AI in RWA Tokenization: Valuation and Risk

A Blockchain Council article by Suyash Raizada (updated Aug 27, 2026) argues that AI is moving real-world asset (RWA) tokenization beyond simple on-chain records by enabling more frequent valuations, continuous compliance checks, and earlier risk detection before problems appear in quarterly reports. It notes that real-world assets are heterogeneous—tokenized treasury funds, real estate pools, and private credit with borrower covenants, payment schedules, collateral data, and default risk—and that AI helps connect these off-chain facts to blockchain instruments in a way institutions can supervise. The piece also promotes the Certified RWA Tokenization Expert program for professionals seeking specialized expertise.