Stablecoins

‘AI agents can reason, but they cannot act’: MoonPay builds bridge to money

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MoonPay expands AI agent wallet access as stablecoins hit historic scale.

Posted: February 25, 2026 Avatar

By: Emilio Munoru Journalist Edited By: Renuka Tahelyani MoonPay expands AI crypto wallet access – Are card networks at risk?

Emilio Munoru Journalist Edited By: Renuka Tahelyani Posted: February 25, 2026 Share this article

AI agents and stablecoins have reached a structural milestone in early 2026. MoonPay has recognized that shift and moved before hesitation set in.

Founded in 2019, MoonPay has reached more than 30 million customers across 180 countries. It supported over 500 enterprise clients. Through one integration, it powered on and off ramps, trading, crypto payments, and stablecoin infrastructure.

Therefore, MoonPay Agents did not emerge from a speculative lab. It came from a scaled operator already embedded in global digital asset flows. That context mattered.

MoonPay agents and financialization of autonomous AI

MoonPay, the leader in global crypto payments and stablecoin infrastructure, formalized capital access for programmable systems.

Its software layer enabled non-custodial wallets through MoonPay CLI. Once verified, agents traded, swapped, and moved digital assets programmatically. CEO Ivan Soto-Wright stated,

“AI agents can reason, but they cannot act economically without capital infrastructure.”

That line was blunt. Intelligence without money meant nothing. MoonPay built the bridge between reasoning and execution.

Infrastructure layer powering machine-to-machine payments

The launch aligned with deeper infrastructure shifts.

x402 enabled wallet authenticated HTTP payments using USDC without API keys. Quicknode supported x402 across more than 80 chains. Meanwhile, Coinbase’s Payments MCP recorded a 10,000% spike in agent transactions on Base.

As a result, machine-driven settlement was already accelerating. The rails existed. MoonPay plugged directly into them.

How stablecoins are reshaping settlement in AI era

Stablecoins are rewriting settlement math.

Card networks charged 2% to 3.5% per transaction. Cross-border flows exceeded 4%. Stablecoin transfers are settled within seconds at fractions of a cent. Remittance fees still averaged 6.6%.

Source: X

Stablecoin transaction volume reached $33 trillion in 2025, rising 72% year over year. Supply surpassed $300 billion.

McKinsey & Company, a global consulting firm, estimated real world stablecoin payments approached $390 billion annually. Citi projected supply could reach $1.9 trillion by 2030.

Institutional adoption and expanding role of agentic commerce

Institutional readiness was no longer theoretical.

Fireblocks research showed nearly half of institutions used stablecoins for payments. Over 80% reported infrastructure readiness. Agent tokens expanded rapidly, with 21,000 minted in November 2024 alone.

Capital markets reacted sharply. Visa fell 4.6%, Mastercard dropped 5.7%, and American Express slid 7.2%.

Source: X

According to a thesis published by Bull Theory, AI selecting the cheapest settlement rails could compress legacy margins.

What are execution and regulatory risks in agent economy?

Despite momentum, friction remained real.

Banks resisted yield-bearing stablecoins due to deposit migration concerns. Regulators intensified scrutiny around reserve backing and compliance.

However, incumbents quietly integrated stablecoin settlement infrastructure. They were not surrendering. They were adapting.

Final Summary

MoonPay launched MoonPay Agents, enabling autonomous AI systems to access capital through non-custodial wallets and programmable infrastructure.
The company leveraged its scale of 30 million users and 500+ enterprise clients to integrate AI into real crypto payment rails.

Next: ‘Market knows something’: Meteora’s odds climb to 28% on Polymarket Share

Emilio Munoru

Emilio is a cryptocurrency journalist, with a focus on breaking market news, Bitcoin and altcoin ETF flows, whale activity, liquidity moves, and major exchange listings. His coverage blends technical analysis with macro and on-chain data, helping readers understand how institutional behavior and new market catalysts drive volatility across digital assets. More Articles