Smarter Science Part 2: The Data Infrastructure Value Chain

Key Insights

• AI-driven science faces unique data-related challenges around privacy, availability, and ownership.
• As differentiated data becomes an increasingly valuable edge for enterprises, there is growing momentum behind models that give individuals true ownership and economic sovereignty over personal data.
• By combining blockchain infrastructure, privacy-enhancing technologies (PETs), and cryptoeconomic incentives, DeSci can unlock latent value in personal datasets while preserving privacy and enabling fair monetization.
• Privacy-enhancing technologies such as MPC, homomorphic encryption, and TEEs are gaining adoption, making it increasingly viable to compute over sensitive data without compromising privacy or security.

This report is the second in a series on the intersection of AI and DeSci. For full context on research and discovery-related topics such as multi-agent systems, collective model development, and coordinating global innovation, we recommend reading the first report Smarter Science Part 1.