If the next round of public chain competition is no longer about TPS, but about who is better suited to run AI, what will happen?

When looking at @0G_labs, this question becomes very specific. They are not building a faster chain but are shifting the positioning of blockchain from the execution layer to the AI infrastructure layer.
Traditional public chains focus on transactions and contracts, but AI requires high-frequency computation, large-scale data, and continuous inference capabilities. These needs conflict with the original design of the chain.
0G's approach is to split computation, storage, and data availability into independent modules, redesigning the underlying architecture for AI workloads.
The impact on the industry is structural. Blockchain is no longer just a settlement network but begins to carry real computing tasks, especially AI inference.
From a user experience perspective, this change will be very direct. Developers no longer need to put AI off-chain and then interface it back on-chain, but can complete the build within the same environment. Data, models, and execution paths are unified.
If this model proves valid, the core competition of future public chains will no longer be just performance, but who can truly support complex computation. 0G is pushing chains from financial infrastructure toward computing infrastructure.
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