-company-now-needs-to-think
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Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0
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Highlights: https://lennyspodcast.com/mostreplayedmoments
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Where to find Josh Woodward:
• X: https://x.com/joshwoodward
• LinkedIn: https://www.linkedin.com/in/joshwoodward
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Where to find Lenny:
• Newsletter: https://www.lennysnewsletter.com
• X: https://twitter.com/lennysan
• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/
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In this episode, we cover:
() Introduction
() Why every company now needs to think like a labs team
() Where great ideas come from
() The “almost possible” framework
() Finding product-market fit
() Falling in love with the problem, not the solution
() When to kill an idea
() Overseeing Google Labs and the Gemini app
() Next consumer AI breakthroughs
() Google’s vision for a personal assistant
() What is overhyped and underhyped in AI right now
() Skills rising in value: unlearning rate, explosive endurance, trust
() Why roles are not blurring into one universal builder role
() Explosive endurance rhythms
() How planning has changed: rolling windows and 100-day milestones
() Labs lifecycle stages
() Tips for setting up an internal lab
() The future of products in an AI world
() Google Labs culture, rituals, and closing thoughts
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References:
All episodes of Lenny's Podcast: Product | Career | Growth →