3 in 4 Companies Can't show value to their CFO

J.R. shares the State of AI Tokenomics data in Amsterdam at the first Tokenomicon. Hear from Vanessa Yiu, CTO Group Infra at Deutsche Bank, on her real world experiences managing AI Economics. https://www.tokeneconomics.com/state-... Key findings: Three in four enterprises cannot confidently prove AI business outcomes to the CFO The frontier labs have the workloads today. Enterprises considering shift toward open weights. Everyone uses Frontier, but a third already running edge and private AI The biggest Tokenomics challenges are tied to value, visibility, and fragmentation Core capabilities focus on attribution, modeling economic impact, model routing, governance, and demand planning Governance of developer productivity spending is immature and budget cap focused Who owns AI Economics in the enterprise? “Technology” is driving but “Shared” is close behind Model routing capabilities being bought and built by enterprises of all sizes Many model routing tools being evaluated while using multiples most common in large enterprises The ask to model and token providers is more granular AI spend and usage data, not discounts Enterprises hungry for better transparency, standardization and measurement from model and token providers Companies expect their pricing models and margins to be impacted by AI Energy is in the equation of Tokenomics AI investments have affected staffing and labor planning