As enterprises rush to automate with generative AI, the harder problem is no longer capability alone - it is controlling spend, limiting what the system can touch, and stopping bad output before it becomes a business decision.
The real value in AI is increasingly moving into the system around the model - the orchestration, context handling, evaluation, and cost discipline that decide whether the tool is useful in practice.
The real dispute around artificial intelligence is shifting from model performance to who captures the value, who pays, and whether public policy can keep pace.