AI agents are stepping out of the narrow role of a basic chatbot and taking on bigger functions on the internet. Once software starts researching on its own, making purchases, coordinating, and completing tasks with minimal oversight, a new question emerges: how will a “non-human user” pay, verify identity, and operate within the bounds of rules?
It’s this question that opens up an unexpected path for crypto—especially in areas like stablecoins, numberless wallets, and machine-friendly identity systems.
For years, crypto has been struggling to find a “native” role on the internet. Transactions attract attention, speculation brings traffic, but everything still feels incomplete—as if its core value lies in a financial system designed from the ground up for digital life.
AI agents could be the missing piece of that promise.
When Software Becomes a “User”
The concept of an AI agent is sometimes used a bit vaguely, but at its core, it’s software that can take a goal, break it into steps, use tools, collect data, and execute actions with a certain level of autonomy.
This shift changes how the internet operates. If a chatbot only answers questions, then an agent can compare providers, renew services, schedule appointments, manage budgets, send instructions to other systems, and complete the entire process from start to finish.
But once software starts behaving like a user, the question becomes: how will it participate in the economy?
Imagine a company using AI agents to handle day-to-day operations. The system detects rising demand, automatically buys additional computing resources, pays for data services, renews software, and logs the entire process for review.
At that point, the issue is no longer whether the software can “think,” but whether the internet already has a financial system suitable for entities that can act on their own.
Crypto: the Right Infrastructure for a “Machine Economy”
This is where crypto has an opportunity to break away from the speculative “AI token” wave.
Tokens branded as AI but lacking clear use cases are not the solution. AI agents need wallets, payment systems, identity, and transparent operating rules. They need the ability to store value, spend within limits, verify representation, and leave an auditable trail.
Traditional financial systems can cover part of this, but they were designed around humans and businesses—bank accounts, payment cards, and familiar accountability rules.
AI agents, meanwhile, need a different architecture: executing many small transactions, interacting across multiple services, complying with a predefined budget, and operating within tightly constrained authority—something that requires a highly programmable system.
Crypto has built these components over many years.
A crypto wallet is the clearest example. Not only can it store assets, but a wallet can also integrate spending limits, lists of approved counterparties, approval mechanisms, and delegated access permissions.
This makes it possible to create AI agents with limited permissions: only paying approved vendors, not exceeding the budget, and operating only within a specific task scope.
Digital Identity: the New Bottleneck of the AI Economy
Identity will become a key factor as AI agents spread. Platforms will need to answer basic questions: what is this agent, who authorized it, and what is it allowed to do?
a16z calls this trend “Know Your Agent,” arguing that the bottleneck in the AI economy is shifting from intelligence to identity. Based on their estimates, in finance, non-human identities already exceed the actual headcount of personnel by a ratio of 96:1.
Even so, crypto identity systems are still not fully complete. But structurally, they fit the problem: cryptographic certificates and mobile attestations allow software to prove its origin, authority, and access rights in a way that other systems can verify.
Stablecoin: the Most Important Missing Piece
Payment is the third factor—and possibly the most accessible market piece.
If AI agents start carrying out economic activities, they need a “native” way to move money over the internet.
Stablecoins stand out more than most other crypto applications. This is digital asset value pegged to the USD, tradable globally 24/7, and programmable in a way that fits the activities directed by software. Even the BIS notes that stablecoins are increasingly attractive in cross-border payments, while still warning about policy risks.
Why Crypto Benefits More Than “AI Coin”
This trend has pushed payment giants to go deeper into crypto.
Visa emphasizes that transactions controlled by agents will introduce new complexity and risk. Stripe has launched a product centered on stablecoins and “agentic commerce.” Mastercard has also rolled out a crypto partner program focused on programmability and real-world applications.
Meanwhile, data from the OECD shows that the share of businesses using AI rose from 8.7% in 2023 to 20.2% in 2025—a clearly upward growth trend, even if not a sudden breakout.
From this perspective, crypto’s biggest opportunity in AI is actually “simple”: provide stablecoin infrastructure, wallets, identity, and auditing systems for economic activities initiated by software.
That’s also why many AI tokens struggle to maintain value. A narrative can attract attention, but durable value comes from infrastructure layers used in practice—like digital USD, machine wallets, and verifiable credentials.
Bitcoin may still benefit indirectly from the expansion of digital assets and internet finance. But for the need to pay for software services, data, or cloud, a clearly programmable unit of stable value fits better.
Existing Challenges
Trust, security, fraud, and legal accountability cannot be solved instantly. Businesses need tighter monitoring, platforms need stronger verification, and regulators need clearer accountability mechanisms.
However, the more autonomy you give to software, the greater the need for systems that represent identity, authority, budgets, and verification in digital form.
Crypto has built these pieces over many years—only there hasn’t been a clear destination yet.
AI agents might be the answer.
Conclusion
For a long time, crypto’s biggest problem is that users don’t yet see a reason to need a separate financial system on the internet.
The answer could come from a different angle: the ideal “user” of programmable money is, in fact, software. The strongest use case for digital identity may come from non-human entities.
And crypto’s most compelling role may appear when AI agents need to shop, coordinate, and trade on the internet on their own.
If that happens, crypto’s search for product-market fit could end up somewhere few expect: becoming the financial layer for software agents capable of acting autonomously.
