If we look at it from the perspective of an economic model, AI networks face a long-term problem: value distribution is not transparent. It's difficult to form a fair incentive structure between model developers, compute providers, and application developers. The emergence of @dgrid_ai has actually created a more complete AI economic system.

In the DGrid network, $DGAI tokens serve multiple functions including payments, staking, incentives, and governance. Users pay fees in tokens when calling AI inference services, nodes earn rewards by providing computing power, and token holders can participate in network governance.
The significance of this structure is to enable the entire AI network to form a self-circulating economic system, rather than relying on a single company to control resources and revenue.
From a long-term perspective, this model may pioneer a new form of AI network. In the future, AI will no longer be just a technological product, but may evolve into an open infrastructure collectively maintained and governed by the community.
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