“We’re probably going to be talking more and more about ‘follow the agents,’” Wood said during a panel at Robinhood’s Summit in Houston on Wednesday. She was referring to AI agents, software that can carry out tasks on a person’s behalf rather than simply answering a question or generating text
Wood's comment was brief, coming near the end of a wider discussion about AI, private markets and technology investing. But it points to a question that is becoming more important as companies race to build AI agents: What happens when AI stops simply giving people answers and starts spending their money?
Developers have long helped show which technologies are gaining momentum because engineers tend to gravitate toward tools they find useful. If millions of AI agents begin making their own choices about which software, services and networks to use, their activity could offer another way to see where demand is going
But those agents will also need a way to pay
In a post last month, Joseph Chalom, co-CEO of SharpLink and the former head of digital assets at BlackRock, argued that the financial system used by AI agents should not end up controlled by a small number of banks or technology companies
“A world full of intelligent agents means nothing if a handful of companies decide where your money can go,” Chalom wrote in the final installment of a three-part series on agentic finance
The issue, in Chalom's view, isn't simply whether an AI agent can spend money. It's how much power people give that agent and who controls the financial system behind it. A person might authorize an agent to spend up to $500 booking a hotel, for example, without giving it unlimited access to a bank account. The user should also be able to cancel that authority and see a record of what the agent did
Chalom also argued that people should be able to move their agents between financial providers rather than becoming locked into one company's system. An agent should be able to carry its identity, financial information and permissions to another provider in much the same way a person can take a phone number from one carrier to another
Chalom said open blockchains such as Ethereum ETH$2,505.24 could provide a common financial network that different agents, apps and companies can use. Instead of every AI company building its own closed payment system, agents could move money across a shared network without needing one technology company or bank to sit in the middle of every transaction
That also gives Wood's idea of “following the agents” a financial dimension. If agents begin carrying out more tasks on their own, investors could watch not only which AI models and software they choose, but also how they pay for things and which financial networks they use
BlackRock made a similar connection in a September paper examining the overlap between AI and digital assets. The asset manager argued that AI agents could create new demand for payment systems built for machines. An agent might need to pay for an API call, buy data from another service or rent computing power, all without waiting for a person to approve each transaction
Stablecoins and blockchains could be one way to handle those payments, BlackRock said
Stablecoins can move around the clock, while blockchain-based payment protocols can let software send small payments directly to other software. Coinbase's (COIN) x402, for example, is designed to let machines pay for online services such as data or API access
There are already signs of agents showing up in other parts of crypto. Coinbase CEO Brian Armstrong said on X that “Grok is the leading client for agentic traders on Coinbase currently,” though he did not provide figures or further details on the activity
Crypto won't have that market to itself. Stripe, Visa, Google and OpenAI are among the companies developing ways for agents to make purchases, and BlackRock said traditional payment systems will remain important
That competition could make Wood's advice to “follow the agents” especially relevant for crypto investors. If AI agents become major economic actors, watching where they transact could offer a new way to measure whether stablecoins and blockchains are gaining real-world use or whether most agent activity stays on traditional payment networks
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