AI isn’t just growing; it’s outpacing the systems meant to control it.
Based on a survey of 788 U.S. enterprise decision-makers and practitioners, this report reveals a critical imbalance: organizations are rapidly scaling AI factories while the visibility, governance, and operational controls required to run them are falling behind.
The result? Rising costs, unpredictable performance, and systems operating beyond human-scale management.
Inside the report, you’ll uncover:
- Why 54% of enterprises are already scaling AI across teams—many while simultaneously expanding infrastructure
- How 59% cannot automatically identify root cause when AI workloads fail
- Where visibility breaks down across the AI factory stack—from GPUs to data pipelines
- Why organizations are deprioritizing cost optimization, security, and governance at the exact moment they matter most
- What 70% of enterprises say they need now to regain control
Enterprises are investing heavily in AI outputs—but neglecting the operational systems that make those outcomes reliable, measurable, and scalable.
Download the full report to understand where AI factory operations are breaking down—and what it takes to fix them.