Jan 16, 2026 · 45m · 20product
20Product: Is the Design Phase Dead in a World of AI | Has Claude Code Crushed Anthropic Already | What Roles of a PM Are Less and More Important with AI | How the Best Product Leaders Tell Stories with Noam Lovinsky, CPO @ Superhuman
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of 20 Product, host Harry Stebbings interviews Superhuman Chief Product Officer Noam Lovinsky to discuss how AI is transforming product strategy, design thinking, engineering workflows, and team structures. Lovinsky shares leadership strategies on storytelling, writing specs for AI agents, and navigating the economic and societal impacts of artificial intelligence.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 36.8% of the talking time here. How this is scored →
Harry as informed peer 5.0 Guest teaching 4.9 Guest disagreement 2.4 Harry pushing back 3.4
speaking balance: gold is Harry, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 25:02 Rejecting VC ROI Math
Noam directly dismisses Harry's simplistic VC premise that a 30 percent engineering efficiency gain directly converts into paying 75k per engineer for AI software.
Hardest push from Harry ▶ 9:48 Challenging Design Phase RelevanceHarry refuses to accept Noam's assertion that design thinking remains distinct from vibe coding, countering with a concrete Duolingo example where designers vibe coded working prototypes in days.
Biggest teaching moment ▶ 8:29 Redefining the Role of Design ThinkingNoam educates Harry on why AI tooling accelerates multi-disciplinary work without removing the fundamental cognitive necessity of initial design thinking.
Harry holds his own ▶ 25:02 VC TAM Expansion AnalysisHarry demonstrates strong venture capital expertise by articulating how software spend must capture human labor spend for AI TAM expansion to materialize.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Harry as informed peer | Guest teaching | Guest disagreement | Harry pushing back | Why |
|---|---|---|---|---|---|---|
| Defining Great Product Leadership Through Storytelling | 5 | 3 | 1 | 2 | Harry asks insightful questions regarding storytelling challenges for horizontal products, prompting Noam to praise Harry's depth of understanding. The conversation is highly collaborative with mutual respect. | |
| The Role of Design Thinking vs. Vibe Coding | 6 | 5 | 4 | 6 | When Noam denies that the design phase is dying, Harry pushes back using a concrete case study from Duolingo where designers vibe coded a prototype in days. Noam responds by clarifying the distinction between design thinking mediums and high-fidelity prototype sharing. | |
| AI Tooling Trends and Writing Specs for Agents | 4 | 6 | 1 | 2 | Harry queries internal AI tooling adoption, and Noam explains why product specs will soon be written for AI agents rather than human engineers, outlining how context engineering changes spec design. | |
| Creativity, Taste, and the Democratization of Software Creation | 5 | 5 | 2 | 3 | Harry poses a thoughtful thesis on whether AI agent specs will homogenize product design by lacking human lived experiences. Noam agrees in part, drawing an insightful analogy to Instagram's initial flattening of photo aesthetics. | |
| AI's Impact on Engineering Ratios and Development Cycles | 5 | 5 | 2 | 3 | Harry explores market dynamics and team composition shifts as AI handles up to 90 percent of code. Noam breaks down how product team ratios are shrinking down to single PMs, designers, and paired engineers. | |
| Economic Models, Extensible Platforms, and Workplace Productivity | 6 | 6 | 4 | 5 | Harry challenges Noam using a strict VC framework around capturing labor budget into software TAM. Noam rejects Harry's math, arguing that engineering productivity gains allow personnel to flex into broader product roles rather than simple cost displacement. | |
| Future Predictions: Always-On Inference and Societal Impacts | 5 | 5 | 4 | 4 | Harry predicts always-on 24/7 inference by 2026, but Noam directly disagrees on the timeline due to UX friction. Harry presses Noam to justify his skepticism before transitioning into societal impacts like wealth inequality. | |
| Quickfire Round, Executive Leadership, and Future Outlook | 4 | 4 | 1 | 2 | In a friendly quickfire round, Noam details his perspective on Anthropic, his leadership under Glenn Kelman at Redfin, and how AI tools will allow executive leaders to get back to hands-on product creation. |
Statements from this episode (25)
Lovinsky: Great product leaders are fundamentally exceptional storytellers
“I mean, I think fundamentally a great product leader is a great Storyteller. Someone that is able to understand what the customers actually need, what problem that actually needs to be solved and can form that into a story that is just well understood and well…”
Lovinsky: Product management and marketing are fundamentally the same function
“There's all these interesting debates right now about like, Roles collapsing and product and marketing and so on. And I just really don't see these things as separate. I see product and marketing and, you know, it's the same thing.”
Lovinsky: Instagram's core product insight was tapping into latent consumer vanity
“The product insight is that, you know, vanity is Much bigger market than we realized it was as a, you know, latent demand that kind of tapped into.”
Lovinsky: Productivity pitches signal product teams misunderstand their true value
“I think we like, Lean to things like time and productivity when we don't know what the value is, what the true value is.”
Lovinsky: Strict role specialization in tech product design doesn't work
“The idea that like you are a designer and therefore you stay in these lanes and you do these tasks and you don't do engineering work or you don't do product work just like doesn't make sense. Like it doesn't work that way.”
Lovinsky: AI and vibe coding will not eliminate the product design phase
“So is the design phase going away? No, like you still have to do that sort of thinking. And there are many Different tools for doing that sort of thinking.”
Lovinsky: Product teams will stop writing specs for humans within three years
“Write specs for humans. I hope most people aren't writing specs for humans any longer.”
Lovinsky: Use AI coding agents to co-write product specifications
“You should use the thing that's going to code it to help you write it because it's going to end up creating a version of that output that is more compatible with what it understands to do the work.”
Lovinsky: AI UI homogenization will make human taste and creativity stand out
“I actually think that this will lead to creativity and certainly like taste standing out more than ever, because I think you're going to have this like flattening where you are going to have a lot of things that just like, oh, you know, here we go. It's this, …”
Lovinsky: Democratized software creation is an enduring shift, not hype
“I think the idea that everyone can build is not a moment in time hype cycle.”
Lovinsky bets UX application-layer AI tools will beat dev tools to mass UX
“I guess I would probably bet on people working at that UX application layer already.”
Lovinsky: AI currently generates nearly half of Superhuman's net new code
“We're basically at the point where we're approaching about half.”
Lovinsky: AI will generate 90% of Superhuman's code within 24 months
“In 24 months, I hope it's like 90%.”
Lovinsky: The ideal AI-era product team is one PM, designer, two engineers
“I think now you're much more looking at, you know, it's like maybe one PM, one designer, two engineers is kind of like, you know, what you need.”
Lovinsky: Software TAM will expand as products solve more complex problems
“I mean, I guess like TAM expansion that I see is that the number of problems, the number of things that you're able to solve with software and do for people, it's just going to expand.”
Lovinsky: Software products must let customers build custom extensions to survive
“I think that your customers are going to build on top of your product is a requirement for everyone. That is serious because customers needs are always nuanced. And I think we're very quickly moving to a world where you're just going to have a lot more bespoke…”
Lovinsky: Slack no longer improves my effectiveness as a Chief Product Officer
“But I have to say in my role now, I'm not sure that slack actually makes me better at what I do and makes my day better and more effective.”
Stebbings: Most knowledge workers will use 24/7 background AI inference by 2026
“I think one thing that we're going to see in 2026 that no one's talking about is 24 seven inference that everyone is going to have inference running all the time, not just on input into chat GPT, but consistently for the majority of people, especially in knowl…”
Lovinsky: Continuous background AI inference won't reach general knowledge work by 2026
“Whether it happens widely in knowledge work, By 20, 26, I think is, you know, I'll take a bet with you on that. Certainly for coding. I think in a lot of places we're already there, right? I mean, you have like the Ralph Wiggum stuff that, that popped up over,…”
Lovinsky: Poor user experience, not model capability, limits AI productivity gains
“I think in, in most cases, that's not actually a problem with the model or a problem with the technology. I think it's often a problem with the user experience.”
Lovinsky: AI will cause short-term economic pain before driving widespread abundance
“I think we're going to definitely go through a painful period. Wealth inequality in the US is something that I really am concerned, concerned about because it's higher than it's ever been, higher than the Gilded Age, and, ah, that has a lot of very potentially…”
Stebbings: Tech leaders face unprecedented demonization by 2026 over AI job losses
“I think another prediction of mine for 2026 is I think we're going to see like the demonization of tech and tech leaders like never before, as you see the first real instantiation of job losses and job displacement in, in large parts of the economy, like in lo…”
Lovinsky: I am a buyer of Anthropic equity over OpenAI right now
“I'm a buyer of Anthropic at this point.”
Lovinsky: AI models will achieve continuous learning and self-improvement by 2026
“I think we're going to crack the, like, continuous learning, self-improving. These things, you know, can just be set on a task and given the context and build the memory and are just going to get better on their own for, you know, the majority of tasks that yo…”
Lovinsky: Redfin CEO Glenn Kelman is the best leader I've worked for
“The best leader and In the company that, that I have ever experienced is, is Glenn Kelman. Because of not only his ability to empathize and understand the market, but how well he can communicate and describe what we should do and why it matters.”