Enterprises to start-ups should treat self-hosted models as a serious option for sustained, high-volume AI workloads. The strongest strategy combines owned infrastructure with cloud APIs, guided by workload economics. Self-hosting reduces long-term costs for workloads that run for four or more hours daily, while cloud APIs suit bursty demand. Local deployment offers privacy and control but requires honest budgeting for hardware and expertise.