Navigating the AI Revolution: Insights from ChinaAMC's CEO for Asset Managers

Surviving the AI Revolution: Insights from ChinaAMC's CEO

In a compelling address at the 2nd Global Asset Management Forum, Li Yimei, the CEO of China Asset Management (ChinaAMC), delivered a powerful message about the imperative shifts asset managers must undertake in the age of artificial intelligence. On May 29, 2026, in Shenzhen, she highlighted how traditional, experience-based investment strategies are becoming increasingly obsolete. To thrive, she argued, the financial sector must transition to a platform-driven and industrialized framework.

The Unstoppable Wave of AI

Li framed the current moment in technology as a substantial evolution likened to the advent of the internet in the 1990s. The integration of artificial intelligence into business practices and daily life is no longer a matter of choice—it is a necessity. As the capabilities of AI transition from simple tokenization to sophisticated agents, financial professionals are witnessing their cognitive frameworks being radically redefined.

“Today’s investment landscape isn’t experiencing just minor upgrades; we are amidst a full paradigm revolution,” Li stated. Her call to action is clear: organizations must embrace this change fully to ensure their survival and success in the rapidly evolving landscape of finance, tech, and industry coherence.

Positioning Within the Revolution

So, how should organizations reposition themselves to thrive in this shift? According to Li, the essence lies in letting AI organically develop from existing business lines. By harnessing AI, companies can turn often-repeated industry jargon into tangible productivity gains. These developments are not merely about enhancing operation efficiency but refining investment research processes, improving client interactions, and fortifying risk management strategies.

Building an Intelligent Research Framework

At ChinaAMC, a significant adaptation is evident in its investment research protocols. The firm has transitioned to a unified platform model that embodies industrial intelligence. Utilizing leading-edge technologies such as Large Language Models (LLMs) and advanced machine learning techniques, ChinaAMC has revolutionized its decision-making framework.

Gone are the days of mere manual filtering; research now emphasizes intelligent data mining and fosters synergies between human analysts and technological capabilities. In doing so, ChinaAMC has crafted a diverse set of investment strategies—ranging from quantitative investments to intelligent regular plans—that contribute to their enhanced analytics and research capabilities.

What stands out here is the strategic alignment of their product offerings with national objectives, which includes areas like AI, new energy, and biomedicine. This dual-focus not only seeks to bolster the real economy but creates a sustainable environment where investment research enhances value and performance, leading to a supportive ecosystem for stakeholders.