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Thinking about AI product leadership, building with AI tools, governance, and the economics of shipping AI in production.
Showing 49–60 of 72 articles
Industry & MarketsDeep dive
The Cartel Problem: Why AI Stalls at the Industry Gate
AI's biggest obstacles are not technical. They are structural: professional guilds, regulatory capture, procurement inertia, and incumbents profiting from it.
22 Feb10 min read
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AI Product BuildingDeep dive
Your RAG Pipeline Is a Product Decision, Not an Engineering One
Chunking, retrieval, and grounding are not engineering details. They are product decisions that determine whether your AI feature helps or hallucinates.
21 Feb10 min read
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AI Product Building
Latent Demand Is Your AI Roadmap
The best AI products aren't imagined. They're discovered by watching how people misuse your existing ones. A framework for finding what to build next.
19 Feb9 min read
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AI Strategy & Leadership
Product Discovery Is Dead: Why Prototyping Replaced It
The 6-week discovery sprint is a relic. When you can build a working prototype in a weekend, the fastest path to insight is shipping, not researching.
18 Feb9 min read
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AI Product BuildingDeep dive
The AI Usage Gap Is a Product Architecture Problem
Most AI tools are deployed but unused. The friction isn't capability. AI lives in a separate tab instead of where work happens. Build inline, not destination.
15 Feb11 min read
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Industry & Markets
The Data Moat Illusion: Why Incumbent Proptech Companies Are Vulnerable
For decades, companies like CoreLogic built massive moats by accumulating proprietary structured property data. Visual intelligence just evaporated that advantage.
15 Feb6 min read
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AI Product Building
Your Killer Feature Will Be Cloned by Friday. Build a Moat.
4 engineers, 10 days, a new product line. AI coding agents collapsed build economics. If code is a commodity, your moat is data, integrations, and trust.
12 Feb9 min read
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AI Strategy & Leadership
Taste Is the Last Skill AI Can't Commoditise
AI commoditises execution. The scarce resource is knowing what to build, for whom, and when to stop. That's taste, and it's the career bet worth making.
11 Feb9 min read
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AI Product BuildingDeep dive
Your Agent Evals Are Vibes. Here's How to Make Them Infrastructure.
Most teams evaluate agents with manual chats and gut feel. A practical framework for eval suites that let you ship, starting with 20 examples, not 20,000.
9 Feb13 min read
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AI Strategy & LeadershipDeep dive
The Translation Layer Is Dead. Here's What Replaces It.
Agentic coding compressed the PM translation layer to zero. The three skills that matter now: problem shaping, context curation, and taste as judgment.
6 Feb12 min read
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AI Strategy & Leadership
AI Strategy Needs Hands-On Experience, Not Slide Decks
AI strategies fail because leaders set direction for a capability they have never used. You cannot strategise well for a material you haven't touched.
3 Feb9 min read
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AI Strategy & Leadership
Your Job Isn't Going Anywhere. Your Tasks Are.
AI does not replace jobs. It replaces tasks. That distinction changes everything about how you plan your career, your hiring strategy, and your org chart.
1 Feb9 min read
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