Grayscale Looks Beyond AI Tokens To The Data And Credit Behind Computing
Grayscale’s October 23 note examines three crypto-AI models: DATA for contributed training data, USD.AI for GPU-backed lending, and Pearl for blockchain-rewarded computing. Each depends on distinct customers and economic activity, and token labels alone do not show what holders receive. USD.AI’s documentation distinguishes a non-yield-bearing instrument, an income-accruing instrument and a governance token; its lending model also raises familiar risks around collateral values, borrower concentration and recovery. The note argues that token incentives and blockchain records do not establish durable demand or enforceable claims. Adoption, unit economics and clear rights are better indicators of whether these projects can become sustainable businesses.
