That shift is already starting. Robinhood launched AI-powered investing instruments in Might that permit brokers commerce shares and make purchases for customers. CEO Vlad Tenev has stated AI brokers will ultimately rival the capabilities of human merchants, whereas OpenAI and Anthropic are racing to construct more and more autonomous techniques that may navigate software program and full complicated duties on their very own.
For Kaul, these brokers introduce an issue that at this time’s cost techniques weren’t constructed to unravel.
Many transactions between AI brokers may very well be value solely fractions of a cent, equivalent to paying for an API name, a second of computing energy or entry to a dataset. Conventional cost networks turn into costly when charges price greater than the transaction itself.
That is the place Kaul believes blockchains are available in.
She argued public blockchain networks are higher suited to machine-to-machine funds as a result of they provide programmable transactions, cryptographic id and near-instant settlement. As a substitute of counting on banks or card networks, AI brokers may maintain digital belongings and pay each other immediately over blockchain rails.
If that occurs at scale, demand for blockchain networks may develop alongside AI adoption.
Since brokers would wish native cryptocurrencies to pay community charges, Kaul argued rising transaction volumes may improve demand for these tokens whereas producing extra income for developer incentives, community safety and decentralized purposes.
