Core Insights - Goldman Sachs is focusing on scaling artificial intelligence (AI) capabilities across its business to enhance productivity and efficiency [1][2] - The firm has seen a positive return on investment (ROI) from generative AI, with 57% of information firms reporting very positive ROI from their AI deployments [2] AI Implementation Strategy - Goldman Sachs is adopting a multi-pronged approach to AI, including the establishment of "AI champions" within each business group to identify effective use cases [3][4] - The GS AI Assistant, a generative AI chatbot, is being rolled out to approximately 10,000 employees, with plans for broader access throughout the year [5][6] Developer Focus - The firm has over 12,000 developers, representing a quarter of its workforce, and aims to enhance their performance through AI [7][8] - The GS AI Platform has been developed as a foundation for various AI applications, emphasizing security and governance [8][10] Governance and Risk Management - Goldman Sachs is prioritizing governance and risk control in its AI deployment, ensuring safe and secure use of AI technologies [10][11] - The company is preparing for the integration of AI agents that will transform entire workflows rather than just individual tasks [11][12] Future Directions - There is significant interest in AI use cases for document and life cycle management, aimed at improving operational efficiency and client service [12]
Inside Goldman Sachs' Big Bet on AI at Scale