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

Presented by PH1

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

Presented by PH1

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).

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

Feb 23

Why Design of AI is becoming the Product Impact Podcast

We started the Design of AI podcast at the end of 2023 at a time when GenAI was a black box of possibilities. Our focus was to help people working in tech navigate a great time of change and unpack how to experiment this new technology. We've now moved int...

Why Design of AI is becoming the Product Impact Podcast

Feb 10

52. Clawd Bot & Moltbook: When Demos Hijack Reality [Jim Love]

Viral agent demos are training product teams to trust spectacle instead of outcomes—and that’s how unsafe automation slips into real workflows. In this episode we welcome Jim Love, one to the most respected voices in technology news to unpack what “Claude ...

52. Clawd Bot & Moltbook: When Demos Hijack Reality [Jim Love]

Feb 02

51. Agents Will Disrupt Search & Shopping [Devi Parikh, CEO Yutori, ex Meta

While the world is obsessed with the Moltbot/Clawdbot AI agent, founders like Devi Parikh are laying the foundation for how agents will transform search and shopping—agents that monitor, negotiate, and navigate on behalf of users, securely. Search is beco...

51. Agents Will Disrupt Search & Shopping [Devi Parikh, CEO Yutori, ex Meta

Jan 20

50. Designing AI for 2026: Trust, Cost, Orchestration [Yaddy Arroyo]

2026 will reward AI products that get three things right: trust, cost, and orchestration. This episode looks ahead at how those forces are reshaping AI product strategy—and what teams need to pay attention to now. Brittany and Arpy are joined by Yaddy Arr...

50. Designing AI for 2026: Trust, Cost, Orchestration [Yaddy Arroyo]

Jan 02

49. AI Was Supposed to Help Humans. What Happened? [Ovetta Sampson]

If you’re building your product on private large language models, you are outsourcing control of your business—your data, your roadmap, and your long‑term defensibility—to companies whose incentives do not align with yours. Ovetta Sampson is a tech indust...

49. AI Was Supposed to Help Humans. What Happened? [Ovetta Sampson]

2025/12/15

48. AI Trap: Hard Truths About the Job Market

2025 is almost over, and it’s time to stop pretending everything is fine. If you work in design, writing, product, research, or agencies, you’ve felt it: fewer jobs, lower rates, shrinking teams—and an industry telling you AI is here to free you while qui...

48. AI Trap: Hard Truths About the Job Market

2025/12/03

47. The Future of Human–AI Creativity [Dr. Maya Ackerman]

AI is threatening creativity, but that's because we're giving too much control to the machine to think on our behalf. In this episode, Dr. Maya Ackerman — AI-creativity researcher, professor, and author of Creative Machines: AI, Art & Us — explains why th...

47. The Future of Human–AI Creativity [Dr. Maya Ackerman]

2025/11/12

46. The AI Commercialization Playbook: Stop Selling Tech, Start Delivering Value [Jessica Randazza Pade, Neurable]

The hardest part of building an AI product isn’t the model, it’s the market. Jessica Randazza Pade, one of today’s leading experts in AI commercialization and Head of Brand Activation & Commercialization at Neurable, joins us to share why most AI products...

46. The AI Commercialization Playbook: Stop Selling Tech, Start Delivering Value [Jessica Randazza Pade, Neurable]