The recent surge in AI agents has given rise to a new paradigm in finance, where machines are moving beyond advisory roles to execute transactions. This shift has led to the emergence of 'agentic finance,' a concept that refers to the use of AI agents to perform financial actions within predefined rules. According to a recent PwC survey, 79% of companies are already adopting AI agents in some form, reflecting a broader shift towards machine-driven economies.
In this context, crypto is increasingly becoming the financial backbone for autonomous systems, offering a programmable, always-on, and permissionless infrastructure for machine-to-machine transactions. Early implementations of AI agents are already visible, with use cases ranging from machine-to-machine payments and autonomous commerce to portfolio management and yield optimization. However, despite the momentum, there are risks and limitations associated with AI agents, including security concerns, regulatory uncertainty, and the need for standardized agent identity and liability rules.
As the technology continues to grow and mature, it is essential for advisors to track its development and understand its implications for the future of crypto and finance.