Blockchain technology has the promise to radically transform the way society handles data as well as how AIs are trained and taught with this data. It has the potential to create a world in which control over and reward from data and AI is distributed more broadly across various stakeholders, including the people who generate the data. By using this data to train and teach AI systems, these companies have been able to create unprecedentedly effective advertising machines, with extraordinary capabilities of using the patterns mined from personal data to influence peoples' decisions about purchasing, political elections or anything else. It seems likely that no Western company, not even Google, has aggregated the amount and diversity of data that Tencent has, which also has the ability to crunch all this data for various purposes on its huge server farms. If the West is to go in the direction of greater data sovereignty, enabling individuals to control their own data and the way it's used by AIs -- and if it wants to maintain this respect for sovereignty without falling behind in the AI race -- then it will need to aggressively develop tools that allow AI to learn from data without compromising data sovereignty. Multiparty computation, homomorphic encryption and other methods allow AI tools to analyze datasets -- that exist fragmented across multiple locations, owned by multiple individuals or entities -- in a trustless way, without anyone needing to reveal their data to other parties. .