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AI

Forget Nvidia: The next big AI trade could be crypto and blockchain

Nvidia won the hardware phase, but the next stage of AI depends on money. Autonomous agents need a native financial layer, and legacy banking won't cut it.

Originally on CoinDesk
AB

Adrian Boysel

Contributor

Jul 22, 2026

4 min read

Photo illustration / STKR News

Everyone is still chasing the Nvidia dragon. It makes sense. If you want to build intelligence, you need silicon. But we are reaching a point where the bottleneck isn't just compute power anymore; it is the infrastructure of exchange. The real money in this next cycle isn't going to be in the chips that think, but in the rails that allow those thoughts to actually do something in the physical and digital economy.

The Problem with AI's Wallet

I have spent a lot of time looking at autonomous agents lately. These aren't just chatbots that give you recipes or fix your code. These are systems designed to execute complex tasks from start to finish. If an AI agent wants to book a flight, hire a contractor, or purchase server space from a decentralized provider, it needs a way to pay. This is where the dream of AI autonomy hits a brick wall made of 1970s banking tech.

Traditional banks aren't built for non-human entities. If you try to open a Chase account for a piece of Python script, you are going to have a bad time. You need a social security number, a physical address, and a human to sign a biometric waiver. Even then, the legacy financial system is slow, burdened by settlement times that feel like an eternity to a machine that operates in milliseconds.

This is why leaders like Jeremy Allaire and Sandy Kaul are looking at blockchain as the necessary financial layer for AI. It is not just about speculation; it is about providing a programmable base layer for machine-to-machine commerce.

Why Settlement Matters for Builders

If you are building an AI startup right now, you have a choice. You can try to plug into the Stripe API and deal with the friction of credit card chargebacks and identity verification, or you can use stablecoins and smart contracts. For a machine, the latter is the natural choice. It is native code. A smart contract doesn't care if the entity calling its functions has a heartbeat. It only cares if the transaction meets the logic requirements and the wallet holds the funds.

We are looking at a shift from human-centric finance to agent-centric finance. In this world, the blockchain acts as the source of truth. It provides an immutable record of what the AI did, who it paid, and whether the service was rendered. For founders, this opens up a massive design space for micro-transactions that would be impossible with traditional fees.

Decentralized Identity and Verification

One of the biggest risks we face as AI scales is the death of trust. How do you know the agent you are interacting with is actually authorized by the company it claims to represent? This is another area where the vertical integration of AI and blockchain makes sense. Cryptographic signatures allow agents to prove their identity and their permissions without a middleman.

Instead of a central database that can be hacked or manipulated, we use public ledgers. This creates a level of transparency that we desperately need as autonomous systems start making decisions that affect our bank accounts and our businesses. If an agent goes rogue, the blockchain provides a clear audit trail that can't be deleted by an disgruntled admin.

Moving Past the Hype

I am usually the first person to roll my eyes when someone says 'Blockchain fixes this.' Most of the time, it doesn't. But in the context of autonomous agents, the synergy is hard to argue with. We are talking about two technologies that are inherently digital, borderless, and operational 24/7. Putting them together is just common sense.

However, we need to be honest about the hurdles. Scaling remains an issue. If millions of AI agents start transacting every second, current Layer 1 networks will crumble under the weight. We need faster, cheaper, and more robust solutions. We also need better bridges between the crypto world and the real-world assets that AI might need to purchase.

  • The compute bottleneck: While Nvidia is the king of training, the execution phase will happen on distributed networks.
  • The money bottleneck: Stablecoins are the only viable currency for a machine that needs instant settlement.
  • The trust bottleneck: Zero-knowledge proofs and on-chain identity will be the only way to verify agent intent.

The Real Takeaway for Founders

The trade isn't just about buying tokens and hoping they go up. The trade is about building the middleware that allows these two giants to talk to each other. If you are a developer, stop thinking about how to make another AI wrapper and start thinking about how to give those agents a financial identity.

The institutions are already moving in. When you have firms like Franklin Templeton acknowledging that blockchain is the infrastructure for the next phase of the AI economy, the window for 'early' is closing. This isn't a pivot away from AI; it is the maturation of it. AI provides the intelligence, but blockchain provides the permissionless rails that allow that intelligence to exert influence on the world.

The era of the 'human-in-the-loop' for every single transaction is ending. If you want to survive as a builder, you need to be thinking about how to facilitate a world where the majority of economic activity is performed by entities that don't have a pulse. It sounds like science fiction, but the plumbing is being laid right now.


Read the original at CoinDesk →

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