Goldman Sachs hones AI tools to boost productivity and expand advisory reach

Goldman Sachs is accelerating its shift into artificial intelligence, rolling out tools that aim to boost productivity and reinvent how the firm supports employees and clients. At the center of this transformation is the GS AI Assistant, a generative AI tool that now reaches across the firm, reshaping workflows and changing the conversation about how people and machines work together.

Initially shared with only around 10,000 employees, the GS AI Assistant has now been deployed firmwide, touching roles across investment banking, wealth management, research, asset management, and tech development. The tool helps with tasks ranging from summarizing dense reports to drafting first versions of content and crunching complex datasets. It also includes modules like Translate AI, which delivers fast, accurate document translations in multiple languages—helpful in global workflows. Goldman’s CIO framed the assistant as a productivity enhancer, not a replacement for human expertise. Employees are encouraged to lean on the tool for time-consuming work, freeing them to focus on higher-value analysis or client strategy.

The rollout is built on Goldman’s internal AI platform, which connects to large language models like OpenAI’s tools and Google’s Gemini, wrapped in secure guardrails to protect sensitive data. The bank has branded its broader AI infrastructure as carefully governed, with human oversight built in to prevent errors and ensure alignment with compliance standards. A dedicated network of “AI champions”—employees embedded in business units—helps drive adoption and find valuable use cases.

Employees report real gains. One partner said what used to take hours to write and refine could now be executed in minutes with the assistant’s help organizing ideas. Junior engineers described the platform as a “collaborative colleague,” helping with code, documentation, and analysis. Translating reports used to take days; now it can happen in minutes. Goldman sees these gains as foundational to its broader digital transformation. Executives say AI is already doing up to 95 percent of work on an IPO prospectus, which traditionally would take a team weeks to draft.

Enabling this push has been strategic hiring leadership. Goldman recently hired Daniel Marcu from Amazon’s AI research team to oversee its AI engineering and science efforts. This move reflects the firm’s commitment to building AI capabilities from the ground up.

As AI increasingly permeates finance, Goldman Sachs is staking a leadership position. The bank recognizes that human judgment remains essential. Its goal is to enhance human work with AI tools—letting people spend less time on repetitive tasks and more on strategy, client relationships, and oversight. Whether designing a trading model or crafting a client presentation, employees now have a digital edge to lean on. It’s a shift toward a hybrid approach where smart machines and skilled people amplify one another, rather than compete.