A recent industry consensus is circulating — by 2026, Web3 will experience three revolutionary changes: AI and the robot economy, interest-bearing stablecoins, and the tokenization of national assets. But beneath these three trends, there is a deeper underlying factor — the demand for on-chain data has reached a critical point.

Upon closer reflection, you'll find that the core reason these trends are valid all points to the same issue: the need for sufficiently reliable, fast, and comprehensive data support.

**AI becoming a trading counterpart turns data into its eyes**

The next wave of user growth will no longer be retail investors, but AI agents. How can autonomous trading AIs survive? They need to obtain global market prices, sentiment signals, pool depths, and other information within milliseconds. A one-second delay or error in data could mean huge losses. At this point, a verifiable, high-frequency, multi-source cross-verified data layer becomes a matter of life and death.

Projects similar to Oracle have a clear opportunity here — not just simple quoting, but building a complete perception system for the machine economy. Low latency, multi-source verification, real-time push — these are no longer optional luxuries but critical lifelines.

**The pricing power war in RWA tokenization**

Once real assets like bonds, commodities, and minerals are on-chain, who controls the pricing power will determine the entire ecosystem's discourse power. The value anchoring of on-chain assets requires trustworthy, tamper-proof data sources. This is another explosive point for Oracle-like infrastructure.

**Interest-bearing stablecoins require continuous, high-precision market feedback**

The operation of such stablecoins depends on real-time interest rate data, collateral value updates, and risk alerts. The accuracy of data directly impacts the sustainability of the entire mechanism.

If we see these new trends as destinations, then who is responsible for building the roads, fueling, and installing traffic signals? It’s those projects dedicated to data infrastructure. The verifiable data layers they build will be continuously consumed by these emerging demands. In a sense, infrastructure is always the most benefited track.