Author: Zhang Feng
The wave of Real World Assets (RWA) is sweeping through the financial sector. According to BlackRock's prediction, by 2030, the market size of tokenized assets will reach as high as $16 trillion. However, the gap between the physical world and the digital world still exists, with issues such as asset information distortion, unreliable data sources, and blind spots in process monitoring haunting the development of RWA like a ghost, eroding market confidence.
How to achieve a solid and trustworthy representation of off-chain assets on-chain, or how to provide reliable support for on-chain assets from off-chain? AI technology, with its powerful data analysis, pattern recognition, and automated decision-making capabilities, is becoming the core engine for building a trust foundation for RWA assets and establishing a solid bridge between on-chain and off-chain data.
In AI-enabled RWA, metadata anchoring, oracle enhancement, and anomaly monitoring are the three guardians of trust. Metadata anchoring is the "foundation", ensuring that the starting point expressed on the RWA chain is authentic; pre