Product Impact Podcast | AI Strategy, KPIs, Future of Work

Presented by PH1
  • 4.7 (3)
  • TECHNOLOGY
  • UPDATED WEEKLY

AI product strategy for product leaders, designers, and founders who need to make AI work — not just talk about it. Every week we break down enterprise AI adoption, agentic systems, physical AI, token economics, and real AI costs. Evidence-first — what's working, what's failing, and what to do about it. Built for the people responsible for shipping AI products that actually perform and proving the value when they do. News: https://productimpactpod.com Hosted by Arpy Dragffy Guerrero (PH1 — https://ph1.ca) and Brittany Hobbs (AI Value Acceleration — https://aivalueacceleration.com).

  1. 10. Why Most AI Customer Experiences Fall Flat [Rikki Singh, Twilio]

    MAY 11

    10. Why Most AI Customer Experiences Fall Flat [Rikki Singh, Twilio]

    Most enterprise AI investments in customer experience are stuck somewhere between a demo and a disappointment. The Qualtrics 2026 Customer Experience Trends Report found that nearly one in five consumers who used AI customer service saw zero benefit from the interaction. The bar for what enterprises are calling AI innovation is shockingly low, and customers feel it every time they're routed to a bot that reads from an FAQ. Rikki Singh leads product innovation at Twilio. Before Twilio she was at McKinsey, where she co-authored the definitive research on what makes a great PM. Before that she was a PM at Microsoft. She's now running the team behind what Twilio is calling its biggest launch in 17 years — an agent-native channel with conversation memory across voice, text, and email. In this episode we cover: ➜ Why most AI customer experiences are still just RPA with better packaging — and the right metric to anchor on instead ➜ Why token consumption made AI spend as unpredictable as AI ROI, leaving enterprise decisions with uncertainty on both sides ➜ Why the LLM wrapper creates false confidence — the model is not thinking, it's generating strings non-deterministically ➜ Vitamins vs painkillers: how to parse the signals customers don't say out loud from the ones that don't actually matter ➜ How to protect long-horizon bets inside a public company: separate PMs by horizon and celebrate what you disprove ➜ Why the brand owns the accountability when AI gets a high-stakes interaction wrong, regardless of which vendor caused it .................. If you found this episode useful, please like, share, and send it to anyone on your team who'd find it helpful. We built ⁠https://productimpactpod.com⁠ to be your AI product strategy and AI product news hub. Check it out. Thank you for listening to the Product Impact Podcast — if you have feedback, guest recommendations, or want to chat — contact us. Hosted by: ➜ Arpy Dragffy Guerrero — ⁠https://www.linkedin.com/in/adragffy/⁠ ➜ Brittany Hobbs — ⁠https://www.linkedin.com/in/brittanyhobbs/⁠ Go to Substack to get AI strategy frameworks, news, and jobs: ⁠https://productimpactpod.substack.com⁠ This episode was brought to you by: ➜ PH1 (⁠https://ph1.ca⁠) — an AI strategy consultancy specialized in improving the measurable success of AI products. ➜ AI Value Acceleration (⁠https://aivalueacceleration.com⁠) — The consultancy specialising in enterprise value creation. Make sure that your spending doesn't go to waste. Find out exactly where the value creation of adopting AI products stalls.

    45 min
  2. 9. Shipping AI Fast Without Breaking Everything [John Willis, 6x author]

    APR 30

    9. Shipping AI Fast Without Breaking Everything [John Willis, 6x author]

    Most companies are running AI in production right now without any plan to govern and secure their businesses. This week Claude Code wiped out a business' entire database in 9 seconds. Anything is possible when an agent is given access to everything without governance. John Willis co-wrote The DevOps Handbook a decade ago because software teams were shipping code the same way — fast, manual, no visibility. He sees the same pattern repeating with AI, and he has spent five decades watching what happens when the gap between vendor promises and operational reality gets this wide. He's written 6 books and also happens to be a historian about AI. In this episode we cover: Why shadow AI — no ban, no guidance, company data on personal phones — is the most dangerous place to beWhy higher throughput and higher instability at the same time is the predictable outcome of speed without feedback loopsWhy governance creates flow instead of stopping it — and how that lesson from DevOps applies directly to AI nowWhy most teams think they have AI observability when they actually have ML evaluation tools solving a different problemWhy every team — even a five-person startup with no CTO — needs digitally signed audit trails for agent decisionsWhat the history of AI winters and springs tells us about where we actually are in the current cycleIf you found this episode useful, please like, share, and send it to anyone on your team who'd find it helpful. We built https://productimpactpod.com to be your AI product strategy and AI product news hub. Check it out. Thank you for listening to the Product Impact Podcast — if you have feedback, guest recommendations, or want to chat — contact us. Hosted by: Arpy Dragffy Guerrero — https://www.linkedin.com/in/adragffy/Brittany Hobbs — https://www.linkedin.com/in/brittanyhobbs/ Featured guest: John is an accomplished author and innovative entrepreneur with over 35 years of experience in enterprise IT and research, driven by a deep passion for exploring the intersection of Generative AI and the transformative principles of Dr. W. Edwards Deming. He is the author of Rebels of Reason, a book that traces the history of artificial intelligence while uncovering the human stories behind its rise, connecting today’s AI landscape to the ideas and people that shaped the field and offering a unique perspective on its future in business. As a co-author of foundational DevOps works, John brings a rare blend of technical expertise and insight into the human dynamics of innovation, helping leaders cut through hype to focus on creating real customer value through a deeper understanding of AI’s context and systems. John’s LinkedIn: https://www.linkedin.com/in/johnwillisatlanta/ Link to John’s Book Rebels of Reason: https://www.amazon.com/Rebels-Reason-Aristotle-ChatGPT-Heroes-ebook/dp/B0FCD8TW8R Go to Substack to get AI strategy frameworks, news, and jobs: https://productimpactpod.substack.com This episode was brought to you by: PH1 (https://ph1.ca) — an AI strategy consultancy specialized in improving the measurable success of AI products.AI Value Acceleration (https://aivalueacceleration.com) — The consultancy specialising in enterprise value creation. Make sure that your spending doesn't go to waste. Find out exactly where the value creation of adopting AI products stalls.

    48 min
  3. 8. The Most Important Data Points in AI Right Now

    APR 24

    8. The Most Important Data Points in AI Right Now

    Stanford's 2026 AI Index just dropped. China closed a thirty-point AI performance gap to under three percent — on twenty-three times less investment. Apple picked their head of hardware as the next CEO. Anthropic's Mythos model found 271 zero-day vulnerabilities in Firefox. And Vercel and Lovable both got breached this month. We break down the numbers that should be on every product leader, designer, and founder's desk this week — what they mean, and exactly what to do about each one. In this episode we cover: ➜ Stanford AI Index 2026: 88% organizational adoption, $581 billion in investment, and why China closing the gap on a fraction of the budget is the most important data point in the report ➜ Token economics explained — what tokens are, what they cost, and why the shift from flat-rate licensing to usage-based pricing changes your AI budget math overnight ➜ Why replacing Figma with Claude Design costs $0.22 for a first draft and $2,600 at refinement scale — and what that reveals about real-world AI costs ➜ Why Apple chose John Ternus as CEO and elevated Johny Srouji to Chief Hardware Officer — and what that says about where AI value will actually live ➜ Mythos, Vercel, Lovable: why vibe coding has never been easier and information security has never been more important .................. If you found this episode useful, please like, share, and send it to anyone on your team who'd find it helpful. ⁠https://productimpactpod.com⁠ — Our news platform just launched. It is the best place to get the AI product news that matters. Hosted by: ➜ Arpy Dragffy Guerrero — ⁠https://www.linkedin.com/in/adragffy/⁠  ➜ Brittany Hobbs — ⁠https://www.linkedin.com/in/brittanyhobbs/⁠ Go to Substack to get AI strategy frameworks, news, and jobs: ⁠https://productimpactpod.substack.com⁠ This episode was brought to you by: ➜ PH1 (⁠https://ph1.ca⁠) — an AI strategy consultancy specialized in improving the measurable success of AI products. ➜ AI Value Acceleration (⁠https://aivalueacceleration.com⁠) — The consultancy specialising in enterprise value creation. Make sure that your spending doesn't go to waste. Find out exactly where the value creation of adopting AI products stalls. ........... Sources referenced in this episode: Stanford AI Index 2026 — https://productimpactpod.com/news/stanford-ai-index-2026-product-team-takeaways  Stanford: US can't buy an AI lead — https://productimpactpod.com/news/stanford-ai-index-proves-us-cant-buy-ai-lead  Claude Design vs Figma — https://productimpactpod.com/news/figma-claude-design-source-of-truth-for-design  Apple CEO transition — https://productimpactpod.com/news/how-tim-cook-leaves-apple-future-of-ai  Anthropic Mythos Preview — https://techcrunch.com/2026/04/07/anthropic-mythos-ai-model-preview-security  Vercel breach — https://techcrunch.com/2026/04/20/app-host-vercel-confirms-security-incident  Lovable vulnerability — https://thenextweb.com/news/lovable-vibe-coding-security-crisis-exposed  AI token pricing — https://www.cnbc.com/2026/04/17/ai-tokens-anthropic-openai-nvidia

    18 min
  4. 7: $490 Billion in AI Spend Is Delivering Nothing — Orchestration Is the Fix

    APR 17

    7: $490 Billion in AI Spend Is Delivering Nothing — Orchestration Is the Fix

    A small cohort of engineers — Andrej Karpathy, Mitchell Hashimoto, Simon Willison — are producing in a week what used to take a month. Meanwhile, seventy-eight percent of enterprise AI deployments show no bottom-line impact. Ninety-five percent of pilots fail within six months. The gap between the people getting extraordinary results and the organizations getting nothing is not talent. It's architecture. And it has a name. In this episode of the Product Impact Podcast, Arpy and Brittany break down why enterprise AI is failing at scale, what the engineers who are eighteen months ahead have figured out, and the two radically different futures that orchestration makes possible. In this episode we cover: The $490 billion AI value crisis — why adoption is surging and returns are near zero, and what Forrester, McKinsey, PwC, and Gartner are documentingFive failure patterns hiding inside every enterprise deployment — and why more training, more change management, and more executive support won't fix any of themThe pioneers building the future of work in public — Karpathy's vibe coding, Hashimoto's production-code throughput, Willison's hundreds of public experiments — and what they've proven about orchestration as engineering disciplineTwo outcomes of orchestration that most organizations aren't ready for: building bespoke deterministic software at a scale that was never economic before, and building an operating system where agents work autonomously on your behalfWhy markdown — not PDFs, not databases, not dashboards — is emerging as the knowledge substrate for the agent era, and why Karpathy himself is now calling for AI to organize wikis rather than chat "These are not technology failures. They are failures of imagination about what work actually is and how AI fits into the way we work." — Arpy Dragffy "The primary failure mode in AI adoption is not capability. It is transferability." — Brittany Hobbs (citing Harvard Business Review) https://productimpactpod.com 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/ Go to Substack to get AI strategy frameworks, news, and jobs: https://productimpactpod.substack.com This episode was brought to you by:PH1 (https://ph1.ca) — an AI strategy consultancy specialized in improving the measurable success of AI products .AI Value Acceleration (https://aivalueacceleration.com) — The consultancy specialising in enterprise value creation. Make sure that your spending doesn't go to waste. Find out exactly where the value creation of adopting AI products stalls.

    29 min
  5. 6. Robert Brunner Was the Secret to Beats' & Apple's Success — Now He's Redefining AI for the Physical World

    APR 9

    6. Robert Brunner Was the Secret to Beats' & Apple's Success — Now He's Redefining AI for the Physical World

    The Apple Industrial Design Group. The original PowerBook. Beats by Dre. The June Oven. The Polaroid Cube. Square Stand. Lyft Amp. One designer is behind all of them. Now Robert Brunner is turning his attention to something the entire AI industry is getting wrong: how intelligence should actually feel in the physical world. In this episode of the Product Impact Podcast, Robert Brunner — founder of Apple's Industrial Design Group, the man who hired Jony Ive, design partner on Beats by Dre, and founder of Ammunition — makes the case that the next generation of AI products needs less technology and a lot more taste. In this episode we cover: ➔ Why the best AI feature is the one you never notice — and why engagement-driven AI is already eroding the trust every product is built on ➔ The Apple and Beats lesson every AI founder should steal: technology enables, but design establishes ➔ Why "AI for everyone" is the trap that guarantees mediocrity — and how to pick the right audience without shrinking the market ➔ The cognitive asset AI will never have: taste, insight, and judgment shaped by a life actually lived ➔ What Brunner's new venture Object is building: calmer, distributed consumer AI that respects attention instead of competing for it "The companies that build things that matter always have a clear point of view about people." — Robert Brunner "The next great technology companies will be the ones people trust with their lives, not just their data." — Robert Brunner Robert Brunner founded Apple's Industrial Design Group (Apple IDg), hired Jony Ive, and led the design of the original Macintosh PowerBook and Newton. After a partnership at Pentagram, he founded Ammunition in 2007, where he co-created Beats by Dre with Jimmy Iovine and Dr. Dre and designed the June Intelligent Oven, Polaroid Cube, Square Stand, Lyft Amp, and the Limitless Pin. He is co-author of Do You Matter? How Great Design Will Make People Love Your Company and is currently building Object, a new venture developing AI-powered consumer electronics designed to improve digital wellbeing. Ammunition Group — https://ammunitiongroup.comRobert Brunner on LinkedIn — https://www.linkedin.com/in/robertbrunner/Do You Matter? How Great Design Will Make People Love Your Company — https://www.amazon.com/Matter-Great-Design-People-Company/dp/0137142447Robert Brunner on Prototyping Your Life, Leaving Apple, and Forging Beats by Dre (Yanko Design) — https://www.yankodesign.com/2025/09/28/robert-brunner-on-prototyping-your-life-leaving-apple-and-forging-beats-by-dre/ https://productimpactpod.com 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/ Go to Substack to get AI strategy frameworks, news, and jobs: https://productimpactpod.substack.com This episode was brought to you by: PH1 (https://ph1.ca) — an AI strategy consultancy specialized in improving the measurable success of AI products. AI Value Acceleration (https://aivalueacceleration.com) — The consultancy specialising in enterprise value creation. Make sure that your spending doesn't go to waste. Find out exactly where the value creation of adopting AI products stalls.

    45 min
  6. 5. The Human Impact of AI We Need to Measure [Helen & Dave Edwards]

    MAR 30

    5. The Human Impact of AI We Need to Measure [Helen & Dave Edwards]

    We have benchmarks for model performance, metrics for productivity, and KPIs for everything the economy can quantify. But the impact of AI on how we think, who we become, and what we lose in the process? Nobody's measuring that — because nobody knows how. Helen and Dave Edwards have spent a decade studying what AI does TO humans, not just what it can do for us. In this episode, they challenge the binary of AI hype vs. AI fear and lay out a framework for something far more important: cognitive sovereignty — our ability to remain the authors of our own thinking in an era of automated cognition. In this episode of the Product Impact Podcast: Why the AI industry's business model is capital replacing labor — and why that's a path to economic collapse, not growthThe concept of cognitive sovereignty and why preserving your ability to think independently is the real competitive advantageResearch showing AI is increasing scientific citations but decreasing exploration — pulling everyone toward the medianWhy the one-person billion-dollar company is a fantasy that breaks down the moment you do the mathThe products getting it right: Bass (trust-first healthcare AI), Latimer (data sources that don't exist anywhere else), and creative tools treating AI as collaborator, not replacement "If AI can replace the humans in your business, does your business have any value at all?" — Dave Edwards "There is no point having this technology if it makes us dumber, if it makes us less kind, if it makes us more lonely, if it makes us less able to show up for others." — Helen Edwards Helen and Dave Edwards are researchers and founders of the Artificiality Institute, where they lead a transdisciplinary community of scientists, designers, philosophers, and artists exploring what it means to be human in the age of AI. They are currently publishing Stay Human — a chapter-by-chapter book on how AI changes our thinking, identity, and relationships. Guest resources: Artificiality Institute — https://artificiality-institute.orgStay Human (free, published weekly) — https://journal.artificiality-institute.orgLinkedIn: Helen Edwards (https://www.linkedin.com/in/helenedwards/) | Dave Edwards (https://www.linkedin.com/in/daveedwards/) Artificiality Summit 2026 — Oct 22-24, Bend, Oregon. A human gathering to figure out what it means to be human. Learn more at artificiality-institute.org productimpactpod.com 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/Go to Substack to get AI strategy frameworks, news, and jobs: https://productimpactpod.substack.com This episode was brought to you by: PH1 (https://ph1.ca) — an AI strategy consultancy specialized in improving the measurable success of AI products. AI Value Acceleration (https://aivalueacceleration.com) — The consultancy specialising in enterprise value creation. Make sure that your spending doesn't go to waste. Find out exactly where the value creation of adopting AI products stall

    57 min
  7. 4. The AI Agent Era Will Change How We Work

    MAR 19

    4. The AI Agent Era Will Change How We Work

    AI went from chatbots to assistants to agents in three years — and each era moved the failure one layer deeper. First we got wrong answers, then wrong context, now wrong actions. The tools are moving at an extraordinary pace, and almost nobody is keeping up. In this episode of the Product Impact Podcast we tackle The Agents Era Will Change How We Work: * Why vibe coding was the proof of concept for the entire agent era * Agents aren't automating tasks — they're automating your thinking * Why you'll be using a dozen agents within a year, not because you chose to, but because the work will demand it * The better you understand how you think, the more you'll succeed with agents * How we need to retrain ourselves — because decades of linear, process-driven work haven't prepared us for this * The startups most people haven't heard of that are already replacing how entire functions operate https://productimpactpod.com 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/ Go to Substack to get AI strategy frameworks, news, and jobs:https://productimpactpod.substack.com This episode was brought to you by: PH1 (https://ph1.ca) — an AI strategy consultancy specialized in improving the measurable success of AI products. AI Value Acceleration (https://aivalueacceleration.com) — The consultancy specialising in enterprise value creation. Make sure that your spending doesn't go to waste. Find out exactly where the value creation of adopting AI products stalls.

    47 min
  8. 3. Win The AI Context Wars — Unlock The Value of Data [Juan Sequeda ]

    MAR 12

    3. Win The AI Context Wars — Unlock The Value of Data [Juan Sequeda ]

    Benchmark wars are over. Claude Code just proved it — the AI products winning right now aren't the ones with the best models, they're the ones that know their customers best. Context is the new moat. Juan Sequeda has spent 20 years solving the problem most product teams don't even know they have: your AI is only as powerful as your business's ability to predict what a customer wants to do and why. That intelligence isn't in the model — it's buried in your data. And the secret to unlocking it isn't writing better skills files or crafting smarter prompts. It's re-architecting how your business knowledge is structured, connected, and made available to AI. Juan shows you exactly how. Product teams who've made this move are seeing accuracy improvements of over 50%, and every new use case they ship compounds on the last. In this episode of the Product Impact Podcast, Juan introduces his three-layer knowledge framework — business metadata, technical metadata, and the mapping layer that connects them — and shows how this foundation transforms what your AI can deliver. You'll leave with a clear starting point, a way to tie your AI investment directly to business outcomes, and a mental model for how the best product teams are pulling ahead. This will only grow as we depend on agents and governance becomes more critical. In this episode you'll learn: ➡️ Why context — not model quality — is now the primary driver of AI product performance ➡️ The three-layer knowledge framework that gives AI a shared language across your entire organization ➡️ Three concrete first steps to build your context foundation starting tomorrow ➡️ How to tie every AI initiative directly to your company's top OKRs and earn lasting executive buy-in ➡️ Why knowledge-first teams compound their advantage — each new use case gets faster and more powerful Thank you for listening to the Product Impact Podcast (formerly Design of AI) — Prove impact. Improve impact. Scale impact. Go to productimpactpod.com to rate the impact of AI products you use at work. 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. About our guest Juan Sequeda is Principal Scientist and Head of the AI Lab at data.world, now part of ServiceNow. He has spent 20 years at the frontier of knowledge graphs, ontologies, and semantic architecture — focused on one question: how do you give AI a genuine understanding of your business so it can deliver answers you can actually trust? His lab's research proved that pairing knowledge graphs with LLMs improves enterprise question-answering accuracy by over 50% — findings that helped define the industry's thinking on context and AI reliability. He co-founded Capsenta (acquired by data.world), coined the concept of "context wars," and recently published his landmark LinkedIn series: "20 Lessons from 20 Years of Building Ontologies and Knowledge Graphs." He also co-hosts Catalog & Cocktails, one of the most respected podcasts in the data community, and publishes regularly on LinkedIn and Substack. Resources ➡️ Juan Sequeda on LinkedIn: https://www.linkedin.com/in/juansequeda ➡️ Catalog & Cocktails Podcast: https://data.world/podcasts/catalog-and-cocktails ➡️ Juan's Substack: https://juansequeda.substack.com ➡️ "20 Lessons from 20 Years of Building Ontologies and Knowledge Graphs" — https://www.linkedin.com/posts/juansequeda_i-finished-posting-my-20-lessons-from-20-activity-7429147437681864704-C7ki/ ➡️ Software Wasteland — Dave McComb ➡️ The Data-Centric Revolution — Dave McComb

    52 min
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4.7
out of 5
3 Ratings

About

AI product strategy for product leaders, designers, and founders who need to make AI work — not just talk about it. Every week we break down enterprise AI adoption, agentic systems, physical AI, token economics, and real AI costs. Evidence-first — what's working, what's failing, and what to do about it. Built for the people responsible for shipping AI products that actually perform and proving the value when they do. News: https://productimpactpod.com Hosted by Arpy Dragffy Guerrero (PH1 — https://ph1.ca) and Brittany Hobbs (AI Value Acceleration — https://aivalueacceleration.com).

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