Public sector modernisation efforts accelerate amid infrastructure challenges: Nutanix Report

Nutanix has released findings from the public sector vertical edition of its eighth annual Enterprise Cloud Index (ECI) survey. The findings show that public sector organisations, including federal, state, and local governments, K-12, and higher education, are incorporating AI into business operations ranging from benefits eligibility to fraud detection. Yet, they are facing barriers in infrastructure readiness, workforce capability, and governance. This drives the urgent need for public sector IT leaders to build modernized hybrid infrastructure that can support the growing needs of this diverse industry.

Faced with a dual mandate to advance mission outcomes and safeguard public data, government agencies are turning to application containerization to improve the speed, scalability, and security of their AI workloads, even as organizational silos increase the risk of unmanaged shadow AI. 

·       Government and education IT leaders surveyed in the Nutanix Public Sector Report overwhelmingly agree (91%) that unvetted AI usage creates mission and security risks.

·       A key takeaway from the Nutanix ECI research is that 73% of public sector infrastructure is currently unready to run complex AI workloads on-premises.

·       Findings from the Nutanix industry study indicate that 87% of public sector technology leaders expect their reliance on application containerization to scale up over the next three years.

The findings point to a sector at a critical juncture. AI is already running across government and education environments, from containerized applications to hybrid infrastructures and, increasingly, direct service delivery. But the foundation underneath is uneven, as organisations juggle legacy on-premises systems, private clouds, and the migration of legacy systems to modern cloud infrastructure simultaneously, often without a unified control plane.

"The proliferation of unvetted AI, or ‘Shadow AI’, has emerged as the defining governance challenge for the public sector. Across Asia Pacific and Japan, the conversation has shifted from AI ambition to operational readiness. The organisations moving ahead are those that stop chasing every new capability in isolation and instead consolidate their foundations. By prioritizing secure, containerized architecture, these leaders are establishing the guardrails required to harness AI confidently, ensuring they earn and sustain public trust as AI becomes further embedded in citizen services," said Daryush Ashjari, Chief Technology Officer and Vice President of Solution Engineering, APJ - Nutanix.

For public sector IT leaders, this creates a clear mandate. AI workloads that touch citizen services, public safety and educational outcomes demand infrastructure that can deliver performance, maintain regulatory compliance and support mission governance, not just centrally, but at the point of delivery, where data sovereignty directly affects the communities, government exists to serve.