Cost and control reshape enterprise AI deployment strategy

At Dell Technologies AI Leadership Symposium in San Jose, four key themes emerged as enterprises move AI from proof of concept to production. Dell's ecosystem enables rack-scale rollouts of 350 racks within two weeks. Deepgram is extending voice AI models to air-gapped laptops. Runtime governance is shifting from fixed rules to monitoring agent behavior inside private clouds. Rising token costs are pushing workloads back on-premises, with CPUs regaining relevance for agentic AI. The central question, per analyst John Furrier, is no longer whether to adopt AI but who controls it and where it runs.