Are frontier models becoming the default for tasks that don’t need them?

A lot of AI traffic is classification, extraction, redaction, moderation and structured summarization rather than open-ended reasoning.
Using one frontier model for everything is easier, but routing repeatable tasks to smaller specialized models could reduce cost and latency.
Do you think multi-model routing will become standard, or will the added evaluation and maintenance outweigh the savings?