AI Agent Economy Puts Blockchain and Stablecoins in the Spotlight
Moon Pursuit Capital sees the biggest opportunities in the infrastructure underneath: blockchain, stablecoins, wallets, and smart contracts for autonomous AI agents.
Key Takeaways
- Moon Pursuit Capital says autonomous AI agents will soon need blockchain and digital assets to move value, make payments, and settle transactions.
- Ahuja sees blockchain, crypto wallets, smart contracts, and stablecoins as suitable infrastructure for small cross-border payments by AI agents.
- According to the analysis, identity, provenance, tokenization, compliance, custody, and settlement are becoming more important for the link between AI and crypto.
According to Moon Pursuit Capital, the next big question around AI is not which model wins, but which financial infrastructure autonomous AI agents will need next. In a new analysis, fund manager Utkarsh Ahuja says blockchain and digital assets could play a logical role there, because software will not just process data but also need to move value, make payments, and settle transactions.
Blockchain as a Payment Rail
Ahuja paints a picture of a world where AI agents do more than generate text or analyze data. They also buy computing power, pay for data, carry out transactions, and make financial decisions within limits set by humans. In his view, traditional payment infrastructure was built mainly for people and institutions, not for millions of autonomous software agents making constant small cross-border payments.
That is why he sees blockchain as a suitable foundation. An AI agent can work through a crypto wallet, execute smart contracts, and send a stablecoin without the same amount of manual steps as in the classic financial system. He says stablecoins are especially important because they connect blockchain programmability with a familiar unit of account.
Big players are already seeing that direction take shape too: machine-native money would be needed for autonomous payments between AI systems, according to BlackRock.
Identity and Tokenization
The analysis goes beyond payments alone. Ahuja points to identity and provenance as major themes, because markets will need to determine who or what is behind a transaction and what exactly an agent is authorized to do. Provenance also becomes more important when AI systems use data, create intellectual property, or carry out transactions.
He also points to tokenization as a development that already shows how traditional assets can move onto blockchain rails. In that context, he also notes that AI is increasingly automating financial decisions. According to Ahuja, those two trends are still often viewed separately, but their overlap could become important for how value moves between traditional and digital markets.
Why This Matters for Europe
For European crypto followers, this matters mainly because the discussion is shifting from loose AI narratives to concrete infrastructure. If AI agents really start moving value on their own, topics like compliance, custody, payments, and settlement will move closer together. That lines up with recent moves from companies like B.AI, BNB Chain, and tZERO, which have already launched products around payments, wallets, and agent-like use cases.
Ahuja does warn that not every project involving AI and crypto automatically becomes more valuable. In his view, investors should focus on infrastructure that solves a real problem, such as payments, settlement, identity, cybersecurity, and custody. The core of his argument is that the biggest opportunities may not only be in AI apps, but also in the rails underneath them.
