The future of AI isn't about building monolithic systems in data centers. It's about training models centrally, then adapting them locally, and ultimately running inference at the edge. This distributed approach isn't just more efficient—it's a competitive advantage. When companies control their own data and compute infrastructure, they gain genuine digital sovereignty. Competitiveness and sovereignty reinforce each other in this model: the more distributed your systems are, the harder you are to disrupt. That's the real paradigm shift happening now.