Written by: 0xJeff
Compiled by: Plain Language Blockchain
At least 5% of DeFi will be managed by AI agents

Crypto "vibe-coding" will become a trend — smart contracts, dApps, and DeFi treasuries will be "vibe-coded" by agents
Reliable trading agents will be offered as trading copilots, helping novices trade better
Yield Farming Agents will be able to help optimize more complex strategies, going beyond simple Bitcoin market optimization
Increased demand for AI will lead to increased demand for security, privacy, verifiability, and transparency
x402 will kick off a new wave of crypto monetization models
ERC-8004 will become the choice for AI agents
The DeFAI abstraction layer will be embedded as features in popular dApps and mobile applications, optimizing the experience for new users
Enterprise adoption of crypto $\times$ AI will remain slow, but privacy-preserving, compliant, and reliable solutions will be able to capture enterprise demand
Crypto $\times$ AI will help advance robotics by collecting data, coordinating, payments, identity, and large-scale funding
Inference networks will serve more demand than ever, especially domain-specific inference (weather forecasting, sports predictions, outcome predictions, etc.)
Machine learning systems will drive the mass productionization of prediction market treasuries (i.e., PM liquidity provision)
Prediction markets remain a breakout case for crypto, providing opportunities for prediction traders, yield farmers, and builders
Decentralized AI sees more adoption, driven by trends where developers and a subset of companies choose models, open-source cheaply, and set up diversification
More talent from general AI will shift to Darwinian AI Platforms, accelerating the pace of AI development within those ecosystems
Reinforcement learning will achieve new breakthroughs, leading to at least one commercialized RL example in 2026
Quantum computing will become a key narrative of the year — we will see quantum-resistant coins and quantum-related coins
The future of small, domain-specific models (not the large models that no one can) will further drive the value of decentralized AI in 2026


