Against the backdrop of artificial intelligence (AI) deeply penetrating the financial system, my country's high-tech industry exports are significantly affected by digital finance. The research theme of this paper is set as "AI empowerment-financial innovation-export upgrading", building a theoretical mechanism model to comprehensively analyze how AI technology can promote the reshaping of high-tech industry export paths by optimizing the allocation of financial resources, improving the efficiency of financial services, and reducing transaction costs. Using spatial panel data from 280 prefecture-level cities in China from 2016 to 2022, this paper empirically examines the impact of "AI + digital finance" on the export performance of high-tech products, and also discusses its regional differences and spatial spillover effects. The results confirm that AI-enabled digital finance plays a key role in promoting high-tech industry financing, promoting innovation investment, and expanding the market, especially in the high-penetration areas of the eastern coastal areas. The results are extremely outstanding. The article provides strategies for optimizing intelligent trade paths and suggestions for diversified collaborative governance to help achieve a more accurate and efficient development path for digital trade. This study provides theoretical reference and policy support for promoting the intelligent transformation of China's high-tech industry exports.

Shuochen Bi, Yufan Lian. Research on the Export Trade Path Mechanism of Digital Finance and High-tech Industries under AI Technology. Socio-Economic Statistics Research (2025), Vol. 6, Issue 1: 54-63. https://doi.org/10.38007/SESR.2025.060106.

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