AI @ Goldman Sachs
Summary
- Goldman Sachs has evolved from exploratory AI initiatives in 2020 into comprehensive adoption by 2025, including launching a firmwide generative AI assistant (the GS AI Assistant) used by around 10,000 employees and deploying an autonomous AI software engineer named Devin to augment 12,000 developers, significantly boosting productivity.
- The firm strongly emphasizes integrating AI for productivity and operational efficiency, with reported gains like 27% increased intraday trading profitability, 40% faster coding, and substantial reductions in compliance workloads. The leadership, especially CIO Marco Argenti and CEO David Solomon, focus on embedding AI into core workflows, nurturing 'AI natives' among younger staff, and maintaining human oversight to maximize ROI and minimize risk.
- Forecasts and research from Goldman Sachs predict AI-driven expansion of software markets to $780 billion by 2030, a 13% CAGR, and an increase in labor productivity by 1.5 percentage points. They anticipate AI to have broad economic impact while carefully balancing innovation with concerns about workforce displacement and data security.
VIBE METER
4 AI Use Cases at Goldman Sachs
Code Generation2025
Document Summarization2025
Risk Compliance2025
Timeline
2026 Q1
Goldman Sachs projects AI scaling challenges focused on infrastructure, specifically power consumption, emphasizing the necessity for capital and grid access to meet rising AI demand.
2025 Q4
Goldman Sachs addresses AI bubble concerns, underscores sustained AI investment with expected capital spending over $500 billion in 2026, integrates AI in hiring and workforce transformation, and highlights AI-driven shifts in client investments and operational models.
2025 Q3
Goldman Sachs advances AI strategy emphasizing generative AI, foundation models, and agentic AI; empowers 'AI natives' for leadership roles and envisions hybrid AI-human workforce; forecasts $780 billion software market by 2030 driven by AI.
2025 Q2
Goldman Sachs completes firmwide GS AI Assistant rollout with approximately 10,000 users, introduces AI education programs, and pilot deploys Devin, an autonomous AI software engineer augmenting 12,000 developers; reported productivity gains are substantial.
2025 Q1
Goldman Sachs launches GS AI Assistant generative AI tool firmwide, implementing its own AI platform to boost productivity and efficiency among bankers, traders, and asset managers.
2024 Q4
Goldman Sachs publishes insights on using AI to enhance investment decision-making, highlighting AI's emerging role in client advisory and operational efficiency.
2024 Q3
Goldman Sachs completes the rollout of its first generative AI tool for code generation to thousands of developers, illustrating an embrace of generative AI amidst mixed market perceptions.
2024 Q2
Goldman Sachs rolls out its first generative AI tool targeting code generation across thousands of developers, while engaging in industry-wide discussions on AI spend vs. benefit.
2024 Q1: no updates
2023 Q4
Goldman Sachs publishes articles recognizing the rapid emergence of generative AI tools and models, signaling growing internal focus on these technologies.
2023 Q3: no updates
2023 Q2: no updates
2023 Q1
Goldman Sachs' Global Investment Research publishes forecasts estimating generative AI could boost aggregate 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
Goldman Sachs initiates AI exploration with applications in wealth management and cybersecurity, marking the start of AI integration.