Ask ten crypto veterans about AI and you will hear completely different stories. One is that bots are already making markets noisier, spammier, and more error‑prone.
The other is that autonomous agents are about to become the next major category of on‑chain users. Right now, both stories can be true at the same time.
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That tension showed up clearly this week, on the XRP Ledger, and in a wave of industry layoffs being blamed on the same technology being hyped as the future.
XRP’s strange week
On the XRP Ledger, a dUNL validator known as Vet flagged unusual activity over two consecutive days that did not look like normal traffic.
One cluster of just four transactions burned more than 2,000 dollars in fees, a sharp and unexplained spike for a network where fee levels are typically modest.
Vet’s working theory, shared publicly, was that “vibe coding” is the culprit: developers and hobbyists experimenting with AI tools and writing automated scripts that hit public infrastructure or spam the network with complex queries, often without ever being properly tested.
No one has definitively confirmed that AI bots caused this particular burst of activity, and the XRPL team has not issued a formal post‑mortem.
The point is the category of risk: not a sophisticated hacker, but sloppy, untested automation moving at machine speed, burning real fees, and generating zero meaningful value in return.
Agentic commerce is a very different idea
The bullish version of AI in crypto is nothing like spam scripts.
It imagines autonomous software agents that hold wallets, pay for services, buy compute, negotiate with each other, and settle transactions on‑chain without a human clicking anything.
Binance CEO Richard Teng has publicly argued that “crypto is the currency for AI,” and Circle CEO Jeremy Allaire envisions AI agents handling contracts and micropayments at scale on programmable rails that traditional banking was simply never built to support.
McKinsey projects that agent‑driven commerce could reach 3–5 trillion dollars globally by 2030, and current estimates put live on‑chain agent volumes at around 50 million dollars across roughly 40,000 active agents. Still tiny relative to the vision, but definitely growing.
Crypto infrastructure is a natural candidate for that kind of activity precisely because it offers instant settlement, borderless wallets, programmable logic, and no business‑hours constraints.
The XRP spam problem and the agentic commerce vision are not really in conflict, if we think about it, they are just two ends of the same spectrum, separated by testing, design, and intentionality.
Why crypto firms are cutting jobs and calling it AI
Now add the labor angle. Several crypto firms have announced significant headcount reductions in just the past two weeks, citing AI as part of the explanation alongside weak market conditions.
Crypto.com cut around 12% of its workforce with CEO Kris Marszalek framing the move as an enterprise‑wide AI integration, arguing that companies that fail to adopt AI at that level will “immediately fail.”
Algorand cut 25% of staff, Block reduced headcount by 40% not so long ago, and other smaller firms made similar announcements within the same window.
Is AI bad for crypto?
For everyday users, the practical lesson is not that AI is either good or bad for crypto.
The more useful observation is that more bots, scripts, and automated agents are going to be operating around your wallets, your exchanges, and your payment flows.
And many of them will still be immature, badly tested, or deployed under cost and time pressure.
Automation and reliability are not the same thing. If an AI agent handles your money, your trades, or your transactions, it is only as safe as the rules, testing, and human oversight that the developers behind it actually built in.
The XRP Ledger’s strange week signals that in crypto as elsewhere, “it uses AI” is just a description of a tool, not a guarantee of quality.
Cryptocurrency and Web3 expert, founder of Kriptoworld
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With years of experience covering the blockchain space, András delivers insightful reporting on DeFi, tokenization, altcoins, and crypto regulations shaping the digital economy.
📅 Published: March 24, 2026 • 🕓 Last updated: March 24, 2026
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