Goldman Sachs expects artificial intelligence agents to become a regular part of the banking workforce, potentially changing how young professionals build their careers on Wall Street.
Goldman Sachs chief information officer Marco Argenti argued that employees could learn to manage AI agents before they manage human teams. This will help young bankers develop skills such as delegation, supervision and task management much earlier in their careers.
Argenti sees AI as more than a productivity tool. He expects workers to operate with an ‘augmented team’ of AI agents that can handle tasks and provide leverage. This could allow employees to move towards higher-value responsibilities faster.
The shift could alter the traditional career path in investment banking. Junior employees typically spend years building expertise by completing detailed analysis, preparing documents and handling repetitive assignments.
AI agents could increasingly perform parts of this work. Bankers would then need to define tasks, break complex assignments into smaller steps and check the systems’ output. This does not mean employees can simply hand over responsibility to AI. Argenti highlights the importance of supervision and a ‘trust but verify’ approach.
The model could also make the banking workforce more flexible. Research and industry commentary have pointed to a future in which the number of AI agents working at a bank could expand or contract depending on business requirements.
Goldman Sachs has already expanded its use of AI across the organisation. Its internal AI tools support employees, while the bank continues to examine more autonomous systems for specific workflows.
The bank’s technology leadership framed AI as a force multiplier rather than simply a replacement for individual jobs. Argenti has previously said AI is more likely to change tasks within professions than eliminate entire occupations.
Goldman is also paying close attention to the risks. Autonomous systems can create new operational and regulatory challenges, particularly when they receive access to sensitive financial data or business processes. The bank has therefore focused on restricting what AI agents can access and do.
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