The future of AI governance in 2026
AI has moved beyond experimentation—but governing it at scale is still a challenge. We surveyed 200 enterprise executives and practitioners from companies like Box and WordPress. The resulting report reveals why manual reviews are breaking down, how governance is becoming a competitive advantage, and what enterprises need to do to scale AI with speed, visibility, and control.
What enterprise leaders say
93%
say AI initiatives in their organizations fail to reach production at least occasionally due to governance constraints
91%
expect AI governance spending to increase over the next 24 months
94%
agree AI governance must shift from policies and approvals to a continuously operating system embedded in how AI is built and run
What you'll learn
Why AI governance breaks down at scale—and why manual reviews, approvals, and exceptions can't keep up
What leading enterprises are doing differently with embedded guardrails, federated ownership, and real-time visibility
How AI governance must evolve from static policies into a continuously operating system for scaling safely
340万社の企業に信頼されています
