# EP 155 - Reshaping product development for AI’s impact with Gil Broza

Page: https://stenobird.com/podcast/product-for-product-management-3487998/ep-155-reshaping-product-development-for-ai-s-impact-with-gil-broza
Text version: https://stenobird.com/podcast/product-for-product-management-3487998/ep-155-reshaping-product-development-for-ai-s-impact-with-gil-broza.md
Podcast: [Product for Product Management](https://stenobird.com/podcast/product-for-product-management-3487998)
Published: 2026-05-27T06:00:03+00:00
Episode link: https://www.spreaker.com/episode/ep-155-reshaping-product-development-for-ai-s-impact-with-gil-broza--71852958
Audio file: https://api.spreaker.com/download/episode/71852958/ep_155_reshaping_product_development_for_ai_s_impact_gil_broza.mp3
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Duration seconds: 3075

## Resource

This conversation with Gil Broza goes straight at a question many product leaders are quietly wrestling with: how do you bring AI into product development without breaking everything that already works? Gil, author, coach, and long-time agility expert, returns to talk with Matt and Moshe about “reshaping product development for AI’s impact,” focusing not on building AI features, but on how AI is changing the way product and engineering teams work day to day. He argues that while AI massively increases speed and output, it doesn’t change the fundamentals of good product development: clear direction, evidence-based judgment, solid technical foundations, and healthy teams. Join Matt and Moshe as they explore with Gil: - Why AI is a “turbo engine in a car with old brakes” if you drop it into a system designed for human speed. - How leaders confuse more output with more value, and why faster code can just mean “legacy code years ahead of schedule”. - The difference between real agility and “performative Agile” (ceremonies, Jira theater) when AI tools are doing more of the work. - How to think in systems: what you’re actually optimizing for (predictability, innovation, time-to-value) and how AI changes the constraints and feedback loops in your org. - Practical blind spots leaders miss with AI adoption: - Treating AI as an implementation, not a transformation - Ignoring cognitive load and burnout when people work all day with agents - Shrinking teams for “efficiency” and accidentally increasing isolation - The three main ways to use AI in product development, and why you should be explicit about each: - As a pairing partner (thinking, coding, design) - As an autonomous agent - As “just” automation (summaries, note-taking, etc.) - Why skipping prototyping and experiments is n…

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## Transcript

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