AI and LLMs are rapidly becoming the next-gen tool for crypto markets—whether it’s parsing thousands of white papers, finding hidden sentiment shifts, or optimizing trading strategies. This is the speed layer of the market, and it’s undeniably cool.

But the real irony is that while we're using futuristic AI to trade, the underlying market structure is still stuck in the past. An LLM can only analyze and trade what is available and liquid.

The hard, foundational work that needs to be done has nothing to do with prediction. It's about fixing the technical debt left over from the early years. The Real-World Asset revolution is where the institutional value is moving, but those tokens are often trapped in single-chain ecosystems.

An AI can’t solve the problem of interoperability. It can’t build the bridges or create the necessary security standards to allow different blockchains to trust each other. That requires specialized, industrial-grade tooling and cross-chain infrastructure. Until platforms like LumosCore (https://lumoscore.com/) build those unified, multi-chain standards to seamlessly secure and move high-stakes RWA—making them liquid and tradable everywhere—AI is just optimizing trades on an unnecessarily small pool of assets. We need robust infrastructure first; then, AI can truly unlock global liquidity.