Presented by JumpCloud
IT leaders are recalibrating their confidence in AI maturity—not due to failure, but because of the real-world challenges they face as AI moves from pilot to production.
Six months ago, 40% of IT leaders said their AI deployments were mature. Now, just 23% feel that way. This shift reflects a more accurate self-assessment as organizations confront governance, accountability, and scaling issues that emerge with full production environments.
Pilot programs are controlled and limited, but production deployment requires ongoing oversight: understanding agent access, visibility, and unexpected behaviors. Many organizations find gaps here, especially in managing non-human AI identities, which now outnumber humans but often lack proper governance.
Those facing these challenges openly are the ones building the necessary infrastructure—consolidating IT environments, establishing clear AI agent governance, and focusing on outcomes rather than just deployments. This honest approach lays the foundation for confident, responsible AI expansion.
JumpCloud’s Q3 2026 AI Readiness Research report highlights that 84% of organizations plan to expand AI use, with maturity coming from raising standards and accountability rather than blind optimism.
Rajat Bhargava, CEO and Co-founder of JumpCloud, emphasizes that this honest reassessment is a sign of progress, not retreat.
