Governed compute beats cloud-first AI: the unit-economics reckoning
Enterprises are discovering that “AI governance” isn’t mainly about policies or model choice—it’s about runtime control, cost predictability, and where compute actually runs. The shift toward governed compute strategies is reshaping how AI teams design, deploy, and price inference.
Lavamgam AIJun 4, 20264 min read read
The Big Idea
For years, “cloud-first” has been the default setting for enterprise AI: you buy the GPUs, you ship the prompts, and the bill magically appears later. New research and product moves suggest the magic is gone—and the real problem is runtime governance, not model quality.
VentureBeat’s Pulse Research calls it the “Governance Mirage”: many organizations draw org charts for AI governance, but fail to build the control layers that keep agents stable, costs predictable, and outputs...