Frontier AI labs are quietly shifting from building the single smartest model to building smart routing layers that decide question-by-question whether to invoke a large, expensive model or fall back to a cheaper, safer one. This mirrors hardware workload matching — using the right accelerator rather than the biggest chip for everything. The real competitive axis is moving from raw model capability to trustworthiness and cost-efficiency at scale.
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