Goldman Sachs launches GenAI assistant across global workforce for research, content, client queries, and more

Goldman Sachs has officially rolled out its generative AI assistant, GS AI Assistant, across its global workforce of over 46,000 employees, as per media reports.

The firm-wide deployment comes after a months-long pilot involving around 10,000 users across various departments.

AI assistant tailored for different teams

The GS AI Assistant is designed to work with several approved large language models (LLMs), including versions of OpenAI’s GPT-4, Google’s Gemini, and open-source alternatives.

These models are hosted internally, reportedly ensuring privacy and compliance with the firm’s data security standards.

Goldman Sachs’ Chief Information Officer, Marco Argenti, was quoted in reports saying the assistant has been trained to handle department-specific tasks, including drafting research notes, summarising regulatory content, answering client queries, generating code, and translating research documents into multiple languages.

The goal is to offer a productivity tool that adapts to the unique needs of bankers, wealth managers, engineers, and support staff.

Internal testing showed strong adoption

The assistant was first introduced to a limited group of employees earlier this year as part of an internal testing phase. The tool quickly gained traction, with users citing improvements in speed, accuracy, and overall workflow efficiency.

In interviews, Argenti has described the launch as “an important moment” for Goldman Sachs’ AI strategy, reflecting its broader ambition to integrate intelligent automation across the organisation.

The platform has been built using the bank’s own software infrastructure and combines both proprietary data and public knowledge sources. Employees can use it to generate first drafts, explore datasets, or retrieve answers from firm-specific documentation, such as compliance manuals or past deal histories.

Part of a growing AI toolkit

GS AI Assistant joins a suite of AI tools already in use at the firm, including “Banker Copilot,” which helps bankers manage data-heavy tasks, and “Legend AI Query,” a natural language tool that enables users to search across internal data systems.

Goldman also employs Translate AI, which helps turn research content into local languages for client distribution—especially in global markets.

Industry trend gaining momentum

Goldman Sachs is one of several major Wall Street firms investing heavily in generative AI. Morgan Stanley has already rolled out an AI chatbot for its financial advisers. JPMorgan Chase is developing similar capabilities, while Bank of America continues to build on its AI assistant, Erica.

Citi has also deployed tools like Citi-Assist and Citi-Stylus, which help employees search company policies or summarise long documents. The broader financial sector is increasingly viewing generative AI as a key asset in modernising operations and improving internal efficiency.