TLDR: Goldman Sachs employees are now generating over a million generative AI prompts per month, demonstrating a significant increase in the adoption and usage of AI tools across the firm. This widespread integration follows the deployment of the GS AI platform to its entire 46,000-person workforce and extensive training.
Goldman Sachs has reached a new milestone in its adoption of artificial intelligence, with employees now generating more than one million generative AI prompts monthly. This surge in usage underscores the firm’s commitment to integrating advanced AI capabilities across its operations. The widespread adoption follows the recent rollout of GS AI, an internal platform hosting generative AI assistants, to its entire 46,000-person workforce, accompanied by comprehensive training programs.
According to Marco Argenti, Chief Information Officer at Goldman Sachs, the decision to expand AI access to all employees was driven by a meticulous understanding of internal client needs and a focus on data quality and valuable use cases. “There’s no quality AI without good quality data,” Argenti stated, emphasizing the importance of robust data infrastructure to support reliable AI outputs. The bank has been piloting the GS AI assistant across all levels—from engineers and analysts to partners—over the past year, gathering extensive feedback and benchmarking questions and answers to continuously refine the assistant’s performance and safety.
This initiative builds on Goldman Sachs’ prior AI deployments, including providing GitHub Copilot coding assistants to its 12,000 developers last year and introducing Cognition’s Devin agentic AI as a team member for developer teams. The firm’s strategy involves a phased expansion, ensuring readiness and confidence in the technology before broader deployment. The significant increase in prompts per employee indicates that not only is adoption high, but the depth of engagement with AI tools is also growing.
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Goldman Sachs views generative AI as a transformative force with the potential to significantly impact the global economy. Earlier research from Goldman Sachs predicted that breakthroughs in generative AI could boost global GDP by 7% (nearly $7 trillion) and increase productivity growth by 1.5 percentage points over a decade. While acknowledging the potential for automation to expose 300 million full-time jobs to some degree of automation, the firm also suggests that most jobs will be complemented rather than substituted by AI, and new jobs will emerge. The bank anticipates a future “hybrid workforce” where human and AI employees collaborate, managed by new roles that oversee both human and machine capital functions.
