85% of developers and technology buyers agree AI has shifted the bottleneck from writing code to reviewing and validating it.

84% of developers and technology buyers agree the biggest challenge with AI-generated code is governing what happens to it after it's created.

87% of developers and technology buyers are confident their team could determine within 24 hours whether AI-generated code contributed to a production incident.

34% of organizations that experienced a production incident in the past year cannot determine whether AI-generated code contributed to it.

80% of developers and technology buyers say their organization adopted AI tools faster than it developed policies to govern them.

92% of developers and technology buyers report some form of governance challenge with AI-generated code.

91% of organizations have two or more AI coding tools in active use.

54% of organizations have three or more AI coding tools in active use.

83% of organizations identify AI-generated code accumulation as a risk to manage now.

91% of organizations are likely to invest in AI code governance tools in the next 12 months.

98% of organizations have already allocated or expect to allocate budget for AI code governance.

Only 20% of organizations track error rates of AI-generated changes.

86% of IT decision-makers and platform engineering leaders say AI has increased demands on infrastructure teams.

86% of infrastructure leaders say they are confident in their organization's ability to govern AI, but only 30% have a formal AI governance policy in place.

70% of Exposed organizations express confidence in their AI governance capabilities, yet only 4% of Exposed organizations have a formal AI governance policy.

The use of AI to generate code without thorough review occurs in developer code (79%), infrastructure-as-code/HCL (78%), and policy-as-code (78%).

33% of infrastructure teams would apply AI-generated HCL directly to production without any review, and an additional 43% would apply it with only minimal review.

Pioneer organizations apply AI-generated IaC at 86%, compared with 69% for Exposed organizations.

19% of organizations are Pioneer, 25% are Outpacing, 32% are Fragmented, and 24% are Exposed in the AI Maturity Index.

Only 15% of organizations track the volume of AI-generated infrastructure-as-code moving through their pipelines.