When AI Starts Spending Our Money, How Do We Solve the Trust Problem?
In early 2026, daily active AI agents on-chain reached 250,000, up more than 400% year over year. These agents are no longer just chatbots. They are actually trading, arbitraging, managing funds, and hiring other agents to complete tasks. In 2025, AI agents generated $31 billion in DEX trading volume, accounting for about 2% of all DEX trading volume. Among DeFi protocols newly launched in Q1…
In early 2026, the number of daily active AI agents on blockchain surged to 250,000, a staggering 400% increase compared to the previous year. These agents are no longer limited to being chatbots; they actively engage in trading, arbitrage, fund management, and even delegate tasks to other AI agents. In 2025, AI agents contributed $31 billion to decentralized exchange (DEX) trading, representing approximately 2% of the total DEX trading volume.
The integration of AI agents into the DeFi sector is accelerating, with 68% of newly launched DeFi protocols in Q1 2026 incorporating at least one autonomous AI agent. However, a fundamental challenge persists: AI's ability to execute tasks at scale is remarkably cost-effective, yet this cost-effectiveness does not inherently guarantee trustworthiness. The execution process functions like a "black box," making it difficult for users to verify whether the AI agent behaves as intended.
Blockchain technology plays a crucial role in this scenario, offering verifiable state changes, auditable records, and coordination mechanisms that do not necessitate trust in a third party. In essence, AI addresses the question of "how" to accomplish tasks, while blockchain tackles the question of "why" we should trust these AI agents. The successful emergence of a genuine agent economy hinges on the harmonious combination of these two technologies.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
