Unlocking the Potential of Crypto for Advisors: The Rise of AI Agents

The advent of AI agents has transformed the financial landscape, with these autonomous systems executing transactions and forming the foundation of 'agentic finance.' As the primary financial infrastructure for machine-driven economies, crypto is playing a vital role in this emerging ecosystem. In this article, we delve into the world of AI agents, their applications, and the implications for advisors, including the growth of agentic finance, the role of crypto, and the potential risks and future outlook. We also pose questions to leading AI models, Grok, Gemini, and Claude, to gain insights into the present and future of AI payments. The rise of AI agents has been remarkable, with 79% of companies already adopting them in some form, according to a recent PwC survey. Initially, AI systems were used for chatbot services and copiloting roles, but they are now actively planning, deciding, and acting on predefined parameters set by humans, including financial transactions. This has led to the formation of 'agentic finance,' a new paradigm wherein AI agents execute financial actions within predefined rules such as limits, permissions, and goals. Agentic finance can be understood in three 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, where the agent can manage portfolios, handle payments, and dynamically optimize financial strategies based on real-time market trends. While AI agents have the potential to revolutionize the financial space, they don't fit neatly into traditional financial infrastructure. This is where crypto comes into play, offering AI agents access to programmable, always-on money, instant and global settlement, and permissionless access to funds. Stablecoins, blockchains, and crypto wallets form a financial layer that is better suited to machine-driven activity, making crypto 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 widely deployed. Beyond use cases, AI agents are driving new investable categories and demand for crypto itself. As AI agents can't 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, particularly around security, authorization, liability, and regulatory treatment. For widespread adoption, building trust for users is crucial, which comes through regulatory clarity from all involved stakeholders. Over the next twelve months, this technology will continue to grow and mature, with 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. In conclusion, AI agents are not a theoretical concept; they are already executing transactions in limited environments. As the trend develops, crypto is increasingly emerging as the financial backend for machine-driven economies, and advisors should track it as a next-wave driver of crypto utility.