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Mid-Year Banking Industry AI Layout Status: Strategic Deployment Full Speed Ahead, Careful Exploration of Practical Implementation

MeNews
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ME AI news. As 2026 moves into mid-year, we review the current state of artificial intelligence (AI) deployment in the banking industry. Overall, the picture is one in which strategic plans are being pushed forward at full speed, while on-the-ground implementation is proceeding alongside prudent exploration. On the one hand, commercial banks are advancing AI technology with sweeping efforts, pushing it into front-line operations and products. From the emergence of various self-developed agents (Agents) to the launch of credit cards that make “tokens” in computing power (Token) the form of equity, this indicates that large-model applications have moved beyond the stage of concept hype and have entered a period of large-scale, substantive implementation. But on the other hand, hallucinations induced by inconsistent underlying data quality, compounded by the “data quagmire” caused by the interweaving of old and new systems, mean that in China’s banking industry, AI applications are still faced with the unresolved “last mile” problem that has yet to be overcome before they can be deeply integrated into front-line business. (People’s Financial News) (Source: Tushare)
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