The financial sector is witnessing a significant shift with the advent of AI agents that are capable of executing transactions, thereby creating a new financial paradigm. According to a recent survey by PwC, 79% of companies are already leveraging AI agents in some capacity, underscoring the rapid growth of this technology. Initially, AI systems were primarily used for advisory roles, but they are now being utilized for execution, planning, and decision-making, including financial transactions.
This has led to the emergence of 'agentic finance', a concept where AI agents perform financial actions within predefined parameters set by humans. Agentic finance can be broken down into three distinct layers: the agentic commerce layer, which focuses on discovery and decision-making; the agentic payments layer, which handles execution; and the asset management layer, which represents the full stack, enabling agents to manage portfolios and optimize financial strategies. Theoretically, AI agents have a viable use case in the financial sector; however, they do not align seamlessly with traditional financial infrastructure. This is where crypto comes into play, offering AI agents access to programmable money, instant settlement, and permissionless access to funds.
As a result, crypto is increasingly becoming the infrastructure for autonomous systems, rather than just an asset class. Early implementations of AI agents are already visible, with machine-to-machine payments, autonomous commerce, and trading agents being deployed for portfolio management and yield optimization. Beyond these use cases, AI agents are also driving demand for crypto and giving rise to new investable categories.
Despite the momentum, there are risks and limitations associated with AI agents, including security concerns and regulatory uncertainty. Over the next twelve months, the growth of agent-driven transaction volume, emergence of agent-native wallets, and deeper integration between stablecoins and AI-driven systems will be crucial in shaping the future of this technology. Regulatory clarity will also play a significant role in determining the pace and scope of adoption.
In conclusion, AI agents are no longer a theoretical concept; they are already executing transactions in limited environments. As this trend continues to develop, crypto is likely to emerge as the financial backbone for machine-driven economies, making it an essential infrastructure and long-term thematic play for advisors to track.