Strategy CEO Phong Le Says Autonomous AI Agents Could Drive Demand

Strategy CEO Phong Le said the expansion of autonomous artificial intelligence agents could create a new source of demand for digital assets as software systems increasingly begin to perform tasks and interact directly with financial infrastructure.

Le made the comments during an interview with WOLF Financial, according to CoinMarketCap. He argued that as autonomous agents begin “running errands and interacting with the financial system,” they will likely require digital assets to support those activities.

AI Agents Move Toward Financial Transactions

The convergence of AI agents and digital assets is becoming an active area of development across the financial technology sector. Recent research has examined how autonomous agents could execute transactions, interact with financial protocols and manage assets without requiring a human to approve every individual step.

The shift is broader than automated trading. Agentic systems are being developed to perform multi-step tasks, interact with external tools and, in some cases, initiate payments or blockchain transactions. That creates new requirements around authorization, identity, payment infrastructure and accountability.

Fidelity Digital Assets has also identified on-chain capital management as a natural application for autonomous agents. Its research describes potential uses spanning portfolio construction, trading, lending and liquidity provision, particularly when these capabilities are combined with tokenized assets.

Digital Assets Could Become Part of Machine-to-Machine Finance

For digital assets, wider use by autonomous software could expand their role beyond human-directed investment and payments. Agents operating continuously may need programmable mechanisms for acquiring services, settling transactions and managing balances across digital financial networks.

That possibility is already being tested in parts of the crypto ecosystem. A July 2026 trading competition, for example, involved five AI agents autonomously trading tokenized stocks on-chain, illustrating how machine-driven systems can interact directly with tokenized financial markets.

The broader challenge will be ensuring that autonomous financial activity operates within clearly defined permissions and risk controls. Research into agentic finance has highlighted trade-offs involving transparency, governance and the concentration of control as software gains greater authority to transact.

Le's comments point to a longer-term question for the digital-asset industry: whether AI agents will become meaningful economic participants and, if so, which assets and settlement networks will ultimately provide the financial infrastructure they use.

Writer: Victoria Hale
Technology & Blockchain Writer

Victoria Hale writes about blockchain technology, digital infrastructure, and the intersection of emerging technologies with finance. Her articles explore how new protocols and systems are shaping the evolving digital economy.

She prioritises clarity and accuracy when explaining technical developments to a general audience.