Goldman Sachs has officially launched its generative AI assistant, GS AI Assistant, across its 46,000-strong global workforce. This was done after an extensive internal pilot that began earlier this year with 10,000 employees and is part of the bank’s strategy to embed AI-driven productivity tools across its operations.
The AI assistant is designed to support the specific needs of various departments. It operates using several large language models, including OpenAI’s GPT-4, Google’s Gemini, and select open-source alternatives. These models are hosted internally to meet the firm’s data-privacy and compliance requirements.
It can handle a variety of functions, and help teams to draft research notes, summarise regulatory documents, reply to client queries, generate software code, and translate research into multiple languages. The tool has been integrated into Goldman Sachs’ proprietary software and data infrastructure. This allows employees to access firm-specific knowledge, such as compliance policies and past transaction records.
Initial feedback from the pilot programme indicated strong adoption across teams. Employees felt their efficiency improve. They also reported more accuracy and admitted to saving time while handling daily tasks. With this full-scale rollout, Goldman Sachs aims to improve the productivity of its investment bankers, wealth managers, engineers, and support staff.
GS AI Assistant is part of a growing internal AI toolkit that also includes tools like Banker Copilot, Legend AI Query, and Translate AI. These platforms automate data-heavy tasks, enabling natural language search within internal databases, and adapting content for global clients.
Goldman Sachs is just one of the many financial institutions that have adopted generative AI to enhance internal operations. Firms such as Morgan Stanley, JPMorgan Chase, and Bank of America are also investing in similar tools.
