The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
A recent survey of 107 enterprises reveals a significant "compute gap" in AI infrastructure, where rapid investment outpaces the ability to measure and manage associated costs. Most organizations are still early in their AI deployment journey, with only 21% running AI at scale, while many plan to switch providers and explore specialized AI clouds despite low current utilization of existing resources.
Enterprises are rapidly investing in AI infrastructure, specifically AI-specialized clouds and alternative accelerators, despite having limited visibility into their economic impact, with most reporting low GPU utilization and inadequate cost tracking. Given the trend of enterprises intending to switch or add infrastructure providers within a year, focusing on improving measurement capabilities and optimizing existing assets could provide a competitive edge and better prepare for the impending shift in infrastructure strategy.