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 transitioned from AI experimentation (early 2020s) to firmwide deployment of generative AI tools by mid-2025, including a GS AI Assistant used by around 10,000 employees and pioneering agentic AI such as the autonomous AI software engineer 'Devin' piloted in 2025.
  • The firm has realized significant productivity gains and operational efficiencies, with reported improvements in trading profitability (27%), latency reduction (from 120ms to 14ms), accelerated onboarding (25%), and helpdesk ticket reduction (18%), supporting notable ROI on AI investments and emphasizing human-AI collaboration.
  • Leadership figures like CIO Marco Argenti and CEO David Solomon are prominently associated with the AI strategy, focusing on empowering AI-native young professionals, building AI infrastructure, and managing data security and privacy; Goldman anticipates AI-driven productivity and market expansion continuing strongly through 2026 and beyond.

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5 AI Use Cases at Goldman Sachs

Code Generation
2025
Traditional
Generative
Agentic
Outcome
Revenue
Goldman Sachs employs AI tools to automate and accelerate software development, deploying generative AI assistants like the GS AI Assistant to thousands of developers and piloting an autonomous AI software engineer named Devin to handle complex coding tasks and reduce manual developer workload. [1][2][3]
Trading Optimization
2025
Traditional
Generative
Agentic
Outcome
Revenue
AI models support Goldman Sachs trading desks by improving intraday profitability by 27%, reducing latency from 120ms to 14ms, and maintaining positive returns during volatile markets, helping traders make faster and better-informed decisions. [1][2]
Regulatory Compliance
2025
Traditional
Generative
Agentic
Outcome
Risk
AI tools reduce regulatory analysis time from weeks to hours and cut false positives by 35%, streamlining Goldman Sachs' compliance processes and reducing operational risks related to regulatory scrutiny. [1]
Productivity Assistance
2025
Traditional
Generative
Agentic
Outcome
Costs
The GS AI Assistant generative AI tool helps employees automate routine tasks such as summarizing documents, drafting content, and data analysis, increasing productivity across bankers, traders, and asset managers and reducing helpdesk tickets by 18%. [1][2]
Client Personalization
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
Goldman Sachs leverages AI insights from vast data to enhance client service and idea generation, helping advisors provide more tailored investment guidance and improving the overall customer experience. [1][2]

Timeline

2025 Q4

1 updates

Goldman Sachs continues to analyze how companies can capitalize on AI’s rise amidst market concerns of an AI bubble; observes shifting workforce impacts and broader economic implications of AI adoption.

2025 Q3

1 updates

Goldman Sachs pilots 'Devin', an autonomous AI software engineer developed by Cognition, marking a major milestone in agentic AI adoption; the firm forecasts large-scale productivity boosts and expansion of AI-driven software markets to $780 billion by 2030.

2025 Q2

1 updates

Firmwide launch of GS AI Assistant completed; Goldman emphasizes AI education programs for portfolio company leaders; significant AI productivity gains reported including 27% intraday trading profitability rise, reduced latency, and 40% faster coding.

2025 Q1

1 updates

Goldman Sachs launches the GS AI Assistant generative AI tool to about 10,000 employees, aiming to automate tasks traditionally done by junior bankers and increase productivity; announces a three-year AI productivity optimization program.

2024 Q4

1 updates

Goldman Sachs highlights AI’s power to enhance investment decision-making processes across its client services.

2024 Q3

1 updates

Goldman Sachs continues AI tool deployment for developers and reflects on generative AI’s complex integration into workflows.

2024 Q2

1 updates

Goldman Sachs completes the rollout of its first generative AI tool for code generation to thousands of developers; also explores the economics of AI spending across sectors.

2024 Q1: no updates

2023 Q4

1 updates

Goldman Sachs publicly discusses the rapid emergence of generative AI tools and models, highlighting firm-level privacy approaches and technological acceleration.

2023 Q3: no updates

2023 Q2: no updates

2023 Q1

1 updates

Goldman Sachs research estimates generative AI could boost aggregate labor productivity growth by 1.5 percentage points, signaling AI's broader economic impact.

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 at Goldman Sachs focused on wealth management and cybersecurity applications.