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Shownotes
What We Cover
• Why product management isn’t dying—but changing
• The rise of the “product builder” foundation
• The 80/20 shift: AI handles patterns, humans handle hard problems
• Why functional expertise still matters
• The risk of ignoring AI in your craft
• What product leaders must do to create safe AI infrastructure
• How job descriptions and hiring expectations are already shifting
Key Takeaways
• AI changes the baseline skill set across product teams.
• Smaller, more cross-functional teams are likely.
• Deep expertise still matters—especially for complex trade-offs.
• If you’re not learning AI tools, you’re falling behind.
• Leaders need guardrails: security, QA, and review systems built for an AI-driven workflow.
Resources & Links:
• Follow Teresa Torres: ProductTalk.org
• Follow Petra Wille: Petra-Wille.com
Mentioned in the episode:
• Product at Heart (productatheart.com) (June, Hamburg)
• Tools like Replit (replit.com) and Lovable (lovable.dev)
• Every (every.to)
• Petra’s Coaching Packages (petra-wille.com/coaching-packages)
• Coding agents (Claude Code (claude.com/product/claude-code), Codex (openai.com/codex)) and LLMs (GPT 5.2 (chatgpt.com), Opus 4.5 (anthropic.com/claude/opus))