Terry KS MALAYSIA, 17 JULY 2026 – Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, has released findings from the public sector vertical edition of its eighth annual Enterprise Cloud Index (ECI) survey. The results show that public sector organisations, including federal, state, and local governments, K-12 schools, and higher education institutions, are increasingly incorporating AI into business operations ranging from benefits eligibility to fraud detection. However, these organisations continue to face significant barriers in infrastructure readiness, workforce capability, and governance, underscoring an urgent need for public sector IT leaders to build modernised hybrid infrastructure capable of supporting the sector’s diverse and growing needs.
As government agencies navigate a dual mandate to advance mission outcomes while safeguarding public data, many are turning to application containerisation to improve the speed, scalability, and security of their AI workloads. At the same time, organisational silos are increasing the risk of unmanaged “shadow AI” across agencies.
Among the key findings, 91% of government and education IT leaders surveyed agreed that unvetted AI usage creates mission and security risks. The research also revealed that 73% of public sector infrastructure is currently unready to run complex AI workloads on-premises. Additionally, 87% of public sector technology leaders expect their reliance on application containerisation to scale up over the next three years.
These findings point to a sector at a critical juncture. AI is already embedded across government and education environments, spanning containerised applications, hybrid infrastructures, and increasingly, direct service delivery. Yet the underlying foundation remains uneven, as organisations simultaneously manage legacy on-premises systems, private clouds, and ongoing migrations to modern cloud infrastructure, often without a unified control plane.
Daryush Ashjari, Chief Technology Officer and Vice President of Solution Engineering, APJ at Nutanix, said the rise of unvetted AI, or “Shadow AI,” has become the defining governance challenge for the public sector. He noted that across Asia Pacific and Japan, the conversation has shifted from AI ambition toward operational readiness, with the most advanced organisations choosing to consolidate their foundations rather than chase every new capability in isolation. According to Ashjari, by prioritising secure, containerised architecture, these organisations are establishing the guardrails needed to adopt AI confidently while earning and sustaining public trust as AI becomes further embedded in citizen services.
For public sector IT leaders, the implications are clear. AI workloads that touch citizen services, public safety, and educational outcomes require infrastructure that can deliver strong performance, maintain regulatory compliance, and support mission governance, not only at a centralized level but also at the point of delivery, where data sovereignty directly impacts the communities that government agencies serve.