The AI Question Product Teams Aren’t Asking: What Happens to PMs and POs?

AI is accelerating product development faster than ever—but product roles haven’t caught up. Todd Blaquiere, Ryan Cantwell, and Joe Ghali tackle the question teams are avoiding: what happens to product managers and product owners in an AI-driven world? The conversation draws a line between execution and real product thinking. Tasks like writing tickets, acceptance criteria, and documentation are increasingly handled by AI, putting pressure on roles built around those activities. But roles don’t disappear—they evolve. Product managers must shift from managing delivery to owning decisions, understanding the business, and driving real value. The team also debates the future of the product owner. While the “ticket writer” fades, a clarity owner remains—connecting strategy to execution and keeping teams aligned as complexity grows. From there, the focus turns to what stays human: customer understanding, real discovery, and emotional intelligence—things AI can support, but not replace. At the center is one idea: the real moat isn’t execution—it’s business understanding. If you’re trying to figure out where you fit in an AI-driven product world, this episode will challenge how you think about your role. Pull up a chair and join the conversation on the porch. Time Stamped Notes:  **Introduction and Setting the Stage** [00:00] AI vs roles – AI is accelerating delivery faster than roles can evolve. [00:45] The core question – What happens to PMs and POs in this shift? [01:30] From fear to focus – Moving from “who loses jobs” to “what skills matter.” **Shifting Product Roles** [02:30] Execution work fades – Tickets, ACs, and docs increasingly handled by AI. [03:45] Role pressure – Execution-heavy roles begin to lose relevance. [05:00] PM evolution – Shift from delivery management to decision ownership. **The Future of the Product Owner** [06:15] Ticket writer decline – Traditional PO work becomes automated. [07:30] Clarity owner – Need for sequencing, alignment, and readiness remains. [08:45] Enterprise complexity – Dependencies and coordination still require humans. **AI Agents and Product Work** [10:00] AI in practice – Agents generating requirements and product artifacts. [11:30] Lower barrier – Less-experienced team members can produce quality output. [12:45] New role – PMs begin coordinating and leveraging AI agents. **What Stays Human** [14:00] Customer understanding – Real conversations drive better insight. [15:30] Limits of AI – AI can replicate patterns, not authentic empathy. [17:00] Emotional intelligence – Influence, trust, and buy-in remain human skills. **The PM’s Moat: Business Understanding** [18:30] Business context – Understanding value flow and market matters most. [20:00] Decision-making – PMs must own trade-offs, not defer to AI. [21:30] Systems thinking – Seeing the full business and product ecosystem. **The Future Product Team** [23:00] Agent orchestration – PMs manage systems of humans and AI. [24:30] Role convergence – PM, UX, and engineering boundaries blur. [26:00] Changing ratios – Fewer engineers per PM as AI increases leverage. **Closing Thoughts** [28:00] Are we ready? – Many PMs aren’t set up for this shift yet. [29:30] How to prepare – Focus on business, customers, and systems. [31:00] Optimistic future – Strategy and product thinking matter more than ever. Help keep the Product Porch lights on by giving at https://www.patreon.com/TheProductPorchJoin our email list and never miss an episode at theproductporch.com