Signs of 2026: How AI Will "Eliminate" DeFi and the Crypto World?

CN
53 minutes ago

Written by: 0xJeff

Translated by: Baihua Blockchain

At least 5% of DeFi will be managed by AI agents

Cryptocurrency "vibe-coding" will become a trend—smart contracts, dApps, and DeFi vaults will be "vibe-coded" by agents.

Reliable trading agents will serve as co-pilots for trading, helping newcomers trade better.

Yield Farming Agents will be able to help optimize more complex strategies, going beyond simple optimization of the Bitcoin market.

The increasing demand for AI will lead to a greater need for security, privacy, verifiability, and transparency.

x402 will usher in a wave of new cryptocurrency models.

ERC-8004 will become the choice for AI agents.

The DeFAI abstraction layer will be embedded into popular dApps and mobile applications, optimizing the experience for new users.

The adoption of cryptocurrency $\times$ artificial intelligence by enterprises will remain slow, but privacy-protecting and compliant reliable solutions will be able to capture enterprise demand.

Cryptocurrency $\times$ artificial intelligence will help drive the development of robotics through data collection, coordination, payments, identity, and large-scale funding support.

Inference networks will serve more demands than ever, especially in specific domain reasoning (weather forecasting, sports predictions, outcome predictions, etc.).

Machine learning systems will drive the large-scale productization of prediction market vaults (i.e., PM liquidity provision).

Prediction markets remain an explosive case for cryptocurrency, providing opportunities for prediction traders, yield farmers, and builders.

Decentralized artificial intelligence will gain more adoption under the trend of developers and a small number of companies choosing models, open-sourcing cheaply, and diversifying setups.

More talent from general AI will shift to Darwinian AI Platforms, accelerating the development speed of AI within those ecosystems.

Reinforcement learning will achieve new breakthroughs, leading to at least one commercialized RL example by 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 models in specific domains (large models that no one can do without) will further drive the value of decentralized artificial intelligence by 2026.

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