AI Transforms Product Management: From Rowing to Steering

Aug 30, 2026 · Lenny's Podcast
🎧 PodShort 43 min squeezed to 2 AI SprinklerAS Sales Tech New
Episode artwork
Tara Seshadri
Product Lead for Codex and ChatGPT Work at OpenAI
Lenny's Podcast
43 min squeezed to 2
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Quotable Moments

In this market, it's so hard to understand what is going to emerge in the future. You fail if you build for where the models are now. You fail if you build for where you think the models will be in a year. Both outcomes are equally wrong. The only way to build is two to three months out.

Tara SeshadriProduct Lead for Codex and ChatGPT Work at OpenAI
05:40

Elevating others' ambitions or reminding them of what's possible here is a huge part of the product management role.

Tara SeshadriProduct Lead for Codex and ChatGPT Work at OpenAI
19:40

The first era of AI products is chat. The second era of these products is working with agents. The third era that might come soon is how do you work with a persistent co-worker who is able to get things done with you.

Tara SeshadriProduct Lead for Codex and ChatGPT Work at OpenAI
23:00
Key Insights
  • OpenAI's culture is unique because it is 'founders-led,' meaning everyone in the company, especially in product, acts like a founder, with minimal top-down direction.
  • In a fast-changing market like AI, being prolific and empirical is more important than being academic or theoretical; the focus should be on quickly trying and testing ideas with users.
  • The future of work will increasingly involve 'steering' rather than 'rowing,' with AI agents handling more of the tactical tasks, and humans focusing on direction and high-level decision-making.
  • The most effective people using AI tools don't just automate rote tasks but expand the range of things they are capable of doing, allowing them to realize their visions with higher fidelity.
  • The biggest challenge in this new AI era is expanding one's thinking about what's possible in an unreasonably short timeframe, as capabilities have dramatically outpaced traditional thought processes.
  • Product marketing fit, or the way a product is talked about and positioned, can and should precede even building the product, by refining the narrative with potential users before committing to the product shape.
  • Writing as thinking, where the act of writing helps clarify ideas, should never be automated, while writing as reporting (summarizing status, plans) can be happily automated with AI.
  • Knowledge work, unlike coding, requires a deeper focus on the process, inputs, and reasoning behind AI's output, making it crucial for AI products to act as collaborators that show their work.
Metrics Mentioned
  • 100 million monthly active users (ChatGPT's rapid growth, reaching 100 million monthly active users.)

RevBots.ai View:

  • AI Sprinkler stage: AI tools automate tasks but lack deep integration into workflows.
  • ARM stage: AI agents act as persistent co-workers, enabling strategic focus.
  • Elevating ambition and rapid iteration are key for AI-driven product management.
  • Transparency in AI reasoning is essential for trust in knowledge work.
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