Why is model distillation becoming the dominant trend across enterprise production deployments?

Frontier models are too slow, computationally expensive, and power-hungry for high-throughput operational tasks. By using massive frontier models to generate synthetic reasoning data and teach compact, specialized models, enterprises achieve near-frontier accuracy at a fraction of the inference latency and cost.