Large frontier models define the edge of what AI can do, but most product interactions do not require the edge. They require a fast, affordable, predictable answer to a narrow problem.
That realization is pushing teams toward compact models tuned for a specific domain. These systems can run closer to users, respond quickly, and operate within a clearer cost envelope.
Latency changes behavior
When an intelligent feature responds instantly, people use it differently. Suggestions feel interactive instead of asynchronous. Voice interfaces become conversational. Automated checks can run continuously rather than at the end of a workflow.
Speed is not merely an infrastructure metric. It determines which experiences feel natural.
A portfolio, not a winner
The future stack will likely use many models. A small local system can classify intent, a specialized model can handle routine work, and a frontier model can step in for ambiguous or high-value tasks.
That routing layer turns model choice into product design. The winning architecture will not always call the smartest model—it will call the right one.