Remarkable Progress in AI-Finance Integration

The integration of AI and finance is deepening, bringing transformative changes to the industry. In quantitative investment, AI-driven strategies have demonstrated significant advantages. With the rise of platforms like DeepSeek and the emergence of mature strategies and professional teams, AI and finance are becoming increasingly intertwined. Major trading platforms like OKX and Binance continue to evolve alongside this trend. By leveraging AI, financial institutions can analyze and process vast amounts of data in real time, resulting in more accurate investment models. Studies show that AI quantitative strategies can boost the average annualized return of financial products by 5%–10% and enhance risk control capabilities by 30%–40%.In the U.S., many quantitative investment firms use AI to deeply analyze market prices, trading volumes, and macroeconomic data across equities, bonds, and futures. This enables them to better predict market trends, optimize portfolios, and significantly improve investment returns. In terms of risk management, AI allows for real-time monitoring of market risk factors and prompt strategy adjustments, reducing potential portfolio risks.

Explosive Growth in AI Investment in the DeFi Market

In the decentralized finance (DeFi) space, investment in AI has surged. In 2024, investment in AI for DeFi increased by 60% year-over-year, with an expected growth rate exceeding 50% by the end of 2025. The wide application of AI in DeFi has greatly enhanced the security and efficiency of smart contracts. AI can conduct comprehensive code audits and vulnerability scans, reducing the risk of security breaches. Moreover, with AI’s data analysis and prediction capabilities, DeFi platforms can provide more personalized financial services, such as accurate lending limit assessments and customized financial planning, improving user experience and market competitiveness.

For instance, some DeFi lending platforms use AI to intelligently assess and offer suitable credit limits and interest rates based on multidimensional data including users' credit history, asset status, and transaction behaviors. This not only secures platform funds but also meets users' individualized lending needs.

AI and Blockchain: Core Drivers for a Smarter, Safer Digital Asset Industry

Ongoing innovations in AI, blockchain, and other technologies are driving the digital asset industry toward greater efficiency, intelligence, and security. Blockchain enhances the transparency, security, and efficiency of asset transactions and management. Smart contracts automatically execute terms, reducing manual intervention and transaction costs. In the U.S., blockchain technology is widely adopted in financial applications, with institutions exploring its use for optimizing processes like cross-border payments and securities trading.

AI further boosts digital asset management and operations. With machine learning, massive data from digital asset markets can be analyzed to forecast trends and support smarter investment decisions. For example, some U.S.-based quantitative firms apply AI to analyze real-time data in crypto markets, build investment models, and conduct automated trading to increase returns.

Innovative Startups Emerging in the Wave of Technological Advancements

Amid this wave of innovation, startups with cutting-edge technologies are making their mark. One example is DogeBank, which leverages blockchain and AI to build an innovative Web3 computing power finance platform. On the industry chain side, DogeBank integrates upstream, midstream, and downstream resources from the global Dogecoin mining industry—including mining machine manufacturers, mining pools, and computing power distribution platforms—to create an all-in-one mining exchange. It offers services across the entire value chain, including mining machine and computing power trading and liquidity.

In terms of security, it uses advanced blockchain encryption technologies for multi-layered protection of users’ assets and transactions. In terms of service efficiency, AI-powered customer support ensures fast responses to user inquiries, enhancing experience. It also uses AI algorithms to analyze market data and provide personalized investment advice, helping users optimize their asset allocation.

Thanks to these technological advantages, DogeBank has gained a first-mover advantage in the global computing power market, drawing significant attention from users and investors and showing strong competitiveness and growth potential.

In Conclusion，Whether viewed from the strong demand for computing power in the U.S., the global growth trends and competitive dynamics of the computing power market, or the role of technological innovation in advancing the digital asset industry, it is clear that the computing power market is in a phase of rapid development. This brings abundant opportunities for the broader digital asset ecosystem.