A recently published BlackRock report argues that artificial intelligence and digital assets, despite having developed along distinct paths, are now converging. The investment firm's position contests the notion that cryptocurrency has been eclipsed by artificial intelligence, with the report asserting that the two technologies are growing more intertwined, with AI systems drawing on both payment infrastructure and computing capacity.
According to the document, AI-driven demand for stablecoins running on public networks like Ethereum could receive a boost. Novel applications in cryptocurrency — including revised transaction frameworks and untapped markets for computational resources — are also highlighted.
Established payment networks such as ACH have long accommodated considerable levels of automated processing. The report noted, however, that onboarding requirements and related factors make such systems poorly suited to very small, continuously active transactions.
In a recent communication, BlackRock highlighted Coinbase's x402 protocol as a noteworthy example of infrastructure built to facilitate automated machine-to-machine transactions. The report additionally referenced emerging frameworks such as Stripe and OpenAI's Agentic Commerce Protocol, Google's Agents Payments Protocol, and Visa's Trusted Agent Protocol.
A number of the most widely used stablecoins run on decentralised public networks, including Ethereum. The firm anticipates that these payment networks stand to gain from rising AI-driven transaction volumes, given that autonomous agents and machine learning models depend on frictionless microtransaction infrastructure.
According to the document, stablecoins hold advantages for handling such transactions, owing to their capacity for programmability and the reduced fees they carry relative to conventional payment infrastructure. The report from BlackRock arrives as attention turns toward AI-driven commerce, a field where automated systems may conduct transactions autonomously with one another.
Delivering such use cases would require continuous, high-availability payment networks, and the report indicates that current infrastructure is ill-equipped to support them. The firm anticipates that the vast processing demands of artificial intelligence may give rise to an entirely new category of digital assets.
Training AI systems calls for vast numbers of graphics processors, while the supporting data-centre infrastructure carries substantial costs. The investment firm anticipates the formation of novel trading markets built around standardised claims on future processing power.
Blockchain-based representation of these agreements could mirror the structure of traditional commodity exchanges, enabling more streamlined distribution and exchange of computational capacity. The findings highlight how rapid expansion in artificial intelligence is placing pressure on existing infrastructure while driving appetite for new financial products.
Distributed ledger systems have the potential to offer the accountability and market fluidity that emerging trading environments may require, according to the report. BlackRock's backing of protocols such as x402 points to growing acceptance of these applications among institutional players, the document indicates.
Obstacles persist, particularly around unclear oversight frameworks and the absence of solutions that can operate at scale. The document outlines an assessment of how collaboration between the two industries could yield mutual benefits.
That same week, NOWPayments published cross-chain disbursement figures spanning TRON, BNB Chain, and Solana, offering measurable insight into how blockchain payment networks are handling a range of transaction demands.
