The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs

Short summary

A VentureBeat survey of 107 enterprises reveals a 'compute gap': AI infrastructure spending is accelerating far ahead of organizations' ability to measure and control its economics. Only 21% run AI in production at scale, 83% report GPU utilization at 50% or less, and fewer than half can rigorously track compute costs, yet 64% plan to switch or add infrastructure providers within a year. Buying decisions are driven by integration (41%) and total cost of ownership (35%) rather than headline token price, while specialized AI clouds remain barely adopted despite strong evaluation intent.

• •Only 21% of enterprises run AI in production at scale; 83% report GPU utilization at 50% or less
• •64% plan to switch or add infrastructure providers within 12 months, prioritizing integration and TCO over token price
• •Fewer than half (44%) can rigorously track AI compute costs, creating a visibility gap as spending accelerates

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