I increasingly believe that the most underestimated aspect of this round of AI Crypto is not the application layer, but the underlying resource network.

Because in the future, what will truly be scarce is not the ability to generate content, but who can provide trustworthy, low-cost, verifiable AI infrastructure.
And @0G_labs happens to be working on this, with its current public direction already very clear.
AI Chain, decentralized Compute, modular Storage, high-performance DA, plus AI Service Marketplace.
The entire structure is essentially trying to build a Decentralized AI Operating System.
Many people underestimate the industry logic behind this.
In the past internet era, cloud computing platforms held the most core resource allocation rights in the AI world.
Model training, inference, data, and computing power were all concentrated in a few companies, which meant that the stronger AI became, the more centralized it was.
And the truly valuable aspect of blockchain is not issuing tokens, but redefining resource collaboration relationships.
Therefore, 0G’s direction is fundamentally answering a longer-term question.
If in the future, AI Agents enter the on-chain world at scale, who will be responsible for their data flow, computation flow, and value flow?
Traditional L1 blockchains simply cannot support this scale, because AI’s requirements for data throughput and real-time inference far exceed those of ordinary financial transactions.
This is also why more and more AI projects are now competing around DA, Compute, and modular architecture.
Because the true big cycle has never been about who tells the best story, but who can truly support the operation of the next-generation network.
And 0G has already started to show that flavor.
@Galxe @GalxeQuest @wallchain @TermMaxFi