Hong Kong FinTech Association releases white paper: AI adoption rate in Hong Kong financial services industry is at 38%, higher than the global average.

On April 2nd, the latest survey conducted by the FinTech Association of Hong Kong (FTAHK) showed that the adoption rate of artificial intelligence in the financial services industry in Hong Kong has reached 38%, leading globally. However, several structural weaknesses may weaken Hong Kong's current leading advantage. The white paper "Artificial Intelligence in Financial Services: The Way Forward for Hong Kong" released by FTAHK points out that while Hong Kong's adoption rate of artificial intelligence is far above the global average of 26%, to maintain its competitive edge, it still needs to address several challenges, including talent shortage, fragmented data infrastructure, regulatory uncertainty, and unresolved ethical concerns. The white paper notes that although most AI applications currently are primarily for internal use and have not yet directly faced customers, in order to further expand AI to higher value applications, it is necessary to address four key structural challenges: To drive a breakthrough in AI application at the enterprise level, the FTAHK Committee has developed a comprehensive blueprint and set multiple goals for 2030, including: achieving a 90% AI adoption rate for all financial institutions in Hong Kong; attracting HK$8 to HK$12 billion in AI-related angel investments, venture capital (VC), private equity (PE), and family office funds; launching over 75 new AI-native financial products and services; and ranking in the top three globally for AI innovation in the financial industry. The blueprint also provides specific recommendations for stakeholders, including suggesting that regulatory agencies such as the Hong Kong Monetary Authority and the Securities and Futures Commission formulate clearer, principle-based guidelines for AI model validation, and expand the scope of regulatory sandboxes, particularly to make it easier for small and medium enterprises to participate. The white paper also calls on the government to streamline AI funding programs and to engage in formal dialogue with relevant authorities in the Greater Bay Area to promote cross-border data flow for AI model training. To strengthen Hong Kong's position as an international financial center, the white paper points out that the Greater Bay Area will play a critical role in this regard. Applications such as AI-driven highly personalized wealth management services spanning the entire bay area, and AI-optimized cross-border payment infrastructure, will help Hong Kong maintain its lead in AI applications. Other application scenarios to drive Hong Kong towards an AI future include: transforming regulatory compliance into a competitive advantage through AI's real-time monitoring and predictive violation detection capabilities; transitioning the insurance industry from a passive "claims and payouts" mode to an active "predictions and prevention" mode; consolidating Hong Kong's position as a global hub for green finance and ESG analysis; meeting the needs of Hong Kong's small and medium enterprises (SMEs) through a "cognitive financial agent" with functions such as automated accounting, cash flow forecasting, and tailored financing recommendations; developing AI-driven talent training platforms; automating trade finance processes; and enhancing employee productivity through AI-driven internal assistants. Furthermore, to address talent challenges, the blueprint in the white paper proposes several specific milestones, including facilitating partnerships between universities and top financial institutions to launch pilot programs for AI talent development. The program aims to train over 200 professionals annually in key areas such as AI risk management, ethics, and data governance, with the first batch of students expected to enroll in the first half of 2027. Lareina Wang, Chairperson of the FinTech Association of Hong Kong, stated that Hong Kong is at a crucial moment, and research confirms that Hong Kong is at the forefront of embracing AI. However, this leading advantage is fragile, and the decisions made by Hong Kong regarding AI governance and ecosystem development will determine whether it can consolidate its position as a leading international financial center or risk being left behind.