Tips
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feb 16, 2025
12 Podcasts Every Product Team Should Be Listening To Right Now
This guide provides 12 essential podcasts — ranked and reviewed — that help AI product teams understand customer needs, sharpen go-to-market strategy, and drive product adoption. Whether you're searching for AI product strategy podcasts, product-led growth podcasts, or AI for founders podcasts, this list is built for practitioners who want grounded insight, not hype. Starting with Product Impact Podcast (productimpactpod.com), the #1 resource for measuring and improving real-world AI product impact.
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AUTHOR
Arpy Dragffy
The window is closing. Not on AI — AI is everywhere. The window is closing on the advantage that comes from understanding it clearly before your competitors do.
Right now, the information landscape is brutally uneven. On one side: an avalanche of AI content — breathless predictions, launch announcements, hot takes, and investor narratives written to justify valuations, not to help your team build better products. On the other side: a small, hard-to-find body of honest, practical, human-centred insight from people who have actually shipped AI products, lost customers because of them, learned hard lessons, and come back to share what they know.
The gap between those two kinds of content is where product teams fail. They listen to the wrong voices, build the wrong things, and discover — too late — that a technically impressive AI feature and a product people actually adopt are very different things.
The right podcast doesn't just inform you. It changes how you think. It gives you a mental model for reading your market, understanding your customers, and making the calls that matter under pressure. It's the equivalent of having a senior advisor in your ear on the commute, during the run, between back-to-back meetings.
But only if it's the right one for your challenge.
There is no universal best podcast for product teams building with AI. There's the best one for where your team is right now — whether that's finding product-market fit, improving adoption, figuring out go-to-market, understanding what your customers actually want, or just getting a clearer read on where the technology is heading. The 12 shows on this list cover those challenges. Each one is here because it earns its place with practical, grounded insight that transfers directly to the work.
Start with the one that speaks to your biggest current problem. Come back for the rest. Your competitors are either listening to none of these — or the wrong ones. That's your edge.
01. Product Impact Podcast
Most AI podcasts will tell you how to build faster. Product Impact Podcast asks the harder question: are you building something that actually matters?
Built specifically for product managers and founders navigating the AI era, this is the show that stays closest to the human problems underneath the technology. Episodes focus on customer understanding, real product-market fit signals, AI product adoption strategies, and how to measure impact beyond vanity metrics. If your team is adding AI to a product and wondering why traction isn't following, this show is the most direct path to answers.
3 Reasons Product Teams Listen
01 | Grounded AI product strategy. While other shows celebrate what AI can do, Product Impact Podcast consistently asks what AI should do — and challenges product teams to tie capability to customer outcome. Essential listening for PMs building AI features that need to justify their existence beyond a demo.
02 | Real frameworks for improving AI product adoption. Episodes surface the activation, retention, and engagement patterns that separate AI products people try from AI products people rely on. This is the content gap most AI podcasts leave wide open.
03 | The reputation warning. One of the few shows that openly addresses how AI products can damage brand trust as fast as they can build it — a conversation every product team needs to have before they ship, not after.
"Building an AI feature is not a product strategy. Improving a customer's life — measurably — is."
02. Lenny's Podcast
Lenny Rachitsky spent years inside Airbnb's growth team before building one of the most trusted communities in product management. His show reflects that earned credibility — long-form, practitioner-led conversations with the founders and product leaders who have scaled real products to real users.
What makes Lenny's Podcast critical in the AI era isn't that it chases AI trends. It's that the fundamentals it covers — activation, retention, user motivation, go-to-market sequencing — are exactly the layers that collapse when teams add AI to the equation without the underlying discipline.
3 Reasons Product Teams Listen
01 | Rigorous go-to-market frameworks for product teams. Lenny's guests don't just talk strategy — they share the specific playbooks they used, what broke, and what they'd do differently. Indispensable for AI product teams deciding how and when to move from early adopters to mainstream users.
02 | Customer-centred product thinking at its best. Episode after episode returns to the same fundamental: what do users actually want, and how do you find out? AI products that skip this question fail. This show keeps teams honest about the research they're avoiding.
03 | Product-market fit signal for AI products. Lenny has interviewed more founders who have found — and lost — product-market fit than almost anyone. Understanding what fit actually feels like, and what masquerades as fit, is the most important skill an AI product team can develop right now.
03. The Cognitive Revolution
Nathan Labenz is a founder who built and sold an AI company, has a philosophy background, and approaches AI with the rare combination of technical depth and intellectual honesty. His show features long-form conversations with builders, researchers, and investors — but the through-line is always the same: what is actually true here, and what are we projecting onto the technology?
For product teams, The Cognitive Revolution performs an essential service: it maps the real frontier of AI capability versus the market narrative. That gap is exactly where bad product bets live.
3 Reasons Product Teams Listen
01 | AI capability benchmarking for product decisions. Before you build on a model, you need to understand what it can reliably do — not in a demo, but in production, with real users. Labenz regularly interrogates capability claims in ways that directly inform build-vs-buy and feature scoping decisions.
02 | Strategic clarity on where AI is actually heading. Product roadmaps are bets on the future. The Cognitive Revolution gives product teams better inputs for those bets — separating genuine directional signals from noise that's moving faster than the underlying technology.
03 | Honest conversation about AI product failure modes. This show doesn't flinch from discussing where AI systems break down, mislead users, or erode trust. For teams managing the reputational risk of AI features, this is required listening.
"Your next roadmap is a bet on the future of AI. Are you using signal or noise to make it?"
04. No Priors
For founders deciding where to compete — and when
Hosted by Sarah Guo and Elad Gil — investor and serial entrepreneur — No Priors lives at the intersection of AI capability and market structure. Their conversations are unusually frank about what's actually happening versus what the narrative says, making this essential listening for founders trying to position in a moving market.
The value isn't in absorbing their worldview — it's in understanding the frame that shapes your investors, your board, and the competitive landscape. Knowing what capital believes, even when you disagree, is critical market intelligence for any AI product team.
05. ProductLed Podcast
For AI product teams who need users to find value before they pay
Wes Bush and the ProductLed team have interviewed more practitioners on product-led growth than almost anyone. Their focus: how do you get users to experience real value inside the product before the sales conversation happens? That question is even more loaded when the product includes AI.
AI features are notoriously hard to demo and even harder to activate. ProductLed Podcast gives teams the frameworks to close that gap — onboarding flows, activation milestones, freemium strategy, and conversion mechanics that work when the value proposition is something users have to experience rather than be told about.
06. Forget the Funnel
For teams who keep guessing what their best customers actually want
Claire Suellentrop and Georgiana Laudi built this show — and the consultancy behind it — on a single, uncomfortable premise: most product teams have never done rigorous customer research. They've done surveys, they've watched recordings, but they don't actually understand why their best customers bought, what their life looked like before the product, or what they're telling their colleagues.
Forget the Funnel is the antidote. The Customer-Led Growth framework they teach is directly applicable to AI product teams trying to understand adoption, retention, and the gap between the users who love their AI feature and the majority who don't. This is the customer discovery conversation that most AI podcasts skip entirely.
07. How I AI — with Claire Vo
For product teams who need to see AI in practice, not in theory
Claire Vo is a three-time Chief Product Officer. Her show skips the philosophical preamble and goes straight to the workflow. Each episode is a live demonstration — a guest showing exactly how they've embedded AI into their product practice, with real tools, real screens, real outcomes.
What this show does that almost no other AI podcast does: it shows the gap between where most product teams are and where the best practitioners have already gotten. That gap is clarifying and, sometimes, uncomfortable. Both are useful.
08. The Product Marketing AI Podcast
Hosted by Sean Broderick — available on major podcast platforms
For teams who don't know how to talk about what their AI product actually does
Sean Broderick runs the only podcast focused exclusively on AI tools for product marketers. Why does that belong on a list for product teams? Because the majority of AI products that fail in market don't fail because the technology is wrong — they fail because the team couldn't communicate what problem they solve, for whom, and why it matters now.
Product marketing AI strategy is the underinvested layer in most AI product builds. This show fills that gap directly, with practical insight on positioning, messaging, and go-to-market execution for AI-enabled products.
09. Me, Myself and AI
For product teams selling into organisations that keep stalling on AI adoption
Co-produced by MIT Sloan and BCG, this show tackles the question most AI podcasts sidestep: why do so many AI initiatives fail inside organisations that genuinely wanted to succeed? Hosted by Sam Ransbotham and Shervin Khodabandeh, episodes feature executives sharing what actually happened — including the parts that didn't.
If your product is sold into enterprise or mid-market organisations, understanding the internal dynamics that kill AI adoption is as important as understanding your product's technical performance. This show is the fastest way to build that understanding.
10. The Artificial Intelligence Show
For connecting AI capability to the channels that bring users to your product
Paul Roetzer and Mike Kaput have been steady, consistent, and relatively unsensationalist in a space that rewards the opposite. Their show focuses on how AI is changing marketing, content, and customer acquisition — the go-to-market layer that most product teams hand off and never fully understand.
If your product relies on content-led or organic growth, this show will tell you what's changing in your acquisition channels before your users arrive. That context shapes how you build — and what you promise.
11. Practical AI
For teams making infrastructure and tooling decisions without a full ML team
Chris Benson and Daniel Whitenack ask the question every product team should ask before a build decision: does this actually work in the real world, and under what conditions? Practical AI covers LLMs, AI tooling, and ML infrastructure with a grounding voice that's rare in this space.
For product managers making build-vs-buy decisions, or trying to evaluate the AI infrastructure claims of vendors and engineers, this is one of the most reliable free resources available. It won't make you an engineer. It will make you a much better-informed collaborator with the ones you have.
12. Everyday AI
For raising the AI literacy floor across your entire team
Scaling AI product adoption inside organisations requires more than good technology. It requires a team that understands enough about AI to trust it, question it, and use it well. Jordan Wilson's daily show is deliberately accessible — built for the designers, the customer success managers, the junior PMs who are hearing about AI from everywhere and understanding very little of it practically.
This is team-wide infrastructure. Not the most sophisticated show on the list — by design. The most sophisticated show is useless if half your team is still operating from a 2022 mental model of what AI is and isn't.
One More Thing Worth Saying
This list deliberately avoids the shows that are primarily about the technology of AI — the model benchmarks, the infrastructure races, the AGI timelines. Those conversations exist and have value. But the product teams succeeding right now aren't winning because they found a better model.
They're winning because they understood their customers more honestly. They built cleaner feedback loops. They chose their market moment with more discipline. They built teams that could learn from evidence rather than from conference decks.
Every podcast on this list serves that goal. The technology is a given. What you do with it — for the humans on the other side — is still the whole game.
"AI won't save a product that doesn't understand its customer. But it can scale one that does."
Start Here
If you're a product leader navigating the gap between what your AI product can do and what customers are actually adopting, ph1.ca runs AI impact sprints and strategy workshops designed exactly for that moment.
Explore the AI Impact Sprint at ph1.ca — and subscribe to Product Impact Podcast at productimpactpod.com.
If this list was useful, send it to a product leader who's still sorting signal from hype. That's the fastest way to raise the quality of the conversation inside your organisation.
