AI can scale globally. But can its data collection keep up? Imagine an AI company needing spatial data from 50 different cities. Sending teams to every location would take time, money and a lot of coordination. At @vangrid_io, there seems to be a practical solution to this problem. Instead of relying on centralized collection teams, Vangrid connects contributors who can capture real-world locations using their smartphones. Someone already living nearby can complete a capture and get rewarded in USDC once it's accepted. This could make collecting spatial data across different locations much easier to coordinate, without sending teams around the world. Maybe scaling real-world AI infrastructure isn't about owning more resources, but connecting the right people to the right places. Could decentralized networks eventually outperform traditional data collection teams?