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AI3: Revolutionizing Decentralized AI with Modular Infrastructure
AI3 is the native token of the Autonomys Network, a decentralized platform for scalable, secure, and composable AI (deAI) infrastructure. Launched in August 2025, AI3 powers on-chain AI workloads, enabling developers to deploy, manage, and monetize models with high throughput and low costs.
What Is AI3?
AI3 is a blockchain-based cryptocurrency that facilitates the Autonomys Network’s ecosystem, focusing on modular execution environments for decentralized artificial intelligence applications. It addresses key challenges in on-chain AI, such as scalability, security, and composability, by providing a flexible framework for AI model deployment and interaction. The token supports network operations, staking, and governance, making it integral to the platform’s self-sustaining economy.
Key Features of AI3
AI3’s design emphasizes efficiency and innovation:
These features reduce fees and improve scalability, making deAI accessible for developers and enterprises.
How Does AI3 Work?
The Autonomys Network operates through AI3’s integration:
Transferability is disabled until the Token Generation Event (TGE) with Mainnet Phase-2, ensuring controlled rollout.
Benefits of AI3
AI3 offers practical advantages:
These benefits position AI3 as a foundation for efficient deAI ecosystems.
Use Cases for AI3
AI3 enables diverse applications:
AI3 Tokenomics
Partnerships and Milestones
Founded by the Subspace Foundation in 2024, AI3 draws on expertise in distributed systems, cryptography, and AI infrastructure. It secured multi-million dollar seed funding from Web3 venture firms. Key milestones include the August 2025 mainnet launch, introducing modular environments, and strategic partnerships with AI research labs and enterprise tech providers. The “Domains” feature further solidifies AI3’s innovation in deAI.
Future Outlook
AI3’s ecosystem is self-sustaining and growing, with potential to transform on-chain AI through modular design and collaborations. Implementation details may evolve, and the focus remains on scalability and composability for deAI applications.