Goldman Sachs Partners with Anthropic to Use AI for Automating Banking Tasks: CNBC

• Goldman has spent six months working with embedded Anthropic engineers to build AI agents for trade and transaction accounting, client due diligence, and onboarding processes
• The agents are based on Anthropic's Claude model and are expected to significantly reduce time required for core operational processes, though deployment is still in early stages
• The partnership aligns with Anthropic's business push through products like Claude Cowork, which executes computer tasks for white-collar workers

Summary: Goldman Sachs Partners with Anthropic for AI Banking Automation

Goldman Sachs has confirmed its partnership with AI startup Anthropic to develop autonomous AI agents that will automate critical internal banking operations. The collaboration, reported by CNBC on February 6, 2026, has been ongoing for six months with Anthropic engineers embedded directly within Goldman's teams.

Key Developments

The Wall Street bank is building AI-powered agents using Anthropic's Claude model to handle core functions including:

• Trade and transaction accounting
• Client due diligence
• Customer onboarding processes

According to Goldman's Chief Information Officer Marco Argenti, the technology is expected to significantly reduce completion times for essential operational processes, though the bank remains in early development stages.

Market Context

The partnership leverages Anthropic's Claude Cowork product, designed to execute computer-based tasks for white-collar workers. Goldman plans to launch these AI agents "soon," though no specific timeline was provided.

Implications

This collaboration signals the accelerating integration of generative AI into traditional banking operations, potentially reshaping how major financial institutions handle routine but critical tasks. The move could drive competitive pressure on other banks to adopt similar automation technologies to maintain operational efficiency.

The partnership positions Goldman Sachs as an early mover in deploying advanced AI agents for banking functions, potentially reducing operational costs and improving processing speeds. However, the early-stage nature of development suggests meaningful financial impact may take time to materialize. The initiative also reflects broader industry trends toward AI adoption in financial services, particularly for automating repetitive, high-volume processes.