The emergence of AI agents has transformed the financial sector, with 79% of companies adopting them in some form. Initially, AI systems were used for advisory roles, but they are now executing financial transactions, marking the beginning of 'agentic finance'.
This new concept involves AI agents performing financial actions within predefined rules, such as limits, permissions, and goals. The agentic finance ecosystem consists of three layers: agentic commerce, agentic payments, and asset management. Crypto plays a vital role in this ecosystem, providing AI agents with access to programmable money, instant settlement, and permissionless access to funds.
Use cases for AI agents include machine-to-machine payments, autonomous commerce, and trading agents. However, there are risks and limitations associated with AI agents, including security concerns and regulatory uncertainty. As the technology continues to evolve, it is essential for advisors to track its development and understand its potential impact on the financial industry.