Ping An Group Chief Scientist Xiao Jing: Advances in AI Technology are Driving Profound Market Changes

Deep News
Oct 18

On October 18, the Global Wealth Management Forum · 2025 Shanghai Suhe Bay Conference is being held in Jing'an District, Shanghai, from October 18 to 19. Ping An Group's Chief Scientist Xiao Jing attended the conference and delivered a speech.

Xiao Jing stated that with the emergence of the new DeepSeek model, artificial intelligence has entered a new stage of development, creating a closed loop of "perception-learning-memory-reasoning," making the entire AI system more efficient and capable of lifelong learning, continuous iteration, and improvement.

Xiao classified AI applications into three stages. The first stage is "human + intelligence," which requires extensive manual labeling of data to train models, resulting in high costs and poor generalization capabilities. For example, early voice robots needed to cover thousands of scenarios for accurate responses. The second stage began with the appearance of pre-trained large models in 2018, enabling models to possess the ability of "extensive memory," solving problems across different scenarios, but encountering issues with "nonsensical output" and a lack of interpretability.

Currently, AI has entered the third stage. Xiao emphasized that models such as DeepSeek-R1 and OpenAI-O1 have established a closed loop that not only provides results but also displays the logical process simultaneously. "This means that when errors are discovered, we can locate the root of the problem and correct it, greatly expanding the range of application scenarios."

The evolution of AI technology is indeed driving profound changes in the market. Xiao shared two key changes: first, there is a significant increase in customer trust in AI; second, the arrival of "knowledge equality" is accelerating, allowing customers to leverage AI to proactively understand information in specialized fields, thereby weakening the knowledge barriers in industries such as finance and healthcare. Xiao predicts, "In the future, service models will shift from 'labor-intensive' to 'expert + robot.'"

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