Crypto’s next currency test may be trust, not tech, especially as AI starts attacking software moats

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Crypto may not become truly important just because the technology gets faster or the fees get cheaper. It may become important if it solves a different problem: how to build trust in a digital economy that is getting flooded with AI-generated noise.

If you have spent any time online recently, you will have noticed it is happening considerably faster than most people planned for.

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One important caveat up front: one side of this argument comes from an opinion piece.

Kirill Avery, founder and CEO of Alien, wrote in Cointelegraph that as deepfakes, bots, and synthetic agents spread across the internet, the scarce thing will no longer be information or creative output, both of which AI can generate at industrial scale for close to zero cost, but authenticity itself. In that framing, crypto’s next real job is not just moving value.

It is helping prove what is real, who is human, and which interactions can actually be trusted. That is an opinion, not a fact.

But it is a really thoughtful one, and it gets more interesting when paired with what institutional investors are starting to say.

What the institutional money is saying

Ravi Tanuku, CEO of KRAKacquisition Corp., a Nasdaq-listed SPAC that raised $345 million in January 2026 with backing from Kraken, Natural Capital, and Tribe Capital, made a similar argument from a very different direction.

The firm is now hunting for acquisition targets in the $2–10 billion range inside the digital asset economy, focusing specifically on stablecoins, DeFi, payments, agentic commerce, and tokenization.

Tanuku’s core thesis is that AI poses a more existential threat to traditional software-as-a-service businesses than it does to crypto.

His argument is fairly direct: SaaS companies built moats around code, workflows, and subscription interfaces. AI can now replicate or replace large parts of those moats at declining cost, turning proprietary software into a commodity much faster than anyone expected.

Crypto infrastructure, by contrast, is harder to replicate through a language model. Settlement finality, programmable ownership records, and cryptographic identity are properties that require a functioning network to exist at all, they are not just features you can copy into a chat interface.

Tanuku described digital assets as the strongest market narrative he sees right now, second only to AI itself.

Why stablecoins and tokenization keep showing up

Put those two threads together and a pattern shows up that helps explain something that otherwise might seem repetitive: stablecoins and tokenization keep appearing in serious strategic conversations even during weaker market periods, including this one.

The reason is not that everyone has suddenly become convinced crypto will take over global payments by Thursday.

It is that these are attempts to build machine-readable, programmable layers for money and ownership, exactly the kind of always-on infrastructure that matters more, not less, in an economy that runs increasing amounts of its logic through automated agents and AI-driven systems.

If AI keeps eroding the value of traditional software businesses, the most durable infrastructure may be the kind that is hardest to fake: settlement rails where the transaction record is the product, provenance systems where ownership cannot be quietly edited, and identity layers that can survive adversarial conditions because they are cryptographically enforced rather than just password-protected.

That does not automatically make crypto bullish in the short term. But it does change the frame, from “better blockchain tech” to “better trust infrastructure for a world where AI makes everything else easier to counterfeit.”

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What retail should take away

For users, the practical takeaway is not a price target. Crypto may not become more important because everyone suddenly decides to pay for coffee with it, that particular future seems to keep arriving slightly later than expected, like a bus running on its own schedule.

It may become more important if AI-heavy digital systems end up needing it as the background layer for verification, settlement, and trusted coordination.

If that happens, the next big crypto test will have less to do with transaction throughput and more to do with whether the industry can build systems that people, and increasingly, machines, actually trust.

Miklos Pasztor
Author: Miklos Pasztor
Crypto market researcher and external contributor at Kriptoworld

Wheel. Steam engine. Bitcoin.

📅 Published: March 30, 2026 • 🕓 Last updated: March 30, 2026
✉️ Contact: [email protected]


Disclosure:This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.

Kriptoworld.com accepts no liability for any errors in the articles or for any financial loss resulting from incorrect information.

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