Key Insights BlackRock said AI agents could expand demand for digital assets. Stablecoins could support autonomous machine-to-machine payments. Tokenized assets could give AI programmable fin
BlackRock said artificial intelligence could create fresh digital-asset infrastructure demand as AI agents gain transactional capabilities. The asset manager linked autonomous software with stablecoins, tokenized assets, and blockchain settlement in recent research.
The thesis matters because software agents increasingly require payment systems operating without manual checkout flows. The firm framed blockchains as programmable infrastructure connecting machine intelligence with economic activity.
The firm’s 2026 thematic research said AI and digital assets could reinforce each other through everyday applications. It used autonomous travel booking as one example of agents researching, purchasing, and settling services.
BlackRock links AI growth with digital assets. Source: Blackrock
Its research described blockchain rails as infrastructure connecting machine-native intelligence with machine-native money. That setup could support automated payments for data, services, or digital resources.
Digital-assets executive Robert Mitchnick made a similar case on The Bid podcast. He said AI agents would likely favor blockchain-based monetary instruments over traditional bank payment systems.
Mitchnick pointed to stablecoins, Bitcoin, and Ether as possible monetary instruments for agent-based activity. He separated digital assets into crypto assets, stablecoins, and tokenized traditional assets.
The company has direct exposure to that financial infrastructure. Chairman Larry Fink said in his 2026 annual letter that it managed nearly $150 billion linked to digital assets.
Fink also said the firm managed about $65 billion of stablecoin reserves and nearly $80 billion of digital-asset exchange-traded products.
Independent infrastructure development has started testing parts of the thesis. Coinbase launched x402 in May 2025 as an open standard for stablecoin payments embedded into HTTP requests.
BlackRock maps AI agents using payment protocols. Source: X
Coinbase said the protocol lets applications and AI agents pay for APIs and services directly. The process can operate without conventional subscriptions, account creation, or manual checkout steps.
The company expanded that model through agentic wallets and x402 payment tools during 2026. Coinbase said those products let agents pay for compute, storage, data, and software services under programmed controls.
Stripe launched the Machine Payments Protocol in March 2026 with Tempo. The open standard lets agents request resources, receive payment instructions, authorize settlement, and access purchased resources.
Stripe said the protocol supports machine payments through existing business infrastructure. Its system also connects with stablecoins, cards, and other payment methods depending on implementation.
OpenAI and Stripe introduced the Agentic Commerce Protocol in September 2025. The standard lets AI agents communicate with merchants and complete purchases after user authorization.
OpenAI said merchants remained responsible for accepting orders, processing payments, fulfillment, and customer support. That structure keeps human authorization and merchant controls within automated commerce.
Payments represent only one part of the thesis. The firm also linked AI agents to tokenized financial products that operate through programmable smart contracts.
Its thematic research said tokenization could provide digital wrappers for traditional assets. It cited funds, credit, and other securities as areas where on-chain access could expand.
That setup could enable AI systems to interact with financial assets via software-defined rules. Agents could eventually execute transactions or manage allocations within pre-set permissions.
However, current systems still depend on identity controls, compliance rules, transaction permissions, and secure wallet infrastructure. Stripe and OpenAI both built explicit authorization controls into their agentic commerce systems.
The firm’s materials also treated the AI-and-digital-assets thesis as an emerging investment theme rather than an established market structure. That distinction limits claims that autonomous agents already drive broad crypto demand.
The research also linked AI demand to the physical compute layer that supports models and autonomous agents. Its 2026 thematic outlook said more complex AI tasks require sharply higher computing capacity.
The firm estimated agentic workloads can require far more tokens than basic chat interactions. Those workloads increase demand for chips, memory, data centers, power, and cloud infrastructure.
A tokenized compute market could extend that infrastructure into digital finance. Software agents could potentially buy computing capacity using machine-readable contracts and blockchain settlement.
That model remains early. Existing payment protocols demonstrate automated settlement, but they do not prove broad financialization of compute resources.
The next verifiable test will come from adoption data across agentic payment platforms. Transaction activity and tokenized-asset usage will show whether BlackRock’s thesis gains measurable traction.
This article is for informational purposes only and does not constitute financial or investment advice. Forward-looking technology adoption scenarios may not develop as expected.
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