AI Data Sovereignty Trading Platform DataVault Launches: Users Can Trade Their Personal Data as Assets for Profit

AI Data Sovereignty Trading Platform DataVault Launches: Users Can Trade Their Personal Data as Assets for Profit

On November 6, 2029, the decentralized data trading platform DataVault officially launched. The platform allows users to package and sell personal data — browsing history, consumption preferences, location data — in encrypted form to enterprise buyers, with users receiving 70% of each transaction's revenue.

DataVault uses "data capsule" technology — user data is encrypted and stored on a decentralized network. Buyers can only access analysis results in the form of "data insights" within the time frame authorized by the user, without accessing raw data. This protects user privacy while generating economic value from data.

"For the past 20 years, internet platforms have freely obtained user data and built trillion-dollar commercial empires from it," said DataVault's founder. "DataVault's mission is to return the value of data to its true owners."

Over 500,000 users registered on the platform's first day. In test transactions, an active user's monthly data package sold for an average of $15 to $40. Enterprise buyers include market research firms, advertising platforms, and AI training data vendors.

However, critics point out that DataVault could exacerbate "data inequality" — the consumption data of high-income groups is more valuable, while data from low-income groups is largely unwanted.