The rise of 'agentic finance' is transforming the financial landscape, with AI agents moving beyond advisory roles to execute transactions. A recent PwC survey found that 79% of companies are adopting AI agents, reflecting a shift towards machine-driven economies. Initially used for chatbot services and copiloting, AI systems now plan, decide, and act on predefined parameters, including financial transactions, giving birth to 'agentic finance'. This new concept involves AI agents executing financial actions within set rules, such as limits, permissions, and goals.
The 'agentic finance' framework consists of three layers: agentic commerce, agentic payments, and asset management. While AI agents lack direct access to traditional banking infrastructure, crypto provides a suitable alternative with stablecoins, blockchains, and crypto wallets.
Early implementations of AI agents are visible in machine-to-machine payments, autonomous commerce, and crypto-native environments. However, security concerns, regulatory uncertainty, and liability questions pose risks to widespread adoption. As the technology matures, regulatory clarity, growth in agent-driven transactions, and deeper integration between stablecoins and AI systems will shape the future of 'agentic finance'. For advisors, tracking this trend is crucial, as crypto emerges as the financial backbone for machine-driven economies.