**[AI Model Proliferation May Amplify Synchronized Trading Risks in Financial Markets]** Deep Tide TechFlow reports that on August 14, JPMorgan, citing the IMF's perspective, pointed out that AI is increasingly being integrated into financial institutions' risk pricing, credit allocation, and trading decisions. Under normal circumstances, this helps improve execution efficiency and market liquidity. However, during periods of stress, if a large number of institutions rely on similar data, models, and risk signals, investment decisions that were originally decentralized may become highly synchronized. The risk lies in the possibility that when a single macroeconomic shock triggers multiple models to simultaneously reduce positions or tighten credit, the resulting asset price declines and liquidity deterioration could further reinforce the models' risk signals, creating a procyclical feedback loop of "synchronized selling—liquidity decline—further price deterioration—retriggering position reductions." Therefore, the potential risk AI poses to the financial system may not necessarily stem from a single model "miscalculating," but rather from numerous models simultaneously making similar, seemingly rational decisions. This implies that while AI can enhance risk management efficiency for individual institutions, it may also increase market correlation and amplify volatility during extreme market conditions. (Jin10)