Google would have given me Ebola by screen two. That's not a joke. That's the experience most of us have had. You type a symptom into a search engine, you scroll past the ads, you land on a page that lists seventeen possible conditions ranging from dehydration to a brain tumour, and by the time you reach the second page of results, you're mentally drafting your will. But something different happened to me this week. I told my AI I was dizzy. And instead of listing every possi

Multiple executives are cutting AI spend just as three major AI IPOs approach. On X, this is being read as a contradiction. Hype meets reality. Bubble pops. Told you so. It's not a contradiction. It's a category error playing out in real time. AI is being procured as a technology and measured like software: TCO, seat licences, vendor consolidation, quarterly ROI. But AI doesn't function as software. It functions as a colleague. And those two things have completely different v

For fifteen years, Meta built the most successful platform lock-in strategy in technology history. Now OpenAI is hiring the people who built it. There's just one problem: the playbook depends on a kind of leverage that AI doesn't have. This is an essay about platform trust, archival lock-in, and why the Meta strategy won't port to the AI era. For fifteen years, Meta has held something more valuable than your attention. It has held your archive. The photographs from your daug