Recently, I've been tracking many trends in prediction markets, and 2026 is clearly heating up. Applications similar to Polymarket on the Solana ecosystem are iterating at an astonishing speed, with Aptos and BNB Chain also quickly following the trend. Meanwhile, the Bitcoin ecosystem, driven by RWA and DeFi demands, is raising its standards for data oracle accuracy.

Looking back, when Chainlink monopolized the oracle market, everyone thought it was a done deal. But the current landscape has completely changed—issues like data latency, cost pain points, and off-chain computation security vulnerabilities have all been exposed under the impact of high-frequency trading and AI applications.

While browsing project repositories, I came across an interesting idea. Some teams are focusing on AI-enhanced oracles, targeting the so-called Oracle 3.0 standard. The core logic is quite clear: a dual-layer architecture combining off-chain AI computation with on-chain verification. Most traditional solutions still rely on multi-node data aggregation, which is vulnerable to single points of failure or network conditions. This new approach first uses AI to perform intelligent processing and optimization off-chain, then pushes the results on-chain for final verification and confirmation.

This design can handle complex scenarios—such as RWA physical asset pricing, AI model outputs, and real-time prediction market odds fluctuations—without compromising decentralization and security. The combination of off-chain processing and on-chain verification offers a better solution for high-frequency data flow and complex computations.

The iteration from infrastructure to application layer in oracles indicates that this sector is far from cooling down; in fact, demand is deepening. Those who can truly solve latency and accuracy issues will seize the opportunity in this wave of expansion.