What happens if the value of AI is no longer concentrated in model companies but distributed across the entire network.

@0G_labs's attempt is to break AI into multiple resource layers. Computing, storage, and data are provided by different participants and scheduled and priced through the network.
This means AI is no longer just a tool but begins to become a complete resource marketplace. Each participant can receive corresponding rewards within this system.
The impact on the industry is that the logic of value distribution is rewritten. In the past, profits were concentrated in a few platforms, but now computing power providers, data contributors, and developers all have the opportunity to participate.
From a user experience perspective, this structure will be more equitable. The costs you pay correspond to real resources. The capabilities you provide will also be directly priced.
More importantly, this model provides the foundation for large-scale AI applications. Only when resources can be marketized and scheduled can AI truly expand into complex scenarios.
If development continues, infrastructure like @0G will be more like the underlying network of the AI era rather than a single product. That is where its longer-term value lies.
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