Enterprise AI advantage shifts from model choice to robust serving harness design

The competitive edge in enterprise AI is moving from model capability (e.g., larger models or better reasoning) to the serving harness—the surrounding engineering system including architecture, memory management, scheduling, and optimization decisions. This shift means that production success depends on reliably and economically delivering intelligence at scale, rather than just model accuracy. The right solution is defined by the specific business workload, not by a universally 'best' model, as production constraints like latency, concurrency, and infrastructure cost must dictate the architecture.