AI Agents Invade Financial Street: Everbright, China Asset Management Launch Smart Asset Management Trials

The asset management industry is welcoming a new kind of employee—one that never tires, remains emotionless, yet delivers exceptional efficiency.

Recently, leading domestic public fund firms have begun exploring the use of AI Agents. From supporting investment research to managing compliance and risk, AI is evolving from a basic information tool into a "digital employee" capable of autonomous action.

Technology Verification Phase: Training Behind the Firewall

For now, major institutions are approaching AI agent applications with a mindset of "bold hypotheses, cautious validation":

Yifang Fund: Has formed a dedicated team to test the open-source AI framework OpenClaw within an isolated network environment. Current efforts focus on automating the collection and analysis of market data and enterprise data governance.

Guangfa Fund: Has also established a fintech task force, concentrating on technical verification of AI agents for use cases such as data governance and full audit trail traceability, while strictly adhering to data security protocols.

Practical Application: Self-Developed Systems Enter the Investment Research Process

Unlike frameworks still in the testing phase, some institutions have already deployed proprietary systems that are generating real productivity:

Huaxia Fund: Has launched a self-developed AI-powered investment research agent that integrates multi-source market information automatically, monitors public sentiment in real time, and assists in generating research reports—now actively used in internal investment workflows.

HTF Fund: Has built a human-machine collaborative intelligent operations system and is piloting AI agent applications in customer service and compliance risk control.

Debate on Security: The Trade-off Between Autonomous Execution and Compliance Bottom Line

The autonomous nature of AI agents boosts efficiency but also introduces new regulatory concerns.

Risk Points: The industry widely worries that the security permission framework of the original OpenClaw is still immature, posing risks of data leaks and unauthorized actions. Moreover, autonomous decision-making may blur the line between "machine-driven decisions" and "human accountability."

Regulatory Requirements: Under the Securities and Futures Industry Technology Supervision Measures, institutions adopting new technologies must ensure their systems are secure and controllable, and that business data remains authentic and complete.

Industry Standards: "Human-Machine Collaboration, with Humans Ultimately Responsible"

Within the highly regulated financial sector, leading firms have reached a core standard: enforce strict permission controls, document the entire decision-making process, and redesign security systems to keep AI agents operating within compliance boundaries.

Conclusion: Intelligent Transformation Has No Way Back

AI technology is a key driver for the asset management industry to pursue high-quality development and improve the effectiveness of services to the real economy. However, under the strong oversight of finance, every technological innovation must respect the compliance bottom line. As AI agents begin to play a deeper role in managing trillions of yuan in asset allocation, the balancing act between efficiency and security has only just begun.