Electric Capital: Only 34 RWA assets exceed $50M on-chain; AI infrastructure spending may be a catalyst.

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Electric Capital reports that only 34 RWA assets have on-chain trading signals exceeding $50 million, with the majority concentrated in U.S. treasuries and corporate bonds. Legal and infrastructure gaps prevent 93% of assets from participating. Distribution remains a challenge, as most tokenized assets have fewer than 2,000 holders. Capital protection and product competition are key drivers for future on-chain growth. AI infrastructure spending, projected to reach $500 billion by 2026, could accelerate GPU leasing and energy contracts.

PANews, March 21: According to TheDefiant, Electric Capital analyzed 501 real-world yield (RWA) assets and cross-referenced them with tokenized assets showing significant on-chain activity. The report found that only 34 yield-generating assets have an on-chain size exceeding $50 million, with these assets primarily concentrated in U.S. Treasuries, private credit, corporate bonds, and non-U.S. sovereign bonds; the remaining 93% of yield sources remain constrained by seven key barriers, including inadequate legal structures, challenges facing asset-backed securities, and real-world integration issues with commodities and computational infrastructure. The study further highlights distribution as the primary bottleneck for RWA adoption: among 35 non-stablecoin on-chain yield assets, only two have more than 2,000 holders. This is partly due to design limitations, such as BlackRock’s BUIDL product, which has a minimum investment threshold of $5 million. Data also shows that most tokenized assets remain heavily reliant on a small number of large deployers and treasury managers; for example, the top ten holders of BUIDL control 98% of its supply, and most of these holders are other protocols. Electric Capital predicts that five key factors will drive more real-world assets onto the blockchain: continued growth in stablecoin adoption and increasing diversification of market demand for yield, intensified product competition among protocols, improved capacity of treasury infrastructure to absorb duration risk, layered mechanisms expanding the buyer base, and leveraged loops amplifying demand for collateralized assets. Additionally, AI infrastructure spending—projected by Goldman Sachs to exceed $500 billion by 2026—is expected to serve as a major catalyst, with particular potential in on-chain financing for GPU leasing, data center construction, and energy contracts.

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