AI article
Making AI an asset, not an expense
Publisher description: 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 to production, model choice is only…
MIT Technology Review | Sep 29, 2026 | Cheri Williams
Automated excerpt
As AI moves from experimentation to production, model choice is only part of the equation. Enterprises need to model their actual workloads, understand expected demand, and size capacity accordingly. With it, AI capacity becomes a productive asset the business can optimize, expand, and use to create measurable value.
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