如何打造投顾第一城？广州“AI投顾十条”发布

Core Viewpoint - Guangzhou has introduced measures to promote AI investment advisory services, aiming to enhance the financial technology sector and establish itself as a leading city in investment advisory services in China [2]. Group 1: Policy and Regulatory Support - The first measure focuses on seeking support from higher regulatory authorities for the development of AI investment advisory services, advocating for a prudent regulatory framework suitable for AI applications [3]. - The second measure aims to establish an information-sharing mechanism for AI investment advisory development, involving various financial regulatory bodies to support the growth of AI advisory services [3]. - The third measure emphasizes the supply of data elements for the investment advisory industry, encouraging collaboration among financial institutions and data service providers to enhance data availability and standards [3]. Group 2: Industry Development and Infrastructure - The fourth measure encourages investment in AI advisory-related industries, promoting market-oriented funds to support AI and investment advisory integration [4]. - The fifth measure highlights the importance of building a secure and reliable computing power center for AI investment advisory, aiming to create a computing hub in the Guangdong-Hong Kong-Macao Greater Bay Area [5]. Group 3: Talent Development and Standards - The sixth measure focuses on establishing a standard system for AI investment advisory services, promoting research on service norms and algorithm transparency [6]. - The seventh measure supports the cultivation of AI talent through collaboration between financial institutions and educational entities, aiming to develop professionals skilled in both finance and AI [7]. Group 4: Risk Management and Industry Environment - The eighth measure emphasizes the importance of risk prevention in AI investment advisory services, encouraging collaboration between local and foreign advisory firms [8]. - The ninth measure aims to create a favorable environment for AI investment advisory development through various industry activities and public education initiatives [9]. - The tenth measure stresses the need for strict risk management practices, ensuring financial institutions are accountable for their use of AI in advisory services [9].