Telegram founder Pavel Durov presents has unveiled Cocoon (Confidential Compute Open Network), a new decentralized platform that merges artificial intelligence compute power with blockchain infrastructure. Built on the TON blockchain, Cocoon will launch in November 2025, allowing GPU owners to contribute processing power and earn tokens while enabling developers to deploy AI models at lower cost.
The project is part of Telegram’s broader vision to integrate AI capabilities and financial utilities directly into its massive messaging ecosystem, which serves more than one billion monthly users. Telegram will also be among the first adopters, using Cocoon to enhance its suite of mini-apps and in-app bots.
AI, Blockchain, and the Future of Compute
Cocoon marks Telegram’s next step toward building an AI-driven digital infrastructure that unites social, financial and computational layers. The network’s decentralized model aims to challenge centralized cloud providers by offering competitive pricing, robust data privacy and greater transparency for AI workloads.
For GPU owners, Cocoon creates a new income stream: users can rent out computing capacity to AI developers and receive TON tokens in exchange. Developers gain access to an on-chain compute marketplace where they can process models securely without exposing proprietary data to third parties.
This launch positions Telegram at the crossroads of AI, blockchain and social media, signaling a major push to become a foundational player in the Web3 and AI-compute landscape.
Institutional Impact and Future Outlook
Industry analysts view Cocoon as an ambitious attempt to decentralize compute infrastructure and reshape how AI applications are built and monetized. By integrating blockchain incentives with real AI workloads, Telegram could open the door to tokenized computing marketplaces and community-driven data processing.
Still, execution risks remain. Telegram must build a large and reliable network of GPU providers, ensure TON’s scalability, maintain developer adoption and navigate compliance issues around tokenized rewards. Success will depend on whether the platform can deliver efficient, secure compute at scale while preserving user privacy.
Key developments to watch include the network’s initial GPU host participation, early developer adoption, AI workload volume, and Telegram’s own integration timeline. If successful, Cocoon could redefine the intersection of decentralized infrastructure, AI services and social-media engagement.
