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Product Impact Podcast | Secrets to unlocking the value of AI

Presented by PH1

Product Impact Podcast | Secrets to unlocking the value of AI

Presented by PH1

No-nonsense advice and strategies from AI product leaders, designers, and researchers Learn how to overcome adoption barriers and scale impact across teams and customer bases. Our audience learns powerful insights that will shift how they think about and leverage AI. At the core is how to improve the UX of using AI and to enhance the quality and consistency of the products we depend on most for work. Resources and playbooks: https://productimpactpod.com Hosted by Arpy Dragffy Guerrero (PH1 — https://ph1.ca) and Brittany Hobbs (AI Value Acceleration — https://aivalueacceleration.com).

Aug 19

20. AI Shouldn't Be Like Bolting a Spoiler on a Crummy Honda (Sentient Design Authors Josh Clark & Veronika Kindred)

Two years ago, Josh Clark and Veronika Kindred previewed a book about a coming era of sentient digital experiences on this show. That book, Sentient Design, is out now — and the future it predicted arrived faster than most companies' data, governance, or r...

20. AI Shouldn't Be Like Bolting a Spoiler on a Crummy Honda (Sentient Design Authors Josh Clark & Veronika Kindred)

Aug 06

19. Upgrade from Vibe Coding to AI-Native Product Design (Metalab's Myles Palmer)

Metalab has spent the last 20 years designing products for Windsurf, Midjourney, Suno, The Atlantic, and Uber. AI has made feature parity between products fast and cheap — anyone can ship the same baseline in a fraction of the time it used to take. Design ...

19. Upgrade from Vibe Coding to AI-Native Product Design (Metalab's Myles Palmer)

Jul 29

18. Why are tech workers SO unhappy about AI?

Tech workers are so pessimistic about their own careers that most wouldn't recommend the field to a friend starting out. Eighty-two percent say AI made them more productive — but the bar resets every quarter, so the exhaustion never ends. Burnout hit 55.7%...

18. Why are tech workers SO unhappy about AI?

Jul 20

17. Your AI Product is Failing — Microsoft's UXR Team Knows Why

In our last episode, Stanford NLP researcher Dr. Moritz Sudhof showed that 79% of AI product failures are invisible — they don't fire alerts, don't surface in telemetry, and don't get flagged by users, and they quietly erode trust and accelerate churn. Thi...

17. Your AI Product is Failing — Microsoft's UXR Team Knows Why

Jul 08

16: Invisible Failures: Stanford's Research on 100K AI Conversations — Moritz Sudhof, Bigspin AI

KPMG pulled a report this year after its team accepted hallucinated information without question. Latham & Watkins submitted a court filing built on fabricated legal citations an AI invented, delivered with total confidence and perfect formatting. McDonald...

16: Invisible Failures: Stanford's Research on 100K AI Conversations — Moritz Sudhof, Bigspin AI

Jun 25

15. Playbook for Increasing AI Adoption & Value Creation

Four data reports from 2026 tell a consistent story, and none of it matches the adoption narrative. Writer surveyed 2,400 global workers and C-suite leaders: 97% of executives deployed AI agents in the past twelve months, 29% reported significant ROI. Glea...

15. Playbook for Increasing AI Adoption & Value Creation

Jun 16

14: AI Adoption is the Problem Everyone is Desperate to Solve — Dr. Molly Sands, Atlassian

Six months of research into the world's leading AI-powered organizations reveals a consistent split: a handful of people are seeing 10x or 20x gains, most are seeing some movement, and a significant portion of the workforce is drowning in forced change — t...

14: AI Adoption is the Problem Everyone is Desperate to Solve — Dr. Molly Sands, Atlassian

Jun 08

13. Why Managing AI Agents Is More Like Supervising Labor Than Using a Tool [Jonathan Su, Procurify]

Managing an AI agent isn't using a tool — it's supervising labor. Most companies skipped that step. In Procurify's recent survey of finance leaders, 35% said trust — not model capability — is the single biggest factor in whether their organization can actu...

13. Why Managing AI Agents Is More Like Supervising Labor Than Using a Tool [Jonathan Su, Procurify]

May 28

12. How Atlassian's Chief Design Officer Builds for Agents

Every 1% increase in the context your agents receive produces a 0.38% improvement in output quality. LangChain's State of AI Agents 2026 report makes that measurable — and it makes interface design the highest-leverage investment most product teams aren't ...

12. How Atlassian's Chief Design Officer Builds for Agents

May 20

11. Context Graphs Will Reshape How We Work [Jamil Valliani - VP AI, Atlassian]

The fastest teams didn't switch to a better AI model. They gave their AI memory. At Atlassian Team 2026 they showed us the next evolution of AI capabilities: 150 billion connected objects across an organization, an agent reviewing 2 billion lines of code i...

11. Context Graphs Will Reshape How We Work [Jamil Valliani - VP AI, Atlassian]

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 t...

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

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...

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

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 vulnerabi...

8. The Most Important Data Points in AI Right Now

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 f...

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

Apr 09

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 gettin...

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

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. ...

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

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 u...

4. The AI Agent Era Will Change How We Work

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 ...

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

Mar 03

2. Five steps to defend your AI product value

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 measurabl...

2. Five steps to defend your AI product value

Feb 24

1. Why Your AI Metrics Are Lying to You - Framework for improving AI product performance

How is it that Microsoft and OpenAI’s CEOs are telling us to panic because white collar jobs are going to be replaced by AI, Then there’s endless evidence of the opposite: Most companies that implement AI see little gains, with execs from over 80% of com...

1. Why Your AI Metrics Are Lying to You - Framework for improving AI product performance