Core Viewpoint - The central financial work conference emphasizes the importance of technology finance, green finance, inclusive finance, pension finance, and digital finance for promoting high-quality financial development. The integration of 5G, AI, and blockchain is reshaping the financial infrastructure and service landscape, presenting both opportunities and challenges for the banking industry [1][3]. Group 1: Technological Integration in Finance - The collaboration of 5G, AI, and blockchain is fundamentally restructuring the architecture and operational logic of financial systems, enhancing payment systems, investment management, and supply chain finance [3][4][5]. - Payment and settlement systems can achieve real-time and trustworthy transactions, with 5G enabling millisecond-level latency and blockchain ensuring transaction immutability and traceability [3][4]. - AI enhances investment advisory and asset management by analyzing user preferences and market data, leading to more personalized and transparent investment strategies [4][5]. Group 2: Challenges of Technological Integration - The integration of these technologies may increase complexity and systemic risks within the financial system, such as compatibility issues between distributed ledgers and centralized AI frameworks [2][7]. - Performance bottlenecks exist between blockchain's low transaction per second (TPS) capabilities and the high throughput demands of 5G [6][7]. - The potential for AI algorithm resonance could amplify market volatility, leading to systemic risks if similar AI models are widely adopted [7]. Group 3: Key Players in the Ecosystem - Two types of companies are likely to dominate the "5G + AI + blockchain" ecosystem: technology giants with integration capabilities and specialized financial technology service providers [7][8]. - Technology giants can leverage their vast user bases and data resources to create efficient technology linkages, while specialized firms can focus on specific industry needs, enhancing their competitive edge [8]. Group 4: Future Directions in AI Investment - AI investment in China is driven by scenario-based applications, policy support, and engineering efficiency, with key challenges including reliance on core technologies and hardware limitations [9][12]. - The future of AI in finance will focus on multi-agent systems for decision-making, democratization of investment through asset tokenization, and seamless cross-border payment solutions [9][10][11]. - The evolution of AI technology is expected to shift from large models to intelligent agents capable of autonomous decision-making, enhancing operational efficiency in various sectors [12]. Group 5: Current Trends and Risks in Blockchain Investment - The current blockchain investment landscape is characterized by a mix of technological innovation and speculative behavior, leading to a phenomenon where "bad money drives out good" [14][17]. - Regulatory actions have targeted misleading cryptocurrency investment practices, indicating a need for clearer distinctions between genuine technological advancements and speculative projects [17][18]. - The differentiation between technological innovation and speculative behavior is crucial, with a focus on projects that do not promise financial returns and adhere to regulatory standards [18].