The AI podcast for product teams

29:08

Build the Context Layer Before the Agent

The AI podcast for product teams ·

2026/05/21

Atlassian spent three years connecting 150 billion organizational objects before the results appeared: 44% more accurate AI answers, 48% fewer tokens, a coding agent that reviewed 2 billion lines of code in two minutes. That’s the proof enterprises are pointing to when they argue that context graphs are the unlock. What the benchmark obscures is the order of operations — the graph had to exist before any of those numbers were possible.The reorganization bet is running in parallel, and it’s moving

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45:18

Governance, Context, and the Org-Design Reckoning

The AI podcast for product teams ·

2026/05/12

Atlassian connected its AI agents to a richer layer of company knowledge (documents, projects, goals, people) and measured a 44% improvement in answer accuracy using 48% fewer resources. Same models. Different information. Brian Armstrong restructured Coinbase the same week: 14% headcount cut, five management layers maximum. When AI can surface what previously required institutional memory and senior tenure, the organizational layers built around that knowledge become harder to justify.The visible

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18:15

The Most Important Data Points in AI Right Now

The AI podcast for product teams ·

2026/04/29

The Stanford AI Index’s headline is 88% — organizations using AI in some capacity. The Financial Times charted where it actually lands in the workforce: 62% of top-decile earners use it daily, versus 13% at the bottom. Board decks this quarter will cite Stanford. The FT chart is what they’re not showing.The economics that enabled this gap are under pressure. The three-year subsidized era is ending by financial necessity, not choice. The same optimization logic that built social media’s loneliness

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46:56

Your AI Strategy Is a Pile of Demos

The AI podcast for product teams ·

2026/03/27

Let’s stop pretending. Most AI strategies are just a collection of pilots that nobody had the courage to kill. The data this period is brutal: 95% of genAI pilots stall. Only 11% reach production in financial services. Microsoft — the biggest company in the world, with the best distribution on the planet — just reorganized Copilot because nobody internally could agree on what it was supposed to be. And while enterprises burn cycles debating governance frameworks, a new class of startups is quietly

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52:01

75% of Enterprise AI Fails. The Fix Isn't a Better...

The AI podcast for product teams ·

2026/03/16

Every influencer is drooling over Claude Code skills files. Every product team is chasing the next model release. But for two years, the data has been screaming the same thing: capability isn’t the bottleneck. Context is. This edition unpacks what that actually means — why structured business knowledge is the highest-leverage investment a product team can make, what the “context wars” look like from the inside, and why the teams winning aren’t the ones with the best models. They’re the ones whose AI

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35:01

The teams pulling ahead aren't the ones with the best...

The AI podcast for product teams ·

2026/03/02

AI products are shipping faster than ever. But shipping isn’t impact. The teams pulling ahead aren’t the ones with the best models — they’re the ones who can prove their product moves the business. This edition is about that gap. How to measure what matters, where the biggest barriers to impact are hiding, and what the latest research says about getting AI products to actually drive growth. Because the real competitive advantage isn’t AI. It’s knowing whether your AI is working.What You’ll Learn in

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48:15

What Happens to Your Product When You Don’t Control...

The AI podcast for product teams ·

2026/01/13

AI was supposed to help humans think better, decide better, and operate with more agency. Instead, many of us feel slower, less confident, and strangely replaceable.In this episode of Design of AI, we interviewed Ovetta Sampson about what quietly went wrong. Not in theory—in practice. We examine how frictionless tools displaced intention, how “freedom” became confused with unlimited capability, and how responsibility dissolved behind abstraction layers, vendors, and models no one fully controls.This

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30:19

When AI Isn’t the Answer, It’s the Problem

The AI podcast for product teams ·

2025/12/22

In Episode 48 of the Design of AI podcast, we unpack why the most common AI promises are collapsing under real market pressure. AI was meant to unlock strategic work, expand opportunity, and elevate creativity. Instead, UX and design roles are disappearing, agencies are cutting creative staff while buying automation, and freelance work is being devalued as execution becomes cheap.This episode is not about panic. It is about reality. Value still exists, but it is concentrating among those who can

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46:00

The Creativity Recession and Why Product Leaders Must...

The AI podcast for product teams ·

2025/12/05

Our latest guest is Maya Ackerman — AI‑creativity researcher, professor, and author of Creative Machines: AI, Art & Us (Wiley), as well as founder of WaveAI and LyricStudio (View recent colab with NVidia).Maya’s perspective is not just insightful — it’s a necessary reality check for anyone building AI today. She challenges the comforting narrative that AI is a neutral tool or a natural evolution of creativity. Instead, she exposes a truth many in tech avoid: AI is being deployed in ways that

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44:31

The Real Reason Tech Products Fail

The AI podcast for product teams ·

2025/11/18

Our latest episode features Jessica Randazza Pade, Head of Brand Activation & Commercialization at Neurable. Named to Campaign US’s 40 Over 40 and ELLE Magazine’s 40 Under 40, Jessica is an award-winning global digital marketer, business leader, and storyteller. She explains why AI is not a value proposition, how to turn vague use cases into measurable outcomes, and why making technology invisible is often the strongest competitive advantage.“If the user can’t articulate what’s different in their

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44:56

Designing Agents That Work: The New Rules for AI...

The AI podcast for product teams ·

2025/10/29

Our latest episode explores the moment AI stops being a tool and starts becoming an organizational model. Agentic systems are already redefining how work, design, and decision‑making happen, forcing leaders to abandon deterministic logic for probabilistic, adaptive systems.“Agentic systems force a mindshift—from scripts and taxonomies to semantics, intent, and action.”🎧 Listen on Spotify🍎 Listen on Apple PodcastsAnd if you want to go deeper, check out Kwame Nyanning’s book, Agentics: The Design of

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41:47

Play, Prompts, and the Perils of Incrementalism

The AI podcast for product teams ·

2025/10/01

In our latest episode, Michelle Lee (IDEO Play Lab) makes the case that play unlocks the next billion-dollar AI market. She reminds us that kids don’t stop at answers—they ask what if and turn shoes into cars or planes. That divergent mindset is exactly what product teams have lost.“Play is one of the best ways to challenge the norms, to think wide, imagine new possibilities.”Michelle shares:* How IDEO discovered billion-dollar opportunities (like PillPack, later acquired by Amazon) by staying

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46:11

AI Product Strategy FAQ, Minus the Bullsh*t

The AI podcast for product teams ·

2025/09/16

Our latest episode features Nicholas Holland (SVP of Product & AI at HubSpot) and explains how AI is actually changing go-to-market teams:* AI cuts rep research time and turns calls into structured insight* “AI Engine Optimization” (AEO) is becoming the new SEOThis conversation isn’t speculative—it’s a blueprint. Listen to Episode 42 on Apple Podcasts🚨 Upcoming Workshop: Sept 18 — AI Product Strategy for Realists Use promocode pod30 at checkout to get 30% off your registration!Join us for a live

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41:27

The End of Product Teams as We Know Them

The AI podcast for product teams ·

2025/09/09

🎙️ Listen on Spotify | Apple Podcasts | YouTubeI recently spoke with Maor Shlomo, founder of Base44—the platform that lets anyone build apps, tools, and games just by describing them to an AI. In six months, he built Base44 solo and sold it to Wix for $80M. It’s the clearest signal yet: the rules of building have changed, and most teams aren’t ready.We dug into:* Why vibe coding crushes the myth that innovation requires big teams and big funding.* How cross-domain generalists will thrive while

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47:40

From AI as Tool to AI as Teammate: Lessons from...

The AI podcast for product teams ·

2025/08/14

🎙 Episode 40: Atlassian’s Secrets to Successful AgentsIn this episode, Jamil Valliani (VP & Head of Product AI at Atlassian) shares how they embed AI across Jira, Confluence, and Trello through intelligent agents that blend into workflows—far from mere “+AI” buttons. He emphasizes starting small with tangible prototypes to build momentum and leadership alignment, showing that AI gains stick when they're experienced, not explained.Highlights from the episode:* Hands-on AI adoption at Atlassian:

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39:19

The Risks & Research of Over Reliance on AI

The AI podcast for product teams ·

2025/05/05

After a frustrating week of trying to wrangle AI outputs, we decided to explore the risks of overreliance on AI. It’s good for us to question our tools. It enhances our processes and challenges us to find the right tools.Listen on Spotify | Listen on Apple Podcasts | Watch on YouTubeIn this episode, we say the quiet parts out loud. Not only are LLMs often feeding us incorrect information, but over-trusting these systems poses a serious risk.We can look at this Rolling Stone article headline and

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55:07

AI Promises us More Time. What Should we do With it?

The AI podcast for product teams ·

2025/04/22

When reports like Adecco’s Global Workforce of the Future survey find that the average saving for workers using AI is 1 hour a day, we should question this. * What did those workers do with their time savings? * Should that time savings benefit the employer or the employee?* Can we trust such a hard-to-measure stat?Our latest episode tackles this and other disruptions happening to the creative and production processes. Matthew Krissel is the Co-Founder of the Built Environment Futures Council and a

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49:40

AI's Predictive Powers will Change how we Live & Work

The AI podcast for product teams ·

2025/04/08

As much as image generation is fun, the power of GenAI is prediction. The technology operates very similarly to people you might meet: * Some people have studied and are experts in a single topic for a decade. They’re experts in that topic and can easily infer, correct, and complete tasks. They’re unreliable for everything else.* Some people are generally knowledgeable and have a good understanding of many topics. They aren’t experts but can reliably assist you in many ways. But they’ll also be

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67:20

Prepare Yourself for AI to Increasingly Change Our Jobs

The AI podcast for product teams ·

2025/03/13

“The future is already here, it's just not evenly distributed” Science fiction is inspiring, frightening, and often the best lens into the future. Many ideas about the future are b******t —just like this quote being misattributed to the ever-amazing William Gibson— but even the wildest idea shares truths worth discussing.This week’s newsletter is an exercise in imagining how AI will transform the way that we work. The future will impact us differently because some already live with a future-centred

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58:21

Implementing AI into creative workflows: How to...

The AI podcast for product teams ·

2025/03/03

There are many reasons to debate the ethics and implications of AI. But while we do that, hundreds of the world’s biggest brands are rushing to implement the technology into creative and coding workflows. At a time when shareholders are being unforgiving and policy making is volatile, business leaders are looking to AI to gain any advantage possible.Jan Emmanuele is one of the experts that these Fortune 500 corporations rely on to identify and build GenAI creative workflow augmentations and

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