Why Xiang’s Trusted Data Asset Framework Is the Next Decade’s $16T Wealth Secret

(SeaPRwire) –   By: Nathaniel Cross

For the last five years, every tech conference panel has yelled about data being the new oil. But no one ever answered the basic question: how do you own oil that evaporates the second you copy it? We’ve all heard the talking points about data as a factor of production. But the reality is most data sits locked up as useless raw material. It’s easy to copy, hard to prove ownership, and even harder to assign a consistent value. Prof. Lingyun Xiang’s new book cuts through the hype to fix that broken promise.

Let’s start with the hard facts from the official release. The book, *Trusted Data Assets: Reconstructing Human Trust Through AI and Blockchain*, launches July 16, 2026, via Guangming Daily Press. It runs 200,000 characters across 10 chapters, built on two years of field research with financial firms, tech companies, and regulators. Leading industry research houses peg the on-chain real-world asset (RWA) market at over $16 trillion in the next decade. Xiang’s core argument splits the data asset problem into two clear parts. Blockchain answers whether data can be trusted. Artificial intelligence answers how much value that data can generate.

Most current Web3 tokenization projects don’t deliver on the promise of trusted data assets. They’ll fractionalize a commercial real estate stake, but they don’t verify that the property’s occupancy data is untampered. They’ll sell IP royalties, but can’t prove the royalty stream is accurately reported. The official press release frames the book as a cross-disciplinary guide, and that’s exactly the gap it fills. Most tech texts skip the finance and legal layers. Most finance texts skip the technical details. Xiang’s book meets both groups where they are, with no unnecessary jargon. He even breaks down foundational tools like distributed ledgers, smart contracts, and zero-knowledge proofs without talking over non-technical readers.

The book’s core thesis about a shift from institution-based trust to algorithm-based trust is the real game-changer. For centuries, we’ve relied on banks, governments, and rating agencies to vouch for every asset. Blockchain is quietly rewriting that rulebook. Tokenization isn’t just a digital overlay. It’s a full reconstruction of ownership itself. That means a small investor can buy a slice of a New York office building. A creator can sell fractional stakes in their music royalties without going through a major label. The locked-up liquidity premium here is the real wealth driver for the next decade. Traditional financial firms will either adopt this trusted data asset framework or cede market share to DeFi players that already operate on transparent, trustless ledgers.

Author bio: Nathaniel Cross, former lead AI research scientist and decentralized protocol pioneer, now advising startups on tokenized asset frameworks.