生成式人工智能在中央银行的应用

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - Generative AI has the potential to significantly boost global productivity, with estimates suggesting annual gains between $2.6 trillion and $4.4 trillion, and an output increase of 15-20% over 15 years post-adoption [3][4] - A survey indicates that over 40% of corporations report a return on investment from advanced Generative AI initiatives within the range of 11-30% [3] - The adoption rate of Generative AI among firms is rapidly increasing, with 65% of international corporations using it regularly by early 2024, nearly double the percentage from 2023 [6][5] - The amount of data created globally is projected to grow from 149 zettabytes in 2024 to over 394 zettabytes by 2028, fueling AI development [7] Summary by Sections Workshop Goals and Focus - The workshops aim to showcase projects, share expertise among central banks, and reduce reliance on external service providers, with the latest workshop focusing on Generative AI applications in central banking [2] AI Applications in Central Banking - AI enhances forecasting and nowcasting capabilities, regulatory compliance, financial supervision, and legal analysis, indicating its growing ubiquity in central banking [9][11] Workforce and Governance - A sound AI governance framework is essential, emphasizing policy preparedness and the need for firms to adapt their workforce towards IT, engineering, and mathematics expertise [19][23] - Training and reskilling are crucial for successful AI adoption, addressing resistance to change among employees [23] Cross-Institutional Cooperation - Encouragement of cross-institutional cooperation is vital due to the blurred regulatory boundaries in data-intensive technologies like AI, with a focus on cross-border data sharing [24][25]