Goldman Sachs Rolls Out Firmwide AI Assistant

23 June 2025

Credit: Michael Nagle / Bloomberg via Getty Images

When Goldman Sachs Chief Information Officer Marco Argenti sent a memo on June 23 announcing the firmwide launch of the GS AI Assistant, the message was clear. Roughly 10,000 employees now have a new generative artificial intelligence partner in their professional toolkit. With this tool in place, Goldman has officially joined the ranks of forward-leaning financial institutions leveraging AI to enhance productivity and efficiency.

The GS AI Assistant serves as a behind-the-scenes workhorse for employees, automating routine tasks so professionals can redirect their efforts toward higher-level responsibilities. Whether parsing through dense regulatory documents or summarizing market research reports, the assistant acts much like a shorthand-enabled analyst. It can generate initial drafts of emails or presentations, easing the mental load on users. For data teams, it even offers tools for rapid exploration and basic analysis functions that traditionally required manual coding or spreadsheet maneuvers.

This rollout marks a strategic turning point in Goldman’s long-standing technology evolution. While the bank has been experimenting with AI for years, introducing machine learning in trading algorithms and risk modeling, the GS AI Assistant represents its most visible and wide-reaching application yet. It has emerged from pilot programs used by software engineers last year into an enterprise-grade platform deployed across front, middle, and back offices.

Goldman is not alone in its adoption. Citi introduced its internal tools Citi Assist and Citi Stylus for policy retrieval and document comparisons. Morgan Stanley relies on a client-facing chatbot to help financial advisors tailor communications. Bank of America has Erica, a virtual assistant used by consumers for everyday banking tasks. Goldman’s move positions it squarely among these giants as the firm races to stay technologically competitive.

For senior executives, the benefits are tangible. The expectation is that employee time spent on low-value administrative tasks will shrink, enabling more focus on revenue-driving activities like deal structuring, client advisory, and market research. In a world where every incremental gain in productivity can translate into billions of dollars, the GS AI Assistant aims to be a multiplier of talent, not just a time saver.

Goldman’s IT leadership underscores two key themes behind the rollout. First, security compliance. The assistant taps into approved large language models, ensuring output remains within financial regulations. Second, customizability. While most banks rely on external platforms, Goldman has built its assistant to interact with multiple engines from OpenAI’s GPT models to Google’s Gemini and internal open-source variants allowing teams to select the tool that best suits the task.

The adoption reflects Goldman's growing confidence in AI as not merely a tool for trading and risk but also a strategic asset in knowledge work. CEO David Solomon told investors earlier this year that the bank views AI as integral to scaling engineering capabilities and modernizing its technology stack.

However, bringing AI to mainstream use involves risks as well. Errors in summarizing legal or regulatory texts could have compliance consequences. Goldman’s controls include periodic audits of model outputs and usage tracking. Still, managing adoption among 46,600 employees will demand robust training, trust-building, and user education to ensure the technology enhances workflows without introducing confusion or risk .

The market is paying attention. Goldman shares held steady after news of deployment, signaling investor confidence but also caution. Analysts will watch how the tool translates into downstream impacts on margins, headcount allocation, and service delivery. Moreover, competitors and fintech upstarts are likely to follow fast, either by expanding their enterprise offerings or partnering with emerging AI platforms.

Looking ahead, Goldman’s next move may be deeper integration. The goal will be to streamline the AI assistant into client-facing portals, strategy workflows, and even deal origination platforms. With growing adoption, internal feedback loops could refine the assistant to anticipate specific business needs embedding AI in the DNA of Goldman’s service delivery model.

In a financial landscape defined by rapid change, Goldman Sachs’ firmwide AI deployment positions it as both pioneer and pragmatist. The bank has crossed a threshold from experimentation to enterprise-grade AI. Execution from here will determine whether the GS AI Assistant remains a useful internal tool or becomes a defining element of Goldman’s competitive identity.

On June 23, as staff logged on to explore GS AI Assistant for the first time, Goldman signaled that this is not a trial, it is the new normal for intelligence at one of the world’s most influential banks.