Over half of surveyed banks are actively piloting agentic artificial intelligence systems designed to perform autonomous tasks and collaborate with human employees, signaling a significant shift in financial services productivity strategies.
- 51% of banks are testing AI agents for hybrid and autonomous roles
- AI assistants enhance wealth management, client vetting, and trading functions
- Faster decision-making replaces traditional manual underwriting and claim processing
Market signal
A recent survey reveals that 51% of banks globally have begun piloting agentic AI systems designed to operate autonomously on behalf of users while also working collaboratively with human employees. These AI agents are deployed across key banking functions including wealth management, client onboarding and vetting, treasury services, and trading. The increased incorporation of such technology reflects banks' strategic focus on integrating automation to improve end-to-end role efficiency.
Leading financial institutions such as Morgan Stanley are preparing digital assistants capable of 24/7 client engagement, pushing timely recommendations to advisors and supporting portfolio management decisions. Additionally, partnerships like Goldman Sachs with Anthropic and Citi’s AI-driven virtual team highlight competitive momentum around agentic AI adoption at scale.
Operator impact
Banks face operational shifts as agentic AI transforms traditional workflows by augmenting or replacing manual tasks with automated analysis and decision-making capabilities. Employees will increasingly occupy hybrid roles requiring interaction with AI agents, altering workforce composition and productivity metrics. This evolution promises to streamline labor-intensive areas such as underwriting, transaction accounting, and customer service.
From a client service perspective, AI agents reduce latency in financial product delivery—small business loans that once took weeks for manual underwriting may be approved within minutes. This enhances customer experience while enabling financial institutions to reduce turnaround times dramatically without sacrificing accuracy or compliance.
What to watch next
Monitoring the rollout and scalability of agentic AI pilots will be critical as banks expand these technologies beyond testing phases. Stakeholders should observe how regulatory frameworks evolve in response to AI-driven decision processes, especially regarding transparency, accountability, and data privacy within financial services.
Additionally, the continued development of AI capabilities that support complex trading strategies, real-time portfolio rebalancing, and automated risk assessments warrants attention. Partnerships between traditional banks and AI startups or technology firms may accelerate innovation cycles, setting new standards for operational efficiency and client engagement in financial markets.