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The idea of an economy where AI pays for access to digital services is taking shape. Autonomous AI agents capable of purchasing data, APIs or computing resources already exist, supported by blockchain and micropayments. However, the actual numbers fall far short of the initial enthusiasm. Analysis shared by Andreessen Horowitz reveals that activity remains very limited, despite much higher estimates. Between the volumes adjusted and the infrastructures being built, the emergence of a machine-to-machine economy appears to be still in its early stages.
In short
- Recent analysis shows that payments made by AI agents are much lower than some initial estimates.
- The corrected data suggests that the real transaction volume is around $1.6 million, far from the $24 million originally mentioned.
- These discrepancies can be explained mainly by the difficulty of measuring the still developing industry and the presence of artificial transactions.
- Despite these modest volumes, the first uses are already appearing, especially to pay for technical services such as scraping tools, APIs or image generators.
AI agent payouts much lower than expected
The first numbers on the economy of artificial intelligence agents attracted attention after the release of an estimate mentioning $24 million in payments in 30 days. However, this estimate, relayed by Bloomberg, was heavily revised after analysis.
Noah Levine, a partner at Andreessen Horowitz, explains that the data from Allium Labs shows a very different reality. It emphasizes that “real AI agent payouts close to $1.6 million”. A survey of analysts shows that high volumes would reach about $3 million before artificial transactions are corrected.
The adjustments made by the researchers make it possible to better understand the difference between initial estimates and actual market activity:
- The original estimate assumed: $24 million in monthly payments;
- Blockchain data observed: about $3 million;
- Adjusted volume after removing wash trading: about $1.6 million.
These corrections illustrate the difficulty of analyzing an emerging sector. Transactions carried out by autonomous agents remain rare and methods to enable accurate identification are still under development. The available data suggests that the economy of automated AI payments already exists, but it is still in its very early stages.
The infrastructure of automated payments is starting to take shape
Despite these limited volumes, early concrete uses are already emerging in the technology ecosystem. Payments made by AI agents mainly relate to technical services used by developers. According to the data mentioned by Levine, these transactions are mainly used to pay for tools such as Firecrawl for web scraping, Browserbase for performing a browser session or Freepik for image generation. These interactions illustrate an emerging model where automated programs purchase digital resources on demand.
This dynamic also applies to new payment infrastructures adapted to machine-to-machine interactions. Developed primarily with the support of Coinbase, the x402 standard aims to enable software agents to automatically pay for access to online services. Several large technology companies are already interested in these mechanisms. Companies such as Stripe, Cloudflare, Vercel or Google are experimenting with or integrating tools that allow autonomous programs to make payments for the consumption of APIs or digital resources.
Automated machine-to-machine payments, still modest today, give a glimpse of the market in its gestation period. Infrastructure is being set up, uses are emerging and the first streams are emerging. While volumes remain limited, the momentum is set in motion: AI agents are revolutionizing the crypto world and paving the way for an autonomous economy among software.
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A graduate of Sciences Po Toulouse and holder of the blockchain consultant certification issued by Alyra, I joined the Cointribune adventure in 2019. Convinced of the potential of blockchain to transform many sectors of the economy, I committed myself to raising awareness and informing the general public about this ever-evolving ecosystem. My goal is to enable everyone to better understand blockchain and take advantage of the opportunities it offers. I strive every day to provide an objective analysis of current events, decipher market trends, convey the latest technological innovations, and put into perspective the economic and social issues of this ongoing revolution.
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