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Banking AI Applications to Serve Real Economy Highlighted at Lujiazui Salon

Published: Updated: By 24TopNews Editorial Desk

On August 15, 2026, a financial salon in Shanghai examined how banks can use artificial intelligence and large language models to better serve the real economy, with a focus on credit support for small, medium and micro enterprises and the technology and innovation sector. SPD Bank detailed how AI is expanding developer roles and accelerating iterative processes, while Bank of Shanghai emphasized government policy support and digital tools for precision customer acquisition and real-time risk control. Panelists discussed AI agents as client manager assistants and the importance of explainable outputs. Television programs on the event aired on August 15 and the following day.

On August 15, 2026, a financial salon themed on applying artificial intelligence in banking to serve the real economy was held in Shanghai. The event explored how financial institutions can use new technologies such as artificial intelligence and large language models to strengthen their capacity to support the real economy, with focused discussion on financial support pathways for small, medium and micro enterprises and the technology and innovation sector. A related television program aired that evening.

Representatives from several banks and technology companies shared practical experience at the event. SPD Bank noted that artificial intelligence is changing the development model for financial services, expanding the developer base from technology personnel to business staff, while shifting the development process from the traditional waterfall approach to rapid iteration through intelligent agents. Bank of Shanghai said market participants should combine digital trends to create a stable development environment for enterprises, with the government improving policy support and credit-information fault-tolerance mechanisms, and banks using artificial intelligence and digital tools to achieve precision customer acquisition and real-time risk control in support of the healthy growth of small businesses.

Panel discussions centered on artificial intelligence and the transformation of corporate banking. Some participants pointed out that large language model technology can integrate unstructured data, identify more complex risk types and support a wider range of financial products, with an application foundation comprising trusted data sets, explainable model strategies and controllable task planning. On how artificial intelligence is reshaping core banking capabilities, one speaker said intelligent agents can serve as assistants to relationship managers, supporting tasks such as understanding client information, issuing early-warning alerts, drafting initial post-lending investigation reports and conducting loan pre-review. Another participant observed that standardized work can gain efficiency through artificial intelligence, but humans remain the leaders who make judgments and bear responsibility, and that data does not make banks more conservative but instead helps uncover enterprises overlooked by traditional evaluation models.

On the accuracy of artificial intelligence output, a technology company representative proposed that systems should display not only analysis results but also the underlying information and analytical process, ensuring consistency in the explanation of business logic.

The event was guided by the Financial Office of the Shanghai Municipal Party Committee and the Pudong New Area government, and hosted by relevant institutions. Television programs in the series aired on August 15, 2026 and the following day.

24TOPNEWS IMPACT INTELLIGENCE

Why this event matters

The event has a measured impact on 2 industrys. The strongest current signal is positive for Commercial Banks, with intensity 65/100 and 75% confidence over a short term horizon.

Financials · 14.2

Commercial Banks

Direction
positive
Intensity
65
Confidence
75%
Horizon
Short term
Effective impact +29
Technology · 10.4

Artificial Intelligence

Direction
positive
Intensity
60
Confidence
70%
Horizon
Short term
Effective impact +25

Impact figures are analytical estimates that combine direction, intensity, confidence and event importance. They are not investment advice.