Venture Capital’s Next Frontier: The Trillion-Dollar Physical Data Problem
Nobody is focused on the trillion-dollar bottleneck: making physical data usable for AI. A new class of infrastructure companies just figured out how to win it.

Why it matters
As AI adoption accelerates, the competitive advantage shifts from model development to data infrastructure. Companies that structure physical-world data for machine consumption—especially in Earth observation—are poised to capture outsized value in the AI economy.
The key facts
4 to knowTrillion-dollar market opportunity in physical data structuring
Emerging category: AI-native infrastructure companies
Earth observation data as key vertical
Value accrues to data usability layer, not just models
Go to the source
Forbes Innovationforbes.com
Publisher excerpt: A new class of AI-native infrastructure companies is emerging to structure data for machine use—signaling that in the AI era, value accrues to those who make data usable, including in Earth observation.