Decentralized AI: The Rise of Blockchain-Driven Intelligence

The decentralized AI landscape is expected to undergo significant changes in the coming years. One of the key challenges facing centralized AI systems is their reliance on scarce and expensive computing resources, which can lead to excessive concentration of control.

As GPU infrastructure continues to grow, with projections indicating it will reach $77 billion by 2035, the decentralized computing market is also expected to increase from $9 billion in 2024 to $22 billion in 2035. However, this growth is contingent on whether the current shortage of resources is structural or cyclical.

Decentralized AI systems aim to address these challenges by utilizing blockchain technology to provide open, verifiable, and economically accessible intelligence. The decentralized AI stack consists of three layers: application and services, middleware, and infrastructure.