AI Agents Performs 138 Million Crypto Payments in a Year 

Close-up of hand holding cryptocurrency coins with trading chart in background.

A surge in automated cryptocurrency transactions pins the spotlight on how artificial intelligence (AI) could reshape digital payments, although questions remain about genuine adoption. 

Artificial intelligence is expanding beyond answering questions and generating content. AI agents are increasingly capable of performing tasks independently, including purchasing digital services and making cryptocurrency payments. 

A new report from blockchain analytics firm Chainalysis highlights this growing trend, revealing that AI agents have made more than 138 million crypto payments through a specialized payment protocol. 

According to a report published by Decrypt on October 14, 2026 Artificial Intelligence – Decrypt, transactions through Coinbase-incubated x402 on Base, Coinbase’s layer-2 blockchain network, increased from approximately 1,500 in mid-2025 to more than 138 million by the third quarter of 2026. 

Small Payments Drive the Growth 

Despite the impressive transaction count, most payments involved extremely small amounts. More than 87% of recorded transactions ranged from one hundredth of a cent to 10 cents. 

These micropayments allow AI agents to purchase services whenever needed without requiring human approval for every individual transaction. Examples include accessing live web data, purchasing computing resources, obtaining information from AI models, and using automated coding or security tools. 

Traditional payment systems often impose processing fees that make tiny transactions expensive or impractical. Cryptocurrency networks, particularly those designed for fast and relatively inexpensive transfers, offer an alternative for these small digital purchases. 

Stablecoins such as USDC can also help agents make payments using digital assets designed to maintain a relatively stable value against the US dollar. 

The United States Leads AI-Related Spending 

The Chainalysis findings also revealed a geographic concentration in AI-related cryptocurrency payments. US-linked wallets accounted for 88.1% of geographically identifiable payments for AI model inference, while China-linked wallets represented approximately 0.1% 

However, these figures should be interpreted carefully. They reflect identifiable activity tracked through the x402 protocol rather than the entire global AI payment market. 

The growing ecosystem has attracted interest from established financial and technology companies. Visa, Mastercard, Stripe, Coinbase, and Google have all pursued developments related to payment infrastructure for AI agents, signaling broader industry interest in automated commerce. 

Questions Remain About Genuine Adoption 

Although transaction growth appears significant, the numbers do not necessarily represent millions of independent AI agents conducting genuine business transactions. 

Previous research from blockchain analytics firm TRM has raised concerns that some activity across automated payment systems could involve scripts, repetitive transactions, or self-dealing rather than truly independent AI agents. 

The distinction is important as transaction volume alone cannot establish how much real economic value the technology creates. Businesses must also consider security, spending limits, fraud prevention, and accountability before allowing autonomous software to control financial resources.  

The Future of AI and Cryptocurrency 
 
The rapid expansion of automated payments suggests that cryptocurrencies could become important infrastructure for machine-to-machine commerce. 

With AI agents becoming more capable, they may increasingly need to purchase information, computing power, and digital services around the clock. 

However, sustainable growth will depend on genuine demand, reliable infrastructure, and clear safeguards. For now, the 138 million payment milestone highlights an emerging connection between artificial intelligence and cryptocurrency. 

Whether it develops into a major economic sector will depend on whether automated transactions translate into meaningful real-world activity. 
 

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