A South African AI platform kept X-rays moving when Kimberley’s only radiologist fell ill. An AI drug candidate is compressing 15-year discovery timelines into months. The results are real but so are the failures. Skin tone bias, a $5 billion IBM collapse, and mental health chatbots with no guardrails. The bigger problem: when AI gets it wrong in a clinical setting, the companies behind it say it’s not their fault. That cannot stand.

OpenAI promised ads were a last resort. Then they started serving them. Google promised ‘don’t be evil’ before quietly dropping it. AI conversations are deeper, more personal, and more useful than search.

Surveillance capitalism doesn’t work here. So what are the alternatives?

Elon Musk says space will be the most economically compelling place for AI data centres within three years. The engineering challenges; launch costs, cooling, latency, radiation, are all solvable with enough money. Chip obsolescence and physical security are harder: orbital hardware goes out of date within months, and nations have already demonstrated they can blow satellites out of the sky. Don’t expect a solution before the 2040s.

Banks are pouring billions into AI. From Capitec’s Pulse agent cutting call times by 18% to JPMorgan Chase spending $18 billion a year on tech. But Klarna’s chatbot disaster, Goldman Sachs’ gender bias scandal and the black-box problem show that when AI moves beyond customer support into real decision-making, things get complicated fast.

From Star Wars practical effects to AI-generated battle scenes, Hollywood is changing fast. AI in the Wild explores how artificial intelligence is replacing extras, rewriting scripts, and turning your iPhone into a movie studio and what it means for the studios, the streamers, and the rest of us. 🎬✨🤖🍿