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

CN
1 hour ago

AI occupies DeFi, trading and prediction are about to explode.

Author: 0xJeff

Translation: Baihua Blockchain

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

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

  • Reliable trading agents will serve as trading co-pilots, helping newbies trade better

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

  • The increasing demand for AI will lead to a rise in the 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 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 for domain-specific inference (weather forecasting, sports predictions, outcome predictions, etc.)

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

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

  • Under the trend of developers and a small number of companies choosing models, open-source affordability, and diversified setups, decentralized artificial intelligence will gain more adoption

  • 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 domain-specific small models (as opposed to large models that no one can do without) will further drive the value of decentralized artificial intelligence by 2026

Article link: https://www.hellobtc.com/kp/du/12/6158.html

Source: https://x.com/0xJeff/status/1998254688857432478

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