Cloud Revenues to Top $1 Trillion by 2030 via AI and Digital Assets
A BlackRock report predicts hyperscaler cloud revenues will exceed $1 trillion by 2030, driven by the convergence of AI and digital assets.
The landscape of global computing is on the verge of a massive financial shift. According to a recent report by BlackRock, hyperscaler cloud revenues are projected to surpass the USD 1 trillion mark annually by the year 2030. This explosive growth is being fueled by the skyrocketing demand for the massive computing resources necessary to train and operate advanced artificial intelligence (AI) systems.
The Convergence of AI and Digital Assets
The report highlights a transformative trend: the convergence of AI and blockchain-based digital assets. As computing power becomes a vital economic resource, it is creating a new market for digital assets. In this emerging ecosystem, standardized claims on processing capacity could provide a practical framework for both financing and settlement.
A fascinating dynamic is emerging between these two technologies:
- AI provides what can be described as machine-native intelligence.
- Digital assets provide machine-native money.
This alignment is becoming increasingly critical with the rise of agentic AI—autonomous software systems capable of planning and executing multi-step tasks across external networks with minimal human oversight.
The Rise of Agentic Commerce
As AI agents become more capable and persistent, they will require a way to source, optimize, and pay for their own hardware infrastructure. This creates a need for "agentic commerce," where autonomous systems handle transactions independently.
The report notes that traditional financial mechanisms, such as card channels or automated clearing houses, are not ideally suited for this type of activity. These conventional systems often involve cost structures and onboarding rules that make them inefficient for the continuous, low-value microtransactions that autonomous agents require. Instead, these systems are expected to turn toward:
- Stablecoins for reliable value transfer.
- Specialized protocols (such as x402 and ACP) to support high-frequency, always-on transactions.
A Foundation for Machine-to-Machine Economy
While the potential is vast, the report cautions that we are currently in the early stages of this evolution. At present, the liquidity across compute claims and the transaction volumes driven by AI agents remain modest.
However, as machine autonomy deepens, the integration of digital assets, tokenized real-world assets, and base settlement cryptocurrencies is expected to form the foundational components of a new machine-to-machine financial activity landscape.