2025年大湾区交易所科技大会聚焦“AI+资本市场” 证券行业迎来智能化深层变革

Core Insights - The 2025 Greater Bay Area Exchange Technology Conference highlighted the transition of AI technology in the securities industry from conceptual exploration to deep implementation, presenting both opportunities for efficiency and challenges for governance [1] - AI is positioned as a core driver for high-quality development in capital markets, with a focus on integrating AI capabilities with market governance needs [1] - The conference emphasized the importance of aligning AI advancements with regulatory frameworks to enhance market development and regulatory enforcement [1] Group 1: AI Technology Development - AI is recognized as a strategic technology leading a new wave of technological revolution and industrial transformation, with the year 2025 being termed the "Year of AI Agents" [2] - The securities industry is becoming a significant application scenario for AI, driving the sector towards greater intelligence, efficiency, and inclusivity [2] - AI's role in the securities industry is more critical than in other sectors, providing substantial support in customer acquisition and revenue generation [2] Group 2: Implementation and Challenges - Companies like Guotai Junan Securities have integrated AI across various business sectors, achieving over 150 AI applications that enhance risk control, investment research, and trading [3] - Regulatory bodies are actively embracing AI to improve oversight and compliance, integrating AI throughout the regulatory process [3] - The financial industry is accelerating its adoption of AI, overcoming challenges such as data governance and computational power limitations [4] Group 3: Future Outlook and Collaboration - AI is expected to enhance the overall competitiveness of the securities industry by improving customer service, operational efficiency, and promoting high-quality development [4] - Challenges such as AI's "hallucination" problem and lack of interpretability pose risks in the finance sector, necessitating careful consideration [4] - The industry is working towards overcoming AI application bottlenecks through technological advancements, regulatory adaptations, and collaborative innovation [5] Group 4: Strategic Initiatives - The Shenzhen Stock Exchange aims to build a world-class digital and intelligent trading platform by focusing on risk prevention, regulatory strength, and high-quality development [6] - Key initiatives include planning intelligent computing infrastructure, implementing cloud applications, and enhancing AI integration in core business areas [6] - The potential of AI in the securities industry is significant, but its development requires guidance from regulatory bodies, practical exploration by institutions, and cooperation from clients [6]