Sam Ragsdale, a partner at Andreessen Horowitz’s crypto arm a16z, said stablecoins may be well suited to power payments in the emerging AI agent economy because they are fast and inexpensive to use. In a post on X, Ragsdale argued that traditional card networks carry fixed costs that make very small transactions uneconomical. He gave one example: a 1-cent payment can cost 31 cents to process. That cost structure, he said, does not work for AI agents expected to make thousands of tiny payments each day. Ragsdale, who is also a co-founder of Merit Systems, expanded on the point in a video he shared. He said the friction embedded in traditional financial infrastructure could hold back the growth of an AI-driven microtransaction economy, while blockchain-based stablecoin payment networks offer a possible alternative.
Sam Ragsdale, a partner at a16z, said in a post on X that stablecoins could become the payment rail for the AI agent economy because they are fast and low-cost.
Ragsdale said card payments suffer from high fixed costs. In one example he cited, processing a 1-cent payment can cost 31 cents. He argued that this model is not suitable for AI agents that may need to carry out thousands of tiny payments each day.
Ragsdale is also a co-founder of Merit Systems. In a video he shared, he said the high-friction cost structure of traditional financial infrastructure could slow the scaling of an AI-driven microtransaction economy, while blockchain-based stablecoin payment networks can offer a solution.
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