BlackRock flags AI as catalyst for digital asset demand
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- BlackRock Inc released a landmark white paper mapping the convergence of artificial intelligence and digital assets.
- Stablecoins recorded over $11 trillion in adjusted annual volume while cloud sector revenue targets $1.1 trillion by 2030.
- Autonomous agentic AI models are set to drive high-frequency, sub-cent machine-to-machine payment demand on blockchain rails.
BlackRock Inc (NYSE:BLK) has released a white paper detailing how artificial intelligence could drive demand for digital asset infrastructure.
The thesis connects machine-native intelligence with machine-native money across decentralised financial networks.
"AI represents machine-native intelligence, while digital assets represent machine-native money," according to BlackRock Inc.
Stablecoins recorded $11 trillion in adjusted transactional volume as autonomous software models expanded rapidly.
"Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy," according to BlackRock Inc.
Technical protocols including the Agentic Commerce Protocol now enable autonomous AI agents to execute machine-to-machine transfers.
Major cloud provider revenues are projected to reach $1.1 trillion by 2030, fueling real-time processing demand.
Following the release, BlackRock shares were down 2.17% at $1,066.66.
