Vitalik Buterin advocates for running AI locally to regain digital sovereignty, but this limits scalability and enterprise use due to hardware constraints. The article argues that decentralized compute networks aggregate underutilized GPUs globally, offering scalable, cost-effective alternatives to centralized cloud providers. This approach preserves sovereignty and enables large-scale AI development, challenging the notion that independence requires sacrificing computing power.
