Ai

Don’t solve your current sovereignty problem. Three examples to make this concrete. An organization fine-tuning AI models on European customer data finds the regulatory ground shifting – GDPR transfer rules, CLOUD Act exposure and new AI Act obligations together pushing those models and pipelines toward EU jurisdiction. The training infrastructure built in 2023 wasn’t designed for that constraint. The remediation isn’t a configuration change; it’s an architecture rebuild. A European enterprise places R&D and strategic plans in a US-headquartered cloud provider’s EU region. The data sits in Frankfurt or Dublin. The contract specifies EU jurisdiction. But the parent company can be compelled by its home government to provide access – and the enterprise has no visibility into whether, when, or how often that happens. A sub-sea cable cut between mainland Europe and Scandinavia reroutes traffic through paths with significantly higher latency and reduced bandwidth. The infrastructure is still running. The DR strategy assumed those links would behave the way they did when it was designed. They don’t anymore. Three different scenarios, three different surfaces – legal, access, operational. But the same underlying pattern: the conditions the architecture was designed for keep changing, and what was a solid solution at procurement quietly becomes tomorrow’s liability. ...

The fear comes back every few months, and this time it has better aim. The machine can write now. So this time, people say, it’s coming for us. When we want reassurance we reach for Hidden Figures. Usually for Dorothy Vaughan. She watches the IBM mainframe arrive to replace her team of human computers, teaches herself to program it, trains her whole team and walks into the new world as the woman who runs the machine instead of the one it replaced. Adapt or be adapted. It’s a good lesson. It’s also the one everybody already took. ...