The emergence of AI agents has led to the development of 'agentic finance,' where machines execute financial transactions, making crypto the backbone of this new economy. Recently, a PwC survey revealed that 79% of over 300 companies are adopting AI agents, marking a significant shift from advisory to execution roles.
Initially used for chatbot services, AI systems are now planning, deciding, and acting on predefined parameters, including financial transactions, giving rise to 'agentic finance.' This concept involves AI agents executing financial actions within set rules, such as limits, permissions, and goals. Agentic finance can be understood in three layers: agentic commerce, agentic payments, and asset management. Theoretically, AI agents have a use case in finance, but they don't fit into traditional infrastructure. Crypto, however, offers a solution, providing programmable money, instant settlement, and permissionless access to funds.
Early implementations of AI agents are visible in machine-to-machine payments, autonomous commerce, and crypto-native environments. Beyond use cases, AI agents are driving new investable categories and demand for crypto.
Coinbase's x402 open payments protocol is an example of this shift. Despite the momentum, there are risks and limitations, primarily security concerns around rogue agents. Regulatory clarity is crucial for building trust and widespread adoption. Over the next twelve months, growth in agent-driven transaction volume, emergence of agent-native wallets, and deeper integration between stablecoins and AI-driven systems will be key signals.
In conclusion, AI agents are already executing transactions, and crypto is emerging as the financial backend for machine-driven economies. Advisors should track this trend as a driver of crypto utility.