AI Business
3d ago
Goldman Sachs CIO advocates for measuring team productivity over individual AI usage
May 8, 2026
AI Summary
Marco Argenti, Goldman Sachs' CIO, believes that tracking individual AI usage does not effectively measure productivity. Instead, he emphasizes the importance of assessing how quickly engineering teams can move from idea generation to execution, noting improvements in workflow and employee attitudes towards AI.
- Marco Argenti, chief information officer at Goldman Sachs, argues that monitoring individual AI usage is not a useful productivity measure.
- He focuses on the speed at which engineering teams transition from ideas to execution, observing that a productive team's backlog decreases rapidly.
- AI tools have enabled employees to quickly create prototypes and adjust them in real time, enhancing efficiency.
- Goldman Sachs has implemented AI technologies, including the GS AI Platform and an in-house version of ChatGPT, to improve operations while ensuring data security.
- Other companies, like Google and Accenture, are evaluating employee performance based on AI usage, but Goldman Sachs takes a different approach.
- Employee attitudes towards AI at Goldman Sachs are shifting from skepticism to a sense of empowerment as they become more familiar with the technology.
goldman sachsai usagechatgpttechnologyengineering