Making AI an asset, not an expense
When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud. Do they always need that level of capability? Not necessarily. But that is often where the conversation goes. As AI moves from experimentation t…
Résumé
AI shifts to production
AI is moving from small-scale experiments to large-scale, business-critical applications in companies.
This shift is reflected in Deloitte’s 2026 State of AI in the Enterprise report, which shows that worker access to AI rose by 5% in 2025.
The report also predicts that the share of companies with at least 40% of their AI projects in production will double within six months.
This transition means AI is no longer just a tool for testing but a core part of business operations, including customer service, IT, research, and business processes.
As AI becomes a portfolio of always-on workloads, its economic impact changes, requiring companies to rethink how they manage and pay for it.
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