Nutanix Study Finds Public Sector Embraces Generative AI, but Faces Security, Skills, and Infrastructure Gaps

Core Insights - Generative AI (GenAI) is significantly enhancing productivity, efficiency, and automation in public sector organizations, with a long-term return on investment expected [1][4] Group 1: GenAI Adoption and Implementation - 83% of public sector organizations have a GenAI strategy, with 54% actively implementing it and 29% preparing for implementation [1] - 94% of public sector organizations are currently leveraging GenAI applications and workloads, indicating rapid adoption [4][3] Group 2: Infrastructure Modernization - 76% of IT decision-makers in the public sector believe their current infrastructure requires moderate to significant improvement to support modern, cloud-native applications at scale [2][4] - Infrastructure modernization is a top priority, as it is essential for meeting GenAI's requirements for data security, integrity, and resilience [2][4] Group 3: Security and Privacy Concerns - 92% of public sector leaders emphasize the need for improved security measures for GenAI models and applications [3][4] - 96% of respondents agree that GenAI is shifting their organization's priorities, with a heightened focus on security and privacy [4] Group 4: Challenges in GenAI Deployment - Despite the rapid pace of GenAI adoption, public sector organizations face challenges such as data security, privacy concerns, and the need for ongoing upskilling and hiring to support new GenAI projects [4][3] Group 5: Application Containerization - 96% of public sector respondents are in the process of containerizing applications, reflecting a growing trend towards application containerization and Kubernetes deployment [4][5] - 91% of respondents agree that their organization benefits from adopting cloud-native applications and containers [4]