江小涓：当前数字金融发展需要关注的若干问题｜金融与科技

Group 1 - The core viewpoint emphasizes the need for financial innovation to support the development of the data factor market, addressing challenges such as data asset valuation and risk management in financial institutions [1][2] - A significant bottleneck in the data factor market is the difficulty in valuing data assets, which hinders their use as collateral for loans. Financial institutions are hesitant to lend against data assets due to their rapid depreciation and uncertainty in valuation [2] - The increasing global influence of Chinese technology companies is leading to a rise in overseas listings, presenting both opportunities and challenges for domestic capital markets. If domestic markets do not enhance their attractiveness, high-quality companies may migrate abroad [4] Group 2 - New types of risks are emerging from the use of standardized AI algorithms in financial institutions, which can lead to homogeneity in risk assessment and potential market volatility due to collective investor behavior [5] - The importance of both digital intelligence and institutional innovation is highlighted, as the financial sector must not only focus on technological advancements but also on improving regulatory frameworks and market mechanisms to enhance competitiveness [6] - China's financial technology patent applications accounted for over 40% of the global total in 2022, indicating rapid technological advancement, yet there remains a need for systemic improvements to avoid inefficiencies in a highly digitized financial system [6]