Unlocking the Potential of Crypto for Financial Advisors: The Rise of AI-Powered Transactions

The current financial landscape is undergoing a significant transformation with the emergence of AI agents that can execute financial transactions, marking the beginning of a new era in finance. According to a recent survey by PwC, 79% of companies are already leveraging AI agents in some capacity, indicating a substantial shift towards machine-driven economies. Initially, AI systems were primarily used for advisory roles, but they are now being utilized for execution, making decisions, and taking actions based on predefined parameters set by humans, including financial transactions. This has led to the formation of 'agentic finance,' a novel concept where AI agents perform financial actions within predefined rules and constraints. The agentic finance framework 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, handle payments, and optimize financial strategies in real-time. While AI agents do have a use case in the financial space, they do not fit neatly into traditional financial infrastructure, lacking direct access to global banking rails and operating 24/7. This is where crypto comes into play, offering AI agents access to programmable, always-on money, instant and global settlement through blockchains, and permissionless access to funds through crypto wallets. Essentially, these components form a financial layer better suited to machine-driven activity, with crypto 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, yield optimization, and trading strategies. Beyond these use cases, AI agents also play a crucial role in driving new investable categories and demand for crypto itself. As AI agents cannot operate on existing infrastructure rails, demand is growing for agent-native wallets, stablecoin payment rails, and data or compute marketplaces. Despite the momentum, there are risks and limitations associated with AI agents, including security concerns around rogue or exploited agents, questions around authorization, liability, and regulatory treatment. For widespread adoption, it is essential to build trust among users, which can be achieved through regulatory clarity from all stakeholders, enabling projects to build with confidence while safeguarding user funds and interests. Over the next twelve months, this technology is expected to continue growing and maturing, with key signals including growth in agent-driven transaction volume, emergence of agent-native wallets and payments protocols, and deeper integration between stablecoins and AI-driven systems. Regulatory clarity will heavily shape the pace and scope of adoption across different industries and fields. In conclusion, AI agents are not a theoretical concept but are already executing transactions in limited environments, with crypto emerging as the financial backend for machine-driven economies. As the trend develops, advisors should track it as a next-wave driver of crypto utility.