Telegram is launching a new decentralized AI infrastructure called Cocoon, aiming to protect user privacy and reward GPU owners with cryptocurrency.
Quick Summary – TLDR:
- Telegram CEO Pavel Durov announced Cocoon, a decentralized AI inference network, at Blockchain Life 2025.
- Built on the TON blockchain, Cocoon allows GPU owners to earn Toncoin by contributing compute power.
- Telegram will be the first large-scale user, integrating Cocoon into its Mini Apps and AI features.
- The platform challenges centralized AI systems, promoting user privacy and digital freedom.
What Happened?
Telegram has launched Cocoon, a new decentralized AI compute network that runs on the TON blockchain. Announced by CEO Pavel Durov at the Blockchain Life 2025 event in Dubai, the network connects developers needing GPU power with hardware owners who will be paid in Toncoin. Telegram plans to be the network’s first major user, marking a major push into private AI infrastructure.
⚡️ Pavel Durov Took the Stage at Blockchain Life 2025
— Blockchain Life 2025 (@BlLife_Forum) October 29, 2025
Founder of Telegram introduced Cocoon — a new network combining the TON blockchain with decentralized AI technologies.
The announcement instantly became one of the most discussed topics of the entire crypto industry.… pic.twitter.com/T7tDje3oXc
Cocoon Connects Blockchain and AI
Telegram’s vision for Cocoon is a privacy-first AI network that offers confidential computing at scale. According to Durov, the platform was developed to give users the ability to leverage AI tools without handing over their data to centralized tech giants.
Durov told the audience:
The Confidential Compute Open Network, or Cocoon, will act as a global marketplace:
- Developers will access GPU resources to run AI models like Qwen or DeepSeek.
- GPU owners will get paid in TON for processing AI inference tasks.
- All AI interactions will remain encrypted to protect user data, even from the compute providers.
Telegram Becomes First Client
Telegram will route parts of its own AI workloads through Cocoon. With a billion-plus global user base, it has the reach to drive early adoption and encourage developers and GPU owners to join the ecosystem. Cocoon will power Telegram’s AI-driven Mini Apps, offering users new features while keeping their interactions private.
The onboarding process is now live:
- Developers can apply by submitting their AI architecture and expected traffic.
- GPU owners must share hardware details including model, VRAM, and uptime.
AlphaTON and TON Foundation Step In
Cocoon is getting solid infrastructure support from AlphaTON Capital, which is deploying high-performance GPU fleets across global data centers. CEO Brittany Kaiser called it a “pivotal moment” in aligning blockchain, privacy, and AI innovation.
Enzo Villani, Executive Chairman of AlphaTON, highlighted the market need, saying, “Privacy and security are paramount in the AI era.”
Meanwhile, Max Crown of the TON Foundation described Cocoon as a leap forward:
Targeting the AI Monopoly
Telegram is positioning Cocoon as an alternative to Big Tech AI platforms like AWS and Microsoft Azure. These services often log, store, and potentially exploit user data.
By using encrypted, decentralized AI inference:
- Cocoon reduces the risk of data exposure and surveillance.
- It avoids algorithmic manipulation by centralized providers.
- It returns AI power to the hands of users and independent developers.
SQ Magazine Takeaway
I love where Telegram is heading with Cocoon. AI today is powerful but often feels like a black box controlled by a few massive players. What Telegram is doing here is taking a bold step toward transparency and fairness. If it works as promised, Cocoon could change how we think about privacy in AI forever. Instead of handing over your data for free, you’ll have a say in how AI is used, and maybe even earn crypto for your contribution. That’s a huge shift. Count me in.
 
  
  
 
 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
 