Personalisation used to be a marketing trick. Now it is a product expectation — and a regulatory flashpoint. How do you build AI-driven personalised experiences that actually create business value …
Designing AI-First Product Teams for Education: Practical Lessons for Product Leaders
Introduction Can an AI tutor scale the subtle judgement of a human teacher? The short answer is: not yet—but product teams that treat AI as a change in how they organise and measure outcomes are …
How Product Leaders Stop Platforms from Turning on Their Users: A Practical Guide to Avoiding Enshittification
Have you noticed how once‑magical platforms slowly start to feel… worse? It’s not a coincidence. There’s a repeatable lifecycle where companies prioritise short‑term extraction over long‑term user …
The Long View: What Product Leaders Must Learn From Past Tech Cycles to Navigate the AI Hype
Why does every new wave of technology feel both inevitable and over-hyped? From the early Web to the two mobile revolutions, ecommerce booms and the dotcom bust, the pattern repeats: rapid promise, …
When AI Becomes the Platform: How Product Leaders Should Decide Between Feature, Product or Platform
AI is no longer a novelty to bolt onto a product. The technology is asking organisations an uncomfortable strategic question: should AI be a feature, a standalone product, or the platform that powers …
How Product Leaders Stop Platforms from Rotting: A Practical Playbook Against Enshittification
Intro — why once-great products feel broken Why do once-great platforms start to feel broken? One moment a marketplace or social app delights customers; the next it’s slow, crowded with ads, and …