EP 155 - Reshaping product development for AI’s impact with Gil Broza
Product for Product ManagementShow Notes
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 now “less excusable” when AI can create testable prototypes in hours instead of weeks. - What changes (and doesn’t) in roles like PM, engineer, and scrum master when AI becomes a real team member. - Concrete steps leaders can take: apply systems thinking, revisit mindset and values, redesign ways of working for AI-speed conditions, and invest in continuous improvement again. - How Gil’s new courses (“Reshaping Product Development for AI’s Impact” and “Leading AI-Enabled Product Teams”) help product and engineering leaders do this work intentionally.
Want to go deeper or work with Gil? - Website & courses: https://3pvantage.com/ - Newsletter & articles: https://3pvantage.com/subscrib.../ - LinkedIn: https://www.linkedin.com/in/gi.../
You can also connect with us and find more episodes: - Product for Product Podcast: http://linkedin.com/company/pr...-podcast - Matt Green: https://www.linkedin.com/in/ma... - Moshe Mikanovsky: http://www.linkedin.com/in/mikanovsky
Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.
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