Why Is The AI Engine “Data” The Most Overlooked Real World Asset?
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最新报道：AI Engine Data Emerges as Overlooked Real-World Asset in Web3 Forbes highlights AI engine data as a critical yet undervalued real-world asset (RWA) in Web3 ecosystems. Unlike traditional RWAs like real estate or commodities, AI training data—essential for model accuracy—lacks standardized valuation methods despite its growing demand. Industry experts argue that blockchain-based tokenization could unlock liquidity for AI datasets, enabling fractional ownership and transparent pricing. Projects like Ocean Protocol are already exploring decentralized data marketplaces, but regulatory uncertainty and data privacy concerns remain hurdles. As AI adoption accelerates, analysts predict data assetization will become a $50B+ market by 2030, urging investors to recognize its potential beyond conventional RWAs.
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