The AI-fication of financial services continues to grow at a rapid pace, this time touching the thousands of employees at one of the most prestigious investment banks.

Goldman Sachs Group Inc. (GS  ) officially rolled out its proprietary generative AI assistant across the entire firm in June, marking a significant milestone in its ongoing digital transformation. Following a successful pilot with around 10,000 employees, the GS AI Assistant is now accessible to all staff, according to a company memo and reporting from Reuters.

The assistant, developed in-house, is designed to tackle a range of day-to-day tasks, including summarizing complex documents, drafting content, performing data analysis, and translating research into client-preferred languages. Goldman's Chief Information Officer Marco Argenti described the launch as a pivotal moment, emphasizing the tool's ability to "positively impact daily tasks and boost productivity."

How the Assistant Works: Multi-Model, Multi-Discipline

Unlike generic AI chatbots, the GS AI Assistant is built to interact with a suite of large language models-including OpenAI's GPT-4o, Google's (GOOG  ) (GOOGL  ) Gemini, and Anthropic's Claude-allowing employees to select the best fit for their needs. This flexibility enables the assistant to serve a diverse set of functions across the firm. For example, developers can use it to accelerate coding and application development, while investment bankers and research analysts benefit from document summarization, data extraction, and report drafting.

Notably, each department gets a version of the AI copilot with features tailored to its workflow. Wealth managers, for instance, can translate research for international clients at the click of a button-a capability that nods to the increasingly global nature of Goldman's business.

Wall Street's Race to AI

Goldman Sachs isn't alone in its AI ambitions. Morgan Stanley (MS  ) and Bank of America (BAC  ) have similarly deployed AI-driven assistants to their workforces, aiming to streamline internal operations and enhance client service. What sets Goldman apart is its focus on internal productivity and knowledge management, rather than customer-facing automation.

The move comes as financial institutions face mounting pressure to modernize, reduce costs, and stay competitive in a rapidly digitizing sector. According to PYMNTS, over 70% of finance leaders are actively integrating AI into their operations, and nearly all major banking boards have greenlit generative AI initiatives. The message is clear: the future of Wall Street is increasingly algorithmic.

Why It Matters

Goldman Sachs' firmwide AI rollout is more than just a tech upgrade-it's a strategic bet on the future of work in finance. By automating routine tasks and empowering employees with advanced tools, Goldman aims to boost efficiency without sacrificing the human expertise that defines its brand. If the experiment succeeds, it could set a new standard for how Wall Street works-and who (or what) does the work.