AI is entering an abundance era: models get smarter, faster, and cheaper—so capability alone is no longer defensible. Feature cloning accelerates, pricing compresses, and many application-layer products get sampled and abandoned unless they prove measurable outcomes and earn long-term commitment.In this episode of the Product Impact Podcast, we break down why defensibility now matters more than capability—and what to do about it. You’ll leave with five actions to take this quarter: run a silent failure audit, map peak cost exposure, stress-test defensibility, fix the missing middle in pricing for power users, and build outcome visibility directly into the product.➡️ Dangerous economics of a capital-rich and value-poor market➡️ Master the unit economics of power users➡️ Proof that capability is no longer defensible➡️ 5 steps to defend your product valueYou’ll leave with five concrete actions to take this quarter because in a market where everyone has access to the same models, your moat is not capability. It’s customer success, trust, and measurable impact.Links & resourcesRead the strategy we reference: https://ph1.ca/blog/strategy-for-measuring-improving-ai-productsTake the AI Benchmarking Survey (measure your product’s impact): [LINK TBD]Thank you for listening to the Product Impact Podcast (formerly Design of AI) — Prove impact. Improve impact. Scale impact.Hosted by:Arpy Dragffy Guerrero — https://www.linkedin.com/in/adragffy/Brittany Hobbs — https://www.linkedin.com/in/brittanyhobbs/Support the show: subscribe, share this episode with a product leader, and leave a rating/review—it’s how this podcast reaches the teams building what comes next.Subscribe for frameworks + AI strategy resources: https://productimpactpod.substack.comBrought to you by PH1 (https://ph1.ca) — an AI strategy consultancy specialized in improving the measurable success of AI products.

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