Points of Focus 

• dAI mainnet targeted for Q1 2026 with verifiable on-chain inference.  
• Uses ZK proofs and TEEs for trustless AI workloads.  
• Aims to enable censorship-resistant agents and tokenized models.

Ethereum developers are finalizing plans for the dAI mainnet launch in Q1 2026, a major upgrade that integrates decentralized AI inference and verifiable computation directly into the protocol, aiming to make on-chain machine learning economically viable and censorship-resistant.

dAI Mainnet to rule 2026?

The dAI initiative, first outlined at in November 2025, introduces a new execution environment for AI workloads via EIP-XXXX (still in draft), allowing smart contracts to call decentralized inference nodes with verifiable outputs using zero-knowledge proofs and TEEs. 

Key features include:

• On-chain model registry for open-source weights.
• Verifiable inference proofs for trustless execution.
• Native staking for inference nodes with slashing for malicious outputs.
• Integration with L2s for high-throughput agent coordination.

Early testnet results show inference latency for common models like Llama-3 8B, with costs 70-90% below centralized providers like OpenAI, thanks to distributed GPU incentives and blob-based data availability from Fusaka.

The Ethereum Foundation first announced the creation of a dedicated AI team named dAI, positioning the network as a potential foundational layer for artificial intelligence development. Led by core developer Davide Crapis, the team focused on bridging blockchain organizations with leading AI companies in Silicon Valley.

We’re starting a new AI Team at the Ethereum Foundation (the dAI Team).
Our mission: make Ethereum the preferred settlement and coordination layer for AIs and the machine economy.

The team will focus on two main areas:
– AI Economy on Ethereum = giving AI agents and robots ways… pic.twitter.com/9sWVS4dp0K

— Davide Crapis (@DavideCrapis) September 15, 2025

This effort showed intent on Ethereum’s part to pursue a strategic shift toward deeper integration with AI software development, moving beyond its traditional financial use cases. Crapis highlighted that AI would play a critical role in Ethereum’s long-term sustainability as the technology becomes increasingly embedded in everyday human life.

The Ethereum Foundation’s AI working group, in collaboration with teams from Bittensor and Ritual, has prioritized dAI as the headline focus for the Q1 2026 hard fork following Glamsterdam. Developers aim to ship a minimal viable set of inference primitives in January, with full agent tooling rolling out by March.

🚨ETHEREUM UPGRADE INCOMING

Ethereum is set for a major scaling leap in 2026. The Glamsterdam fork introduces true parallel processing and raises the gas limit to 200M, up from 60M today. pic.twitter.com/7gwXSpZtVn

— Coin Bureau (@coinbureau) December 25, 2025

The upgrade targets a critical pain point. AI agents currently rely on centralized APIs, creating single points of failure and censorship risks. On-chain inference could enable autonomous DeFi strategies, tokenized AI models, and privacy-preserving agents, with early use cases already in testing on Sepolia. This is in line with major predictions as AI and crypto collaboration are set to be one of the most defining narratives of 2026. 

Ethereum traded at $2,960.98 on December 2026, up 0.74% as anticipation builds.