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Enterprise AI focus has shifted from capability to inference cost, which now dominates operational budgets. Inference costs dropped 280-fold but usage has risen dramatically. Leaders must budget at the tokens-per-task level, avoid single-provider deployments, implement semantic caching, and build token-level observability to manage reliability and latency.
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