Seek .(US:SKLTY) Feng Huang Wang·2025-08-04 03:42Core Insights - The banking industry's initial enthusiasm for DeepSeek has diminished over the past six months, with many professionals indicating that the model's impact has not met expectations [1][4][5] - DeepSeek faces significant challenges in the banking sector, primarily due to the complexity of financial data, which it struggles to process effectively [7][8][9] - Despite the setbacks, the trend of increasing investment in financial technology within the banking sector is expected to continue [2][4] Application Status - DeepSeek has not produced any "killer applications" in the banking sector, as initially anticipated, with many banks reporting underwhelming results from its implementation [1][7] - The model's general-purpose nature limits its compatibility with existing banking technologies, leading to difficulties in integration [8][9] - Smaller banks have been more proactive in adopting DeepSeek, often for marketing purposes, while larger banks have shown reduced enthusiasm [3][4][5] Industry Response - The regulatory environment has shifted, with authorities advising large banks against extensive promotion of DeepSeek, emphasizing the importance of self-developed financial models [4][5] - The emergence of new financial models from domestic tech giants has further diluted DeepSeek's uniqueness in the market [6][5] - The banking sector's low tolerance for errors in financial applications has led to cautious approaches in deploying DeepSeek for critical functions like AI advisory and risk management [9]