Crypto Long & Short: What will the AI agents run on?
Reported by CoinDesk · AI-assisted summary by ChikoCorp AI News Desk

AI-generated summary based on the linked source; not independently verified. This is not investment advice. Verify market-moving details at the original publisher before acting. See our editorial policy, AI content policy, and financial disclaimer.
Summary
Utkarsh Ahuja of Moon Pursuit Capital argues that the emerging economy of autonomous AI agents will require blockchain and digital asset infrastructure to operate efficiently. He suggests that AI agents will need programmable money, stablecoins, smart contracts, and verifiable identity solutions to transact and make financial decisions autonomously. This perspective shifts the investment focus from just AI applications to the financial infrastructure enabling machine-to-machine economic activity.
Why it matters
The source highlights that traditional payment and financial systems are not well suited for millions of autonomous software agents transacting continuously across borders. Blockchain infrastructure’s programmability and stablecoins’ familiar unit of account can meet these needs, potentially enabling a new layer of AI-driven economic activity. This convergence of AI and blockchain infrastructure could reshape capital flows and automation in financial markets.
Key context
The article explains that while AI is often viewed in terms of which companies or models will dominate, the underpinning infrastructure that allows AI agents to transact programmatically is less examined but crucial. Traditional infrastructures are built around human-initiated transactions, making them inefficient for AI-driven interactions. The developments in tokenization, stablecoins, decentralized identity, and programmable assets form the infrastructure layer discussed.
Key numbers and entities
Utkarsh Ahuja (Moon Pursuit Capital) is the primary expert cited. Goldman Sachs reportedly routed about $100 billion in a Treasury fund through crypto infrastructure without tokenization. Bitcoin prices fluctuated between $82,500 and $84,000 recently. The newsletter mentions Cboe Global Markets, S&P Dow Jones Indices, and Vitalik Buterin in related contexts. Backpack’s tokenized-stock share fell to about 2%, while BP’s token price climbed to about $1.35.
What remains unclear
The source does not specify which existing blockchain projects or digital asset platforms will become the dominant infrastructure for AI agents. Details on how identity, provenance, and cybersecurity will be practically implemented in this future AI economy remain vague. The timeline and scale at which this AI-blockchain convergence will impact markets or users are not established.