AI Empowered RWA: How On-Chain Real Estate Achieves Efficient Intermediary-Free Models

Real World Asset (RWA) tokenization is becoming a new engine for the crypto market. According to statistics, as of March 10, the value of on-chain assets for RWA reached $17.925 billion, a 95.64% increase compared to the same period last year. Meanwhile, artificial intelligence technology is also deeply integrating with RWA, bringing new possibilities to this field.

In the real estate RWA sector, some projects are enhancing efficiency and transparency through AI technology. For example, a blockchain real estate project has improved its profit margin to 40% by adopting AI technology, achieving round-the-clock online property transactions, significantly increasing efficiency and security.

The project supports on-chain real estate asset management, smart contracts, and property tokenization, aiming to address the pain points of excessive intermediaries, slow processes, and high transaction risks in the traditional real estate industry. Its core products include a real estate trading platform, property rights and custodial services, as well as property tokenization services based on the Ethereum Layer 2 network. Currently, the project's property tokenization services have surpassed 300,000 minting addresses globally.

In terms of AI applications, this project provides real estate professionals with advanced tools, such as automatically generating transaction timelines, intelligently reading purchase agreements, and automatically initiating settlement processes. These features greatly simplify cumbersome paperwork and improve transaction efficiency.

In addition to technological innovations, the project has launched online marketing campaigns to encourage user participation and win token rewards. In terms of product innovation, the project has also introduced loan products that support mortgage of cryptocurrency assets to purchase real estate, and achieved the first Bitcoin-backed real estate loan transaction. Furthermore, the project has launched a third-party custody service based on a certain cryptocurrency trading platform, further improving its ecosystem.

From a broader perspective, the combination of AI and RWA is demonstrating potential in multiple areas, including asset valuation, risk management, predictive analytics, smart contract automation, liquidity optimization, enhanced security, and personalized investment experiences. Many RWA projects are increasing their integration of AI technology, although this combination is still in its early stages.

There have been some AI + RWA application cases in the market. For example, a certain financial project, after obtaining a large asset allocation, began exploring AI-driven yield optimization to improve the return rate of its tokenized government bonds. Another stablecoin project utilizes AI to optimize its yield management, offering users a higher annualized return.

In addition, the trend of RWA tokenization specific to the industry is becoming increasingly obvious. For example, there are projects that tokenize agricultural products on a certain public chain, providing customized solutions for specific industries.

The changes in the macro environment may also promote the deep integration of AI and RWA. Some countries are actively advancing the development of digital assets and artificial intelligence, which may create favorable conditions for the development of a new generation of AI+blockchain solutions.

With the rapid growth of the value of RWA on-chain assets and the deep integration of AI + RWA technology, the real estate sector is becoming a field worth paying attention to. In the future, the combination of AI and blockchain may further accelerate the digital transformation of the real estate market, providing global investors with a more transparent, efficient, and secure trading experience.