Rudy Lai
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AI @ Goldman Sachs

Investment banking and asset management
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • Goldman Sachs has progressively integrated AI from early exploratory stages in 2020 to widespread firmwide deployment by mid-2025, notably launching a generative AI assistant to roughly 10,000 employees and piloting agentic AI software engineers, boosting productivity and operational efficiency.
  • Key executives like CIO Marco Argenti have driven adoption emphasizing AI as a cognitive multiplier and productivity enhancer; generative AI tools contribute to faster coding (40% boost), reduced onboarding time (25%), and significant profitability improvements on trading desks (27%).
  • The firm is advancing from traditional predictive AI to agentic AI capabilities, including autonomous code generation, projecting substantial market growth in AI-related software by 2030 ($780 billion), while focusing on transparency, human oversight, and ROI-driven AI deployments.

VIBE METER

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4 AI Use Cases at Goldman Sachs

Code Generation
2025
Traditional
Generative
Agentic
Outcome
Revenue
Goldman Sachs uses AI tools to automate and accelerate code generation tasks for thousands of developers, reducing manual coding effort and improving software deployment speeds. [1][2][3]
Risk Management
2025
Traditional
Generative
Agentic
Outcome
Risk
AI tools accelerate regulatory compliance analysis, reducing analysis time from weeks to hours with lower false positive rates, enhancing risk identification and mitigation capabilities. [1]
Productivity Enhancement
2025
Traditional
Generative
Agentic
Outcome
The firm deploys a generative AI assistant that helps employees across bankers, traders, and asset managers by automating document summarization, drafting content, and data analysis to improve efficiency and decision-making. [1][2][3]
Client Personalization
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
The firm leverages AI for personalized client insights and investment decision-making improvements by analyzing vast data resources for tailored recommendations. [1][2]

Timeline

2025 Q3

1 updates

Pilot launch of 'Devin', an autonomous AI software engineer developed by Cognition, augmenting Goldman’s 12,000 developers; projected to increase worker productivity by 3-4x, representing a major agentic AI milestone.

2025 Q2

2 updates

AI adoption intensified with the firmwide rollout of the GS AI Assistant to 10,000 employees; productivity enhancements included 27% trading intraday profit increase and code development speed boosts; emphasis on transparency and human oversight.

2025 Q1

1 updates

Goldman Sachs launched the GS AI Assistant firmwide, a generative AI tool supporting bankers, traders, and asset managers, with focus on productivity gains and operational efficiency.

2024 Q4

1 updates

AI began to enhance investment decision-making, with Goldman Sachs leveraging AI-driven insights and tools to improve client services and operational workflows.

2024 Q3

1 updates

Continued rollout of generative AI tools for developer code generation; growing industry discussion around AI investments and realistic expectations.

2024 Q2

1 updates

Goldman Sachs deployed its first generative AI tool for code generation across thousands of developers, signaling operational scaling of AI tools firmwide.

2024 Q1: no updates

2023 Q4

1 updates

Emergence of generative AI tools and models accelerated, with Goldman Sachs emphasizing privacy and rapid adoption, signaling transition toward advanced AI technologies.

2023 Q3: no updates

2023 Q2: no updates

2023 Q1

1 updates

Goldman Sachs Global Investment Research published estimates of generative AI boosting aggregate labor productivity growth by 1.5 percentage points, emphasizing AI’s macroeconomic importance.

2022 Q4: no updates

2022 Q3: no updates

2022 Q2: no updates

2022 Q1: no updates

2021 Q4: no updates

2021 Q3: no updates

2021 Q2: no updates

2021 Q1: no updates

2020 Q4: no updates

2020 Q3: no updates

2020 Q2: no updates

2020 Q1

1 updates

Initial AI initiatives focused on applications in wealth management and cybersecurity, marking Goldman Sachs exploring AI capabilities.