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 expanded its AI initiatives from early applications in wealth management and cybersecurity in 2020 to a firmwide deployment of generative AI tools by mid-2025, including a generative AI assistant rolled out to around 10,000 employees and autonomous AI coders.
  • Key figures such as CIO Marco Argenti and CEO David Solomon have emphasized AI's role in boosting productivity and efficiency, with Goldman Sachs estimating generative AI could increase aggregate labor productivity growth by 1.5 percentage points and projecting significant growth in AI-driven software markets.
  • Despite heavy investments and rapid adoption, Goldman Sachs acknowledges complexities and challenges in realizing AI benefits fully, with ongoing efforts to optimize productivity through a multi-year AI program and cautious evaluation of AI's impact on workforce roles.

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3 AI Use Cases at Goldman Sachs

Workforce Automation
Goldman Sachs explores AI-driven automation to replace or augment junior banker roles and other repetitive tasks, piloting autonomous AI workers to improve efficiency and reduce costs. [1][2][3]
Productivity Enhancement
Goldman Sachs implements AI assistants firmwide to support bankers, traders, and asset managers, aiming to boost labor productivity and operational efficiency across the organization. [1][2][3]
Code Generation
Goldman Sachs uses AI tools to generate and optimize code, deploying generative AI assistants to thousands of developers to increase software development productivity and reduce manual coding effort. [1][2][3]

Timeline

2025 Q3

2 updates

Goldman Sachs pilots autonomous AI software engineers, becoming one of the largest firms to employ AI workers, with research forecasting significant software market growth driven by AI.

2025 Q2

3 updates

Goldman Sachs launches firmwide AI assistant, expands AI education programs, and deepens AI investments under CEO David Solomon; concerns arise about AI replacing junior bankers.

2025 Q1

3 updates

Goldman Sachs aggressively scales AI with a firmwide generative AI assistant launched to about 10,000 employees, aiming to optimize productivity through a three-year program.

2024 Q4: no updates

2024 Q3

2 updates

Goldman Sachs completes rollout of its generative AI code generation tool to thousands of developers, while discussing AI's complex investment landscape.

2024 Q2

2 updates

Goldman Sachs rolls out its first generative AI tool for code generation to thousands of developers, amid industry-wide AI investment scrutiny.

2024 Q1: no updates

2023 Q4

1 updates

Goldman Sachs highlights rapid emergence of generative AI tools and models, emphasizing privacy and technological acceleration.

2023 Q3: no updates

2023 Q2: no updates

2023 Q1

1 updates

Goldman Sachs Global Investment Research estimates generative AI could boost labor productivity growth by 1.5 percentage points.

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 begins exploring AI applications focusing on wealth management and cybersecurity.