Many people now understand the combination of AI and Web3 as data on the blockchain, but the real issue is not storage, rather how to efficiently access and utilize the data.

@0G_labs aims to address data usability and accessibility. It provides a high-throughput data layer that allows data to be read and verified quickly, rather than becoming a bottleneck like traditional blockchains.
The logic behind this is clear: AI requires continuous data streams, not fragmented state records. If data cannot be accessed efficiently, even the most powerful models cannot perform effectively.
From a trader’s perspective, the evaluation criteria for such projects are straightforward: whether developers are using it, and whether the data layer is being called frequently.
Once the data layer becomes a bottleneck solution, the entire AI application ecosystem will gravitate toward it.
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