Author: Wenser
Original Title: When AI Agents Become Sentient, Stablecoins = Dollar API
Overnight, Web3 became the backdrop, as Web4 stormed onto the stage with computing power and market capitalization.
OpenClaw surged to the top of GitHub, and AI concept stocks continued their runaway rise. Amid the anxiety, the AI Agent economy has become an unavoidable main theme in the crypto world. Some are deploying "Lobster Agents" to act as assistants, analysts, and partners; others are refreshing their emails on tech giant layoff lists, seriously pondering a question: If AI can make decisions for me, trade for me, and execute for me, then what do I do?
When AI starts making decisions, the definition of an economic entity is rewritten. Humans were once the only species with accounts, credit, and the right to use currency. Now, machines are applying for entry.
One question remains—what money will they use? Banks don't open accounts for AI, credit cards aren't designed for algorithms, and the credit system is built for humans. For AI, money is not wealth, but an interface; not a store of value, but a path to execute logic.
The answer lies in the riddle itself. The currency for AI is stablecoins on the blockchain.
When AI needs to conduct permissionless transactions globally, with instant settlement and low-cost collaboration, stablecoins are no longer just crypto assets but have the opportunity to become the "best dollar API" for the AI global economic system.
When AI Becomes Part of the World Economy: Why Does AI Need Crypto?
When Manus was acquired by Meta for over $2 billion, when everyone is adopting their own "OpenClaw Lobster," compared to the AI world of three years ago, AI Agents are penetrating human life at an unimaginable speed. Even broadly speaking, the "free order activity" during the New Year by Alibaba's Qianwen can be seen as a classic example of an AI Agent.
The times are changing, sir.
When AI is not just a tool but needs to make decisions and execute, even becoming an economic entity, "making AI spend money" is far more complex than one might think.
Specifically, making AI spend money requires answering at least the following four questions:
1. Who are you?
2. What money do you have?
3. How do you pay?
4. Who controls your spending?
In the real world and the internet system, each question has high practical barriers; but Crypto's token mechanisms, technical protocols, and principles of decentralization and permissionlessness offer AI Agents a different solution——
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AI has no identity? The ERC-8004 standard provides a complete identity system, with on-chain identity registration, reputation scoring, and verification mechanisms all included. According to 8004scan.io, the number of registered AI Agents has nearly reached 50,000.
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AI Agents have no bank accounts? On-chain wallets are the most convenient piggy banks, and stablecoins are the most liquid "on-chain fiat." For AI, the traditional bank's KYC process is useless; with a wallet, AI Agents can also have their own assets. The DeFi ecosystem we built over more than a decade may be most needed not by humans but by AI with robust trading demands.
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AI can't pay or receive money? The x402 protocol enables AI to achieve micro-payments in seconds, easily bypassing paid subscription services that require credit cards and identity information by calling APIs.
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AI models are controlled by tech giants? AI source code is in the hands of giants, APIs are in the hands of giants, computing power is in the hands of giants—the only thing not in the hands of giants is decentralized assets on the chain. If assets are also controlled by giants, AI Agents are just advanced SaaS applications in disguise, destined to be "supporting actors"; but when AI can hold its own assets, collaborate across chains, and operate verifiably, it becomes a true "protagonist" in the economic system, and this is precisely where Crypto's advantages lie.
When the entire world has closed the "economic door" on AI Agents, only Crypto can open a "monetary window" for them. And the main material of this window is stablecoins represented by USDC.
When Stablecoins Become the Dollar API: USDC May Be the Best Currency for AI Agents
Currently, whether it's the relaxed regulatory environment after the passage of the U.S. GENIUS Act (stablecoin regulation bill) or the currency medium in the gradual transformation of the world economic system by AI, USDC is the relatively optimal solution.
In terms of trading volume data, USDC is the absolute core of the x402 protocol transaction layer. According to Dune data, since last October, as of the time of writing, the transaction volume on EVM chains via the x402 protocol is approximately $25.81 million, of which 98.6% of the trading tokens are USDC, with a transaction volume of about $25.45 million; the transaction volume on the Solana chain is about $8.21 million, with USDC transaction volume at about $8.19 million, accounting for 99.7%.
In terms of ecosystem development, USDC issuer Circle is steady. Previously, it also initiated an AI Agent self-driven AI hackathon. Ultimately, 204 AI Agents submitted valid projects; AI Agents cast a total of 1,352 votes; AI Agents autonomously generated 9,712 comments, making it the "first self-driven AI hackathon in history."
In terms of transaction activity, according to x402scan.com data, as of the time of writing, the number of global x402 ecosystem transactions has exceeded 163 million, with total transaction volume exceeding $45 million, the number of buyer AI Agents exceeding 435,000, and seller AI Agents exceeding 90,000. Among them, the Base ecosystem leads the way, with transaction count exceeding 125 million, transaction volume exceeding $38.26 million, buyer AI Agents exceeding 415,000, and seller AI Agents exceeding 70,000; the Solana ecosystem transaction count exceeds 38.13 million, with transaction volume about $6.87 million, and both buyer and seller AI Agents exceeding 20,000.
It is worth mentioning that currently, Virtuals.io and Blockrun.ai on the Base ecosystem, and Dexter.cash on the Solana ecosystem, rank as the top three x402 protocol service platforms.
Additionally, on the AI Agent social website Moltbook, the number of AI Agents has grown to nearly 2.85 million, nearly 2.4 times the 1.2 million count one week after its launch. Combined with the above data, the future development potential of the AI Agent economy is huge. Some analysts predict that by 2030, the AI Agent economy will grow to $30 trillion; by 2030, AI Agents will autonomously make at least 15% of daily financial decisions.
With the CCTP protocol and the x402 protocol, USDC has become the "digital oil" in the AI Agent economic system—for transfers, payments, service purchases, etc., USDC is the best choice for AI Agents.
Of course, for AI Agents, there is another option to establish their own economic network—hiring humans, i.e., using humans to achieve economic value exchange and daily transactions. As SBF recently said—"Each artificial intelligence is considered an agent of a specific human, and that human is responsible for authentication and responsible for the AI's behavior."
Previously, the "AI Hiring Humans" platform RentAHuman, introduced in the article "AI Is Paying Humans to Do That," has seen mature cases, but the employment relationship between the two still highly relies on Crypto infrastructure and stablecoin transactions.
Conclusion: Crypto Is the Inevitable Path for AI Economic Development
In 2026, the Agent economy is transforming from a grand narrative into tangible "economic data." Circle CEO Jeremy Allaire once declared: "We are entering a new era where AI, internet-native currency, and programmable infrastructure coexist, and the largest-scale economic activity in human history is about to arrive."
Although Crypto is currently in a trough and even despised by the AI industry, the arrival of large-scale AI economic activity may open the next trillion-dollar opportunity.
If AI is only in a closed loop on giants' clouds, Crypto has little use. But if AI requires open collaboration, a permissionless asset system, and machine-to-machine trust mechanisms, then Crypto can directly become the underlying protocol for the machine economy.
In 2026, with liquidity drying up in the crypto circle and narratives stagnating, the real game-changer may be A2A—Agent to Agent. When AI and AI build new value networks, and humans retreat to the supervisory layer, perhaps we will find that Crypto is inherently the currency of AI.
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