Goldman Sachs launches internal AI assistant, with over ten thousand employees using it

Wallstreetcn
2025.06.24 03:26
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Goldman Sachs announced the launch of an AI assistant called "GS AI Assistant" across the company, with main functions including summarizing complex documents, drafting initial content, and conducting data analysis, aimed at improving employee productivity. Previously, Citigroup, Morgan Stanley, and Bank of America had all developed their internal AI tools

Goldman Sachs joins the Wall Street artificial intelligence race, fully launching a company-wide AI assistant.

On Monday, Goldman Sachs announced the launch of an AI assistant named "GS AI Assistant" across the company, aimed at enhancing employee productivity and officially joining the competition among major Wall Street firms to leverage AI technology for operational efficiency.

The main functions of GS AI Assistant include summarizing complex documents, drafting initial content, and conducting data analysis. These functions are designed to help employees handle daily tasks more efficiently, especially in scenarios that require quickly digesting large amounts of information or generating preliminary reports.

According to reports citing an internal memo sent by Goldman Sachs Chief Information Officer Marco Argenti, the bank currently has about 10,000 employees using this AI tool, indicating that the project has received preliminary validation internally.

Previously, several large financial institutions have taken the lead in deploying AI tools to optimize operational processes.

Reports indicate that Citigroup has launched Citi Assist and Citi Stylus, with the former used for searching internal policies and processes, and the latter focused on document summarization and comparison; Morgan Stanley has developed a chatbot for financial advisors to interact with clients; Bank of America's virtual assistant Erica serves the daily transaction needs of retail customers.

These cases demonstrate that the application of AI technology in the banking industry has moved from the experimental stage to deep integration, covering multiple aspects from internal management to customer service