Steady, business-critical AI demand is pushing companies to reconsider pay-per-use models and weigh owning AI capacity to make costs more predictable at scale.
Deloitte’s 2026 enterprise AI survey shows worker access to AI rose 5% in 2025, while the share of companies with at least 40% of AI projects in production is expected to double within six months.
That shift changes the economics because always-on assistants, retrieval systems and agentic workflows create recurring model, data and tool usage that can make monthly consumption bills volatile.
Ownership is not automatically cheaper: the crossover point depends on workload mix, token patterns, performance needs, energy costs and whether companies can keep infrastructure highly utilized.
Over the next 12 to 18 months, the winning approach is framed as a workload-by-workload decision, with governance and rapid production rollout determining whether AI becomes a productive asset.