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 significantly advanced its AI integration from early exploratory initiatives in 2020 to extensive deployment by 2025, including a firmwide launch of the GS AI Assistant used by around 10,000 employees and piloting an autonomous AI software engineer 'Devin' for augmenting its 12,000 developers.
  • The bank's AI initiatives notably include generative AI tools for code generation, investment decision enhancement, productivity boosts (e.g., 40% faster coding, 27% intraday trading profitability increase), and a strategic internal AI education focus led by key figures such as CIO Marco Argenti and CEO David Solomon.
  • Goldman Sachs is actively investing in foundation models, agentic AI, and generative AI, emphasizing ROI and human oversight, forecasting major productivity and market size growth by 2030, while anticipating AI-driven workforce transformation with a hybrid human-AI collaboration model.

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5 AI Use Cases at Goldman Sachs

Code Generation
2025
Traditional
Generative
Agentic
Outcome
Revenue
Goldman Sachs uses generative AI tools to automate and accelerate software development processes, enabling thousands of developers to produce code faster and reduce manual coding effort, exemplified by the GS AI Assistant and the autonomous AI software engineer Devin. [1][2]
AI Workforce Collaboration
2025
Traditional
Generative
Agentic
Outcome
Revenue
The firm is piloting agentic AI agents to autonomously perform complex tasks in software engineering and banking operations, fostering a hybrid workforce where humans supervise AI workers to enhance output and innovation. [1][2]
Productivity Boost
2025
Traditional
Generative
Agentic
Outcome
Costs
Goldman Sachs implements AI assistants firmwide to summarize documents, draft content, and perform data analysis, resulting in substantial productivity gains across trading desks, compliance, engineering, and client services. [1][2]
Compliance Automation
2025
Traditional
Generative
Agentic
Outcome
Risk
Goldman Sachs utilizes AI to reduce regulatory analysis time from weeks to hours and decrease false positive rates in compliance monitoring, improving efficiency and reducing operational risk. [1]
Investment Insights
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
AI tools at Goldman Sachs enhance investment decision-making by analyzing large datasets and generating insights, improving productivity and client service efficiency in wealth and asset management divisions. [1]

Timeline

2025 Q4: no updates

2025 Q3

3 updates

Goldman Sachs pilots an autonomous AI software engineer named Devin, augmenting 12,000 human developers to automate complex coding tasks; CIO Marco Argenti emphasizes a hybrid workforce model wherein AI agents collaborate with humans; Goldman projects sizable software market growth driven by AI agents and promotes empowerment of 'AI natives' among employees.

2025 Q2

3 updates

Firmwide launch of the GS AI Assistant with over 10,000 employee users; initiatives include AI education programs for portfolio company executives and substantial productivity gains reported across trading, engineering, and compliance; emphasis on transparency, human oversight, and return on investment.

2025 Q1

4 updates

Goldman Sachs rolled out the GS AI Assistant to roughly 10,000 employees, focusing on automating bankers’ tasks, boosting productivity, and expanding generative AI use firmwide under leadership including CEO David Solomon and CIO Marco Argenti.

2024 Q4

1 updates

Focus on leveraging AI to enhance investment decision-making capabilities with advanced tools aiding investors at Goldman Sachs.

2024 Q3

2 updates

Goldman Sachs completed the rollout of its generative AI coding tool to thousands and discussed complexity and hype around generative AI adoption.

2024 Q2

2 updates

Goldman Sachs completed rollout of its first generative AI tool for code generation to thousands of developers and discussed the scale and cost-benefit of AI investments.

2024 Q1: no updates

2023 Q4

1 updates

Goldman Sachs highlighted the rapid emergence of generative AI tools, emphasizing increased privacy and generative AI adoption.

2023 Q3: no updates

2023 Q2: no updates

2023 Q1

1 updates

Goldman Sachs published research estimating generative AI could boost labor productivity growth by 1.5 percentage points, highlighting AI’s economic potential.

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

Goldman Sachs began AI explorations focusing on applications in wealth management and cybersecurity.