But the other side of this is that large corporations will have the upper hand in AI only if the success of that AI is dependent on their other advantages (like having tons of data about all of us). The fact that model architectures are getting somewhat universalized seems to suggest that eventually there may be some highly reusable building blocks that will provide good outcomes ... when trained on enough data with enough diversity. And that data comes from everyone; if we insist on different data governance principles, we could support an ecosystem where anyone can create, train, and run their own AI services.