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first_img ARK Invest Digital Asset Research Director: USDe scale is expected to expand to 40 billion USD

ARK Invest's Director of Digital Asset Research Lorenzo Valente published a discussion on the synthetic dollar protocol Ethena: tokenized stocks are changing the landscape in which ENA operates. He stated that the supply of USDe had bottomed out at $3.8 billion and has now risen by about 30%, recovering to nearly $5 billion.Lorenzo Valente: The inverted or low funding rates in the crypto market have forced more USDe collateral to shift towards off-chain yields such as government bonds, with sUSDe's average annualized rate once approaching or falling below SOFR; the market capitalization has remained stable over the long term, and the open interest has also limited the pace of expansion. He noted that basis trading has rebounded to about 20% of the collateral and is growing rapidly, with the U.S. stock market size at approximately $70 trillion, averaging over 8% annual growth. Continued bullish demand is expected to bring sustained positive funding rates, with lower stock volatility and lower hedging costs.He believes this is the first clear path for USDe to expand its supply to over $20 billion, and reaching $30 billion to $40 billion in the next 12 to 18 months would not be surprising, as the upper limit has shifted from crypto open interest to tokenized stock open interest. He also mentioned that Ethena's infrastructure and operations have been validated, and it is expected that Ethena Pay will further drive USDe from the demand side, with the chains, protocols, and vaults supporting USDe's supply and circulation strategies becoming the main beneficiaries.

first_img Chainalysis: Singapore's crypto economy grew by 55.4%, reaching a scale of 284 billion USD

According to Cointelegraph, data from Chainalysis shows that in the year leading up to June 2026, Singapore's cryptocurrency economic activity grew by 55.4% year-on-year, reaching a scale of $284 billion, reclaiming its position as the largest crypto economy in Central Asia, Southeast Asia, and Oceania amid an overall contraction in the region.The increase was mainly contributed by institutional platforms, with such activities surging by 94% to $60 billion, concentrated among a few market makers, over-the-counter trading firms, and institutional brokers. During the same period, the total crypto economy in the aforementioned region declined by 6.8%.Chainalysis pointed out that the growth of Singapore's institutional ecosystem is highly concentrated, primarily reflected in large transactions on existing platforms rather than the entry of numerous new services. At the same time, Singapore is tightening cryptocurrency regulations while promoting tokenization, stablecoins, and digital asset settlements.In 2025, the Monetary Authority of Singapore (MAS) required local crypto companies providing services to overseas clients to obtain licenses or exit the market. StraitsX CEO Tianwei Liu believes this measure curbed speculative activities and increased the proportion of banks and large enterprises applying blockchain in production. MAS is also conducting compliance stablecoin and tokenized bank deposit pilots through the BLOOM program, with Ripple joining on March 25 to test cross-border trade settlements using RLUSD.The Philippines, Thailand, and Vietnam excel in small P2P transfers. Chainalysis statistics show that the three countries collectively recorded 5.4 million domestic and international peer-to-peer transfers under $10,000, accounting for 14.4% of global similar transactions, but only representing 2.5% of the global crypto economy.

first_img Grayscale Research Director: Computing power is becoming a new scarce digital asset

On September 24, Zach Pandl, the research director of the cryptocurrency asset management company Grayscale, published an article in the column The Stack stating that in the wave of artificial intelligence, the demand and supply paths for the computing power required to train, run, and operate models are diverging. Grayscale believes that this imbalance favors owners of already powered and operational computing capacity and brings growth-oriented investment opportunities.Zach Pandl stated that digital demand can expand instantly, but physical infrastructure such as electricity, data centers, chips, memory, and cloud services takes years to approve, access, and build. When artificial intelligence agents perform multi-step tasks, they may consume 5 to 50 times more compute tokens than typical chatbot interactions, and increased application layer activity will transmit to the underlying computing infrastructure.The article cites data from the International Energy Agency and Lawrence Berkeley National Laboratory, stating that data centers are expected to account for about half of the growth in electricity demand in the United States by 2030, and new projects may take more than five years to connect to the grid. Even if electricity is secured, permits, specialized labor, electrical equipment, cooling systems, GPUs, high-bandwidth memory, and networks are still needed. Continuous value will flow to power producers, data center operators, and artificial intelligence cloud service providers that can convert electricity into computation.
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