Asia Pacific Governments Embrace Sovereign AI as a Strategic National Priority, but Scale Hinges on Trust, Skills, and Infrastructure Readiness
Source: EQS|
Story Highlights:
The study, based on a survey of 360 government IT decision-makers across eight APJ markets, finds that Sovereign AI has risen from the seventh to the second-highest government investment priority in just one year. This signals a fundamental shift in how the region's public sector leaders view AI, seeing it as critical national digital infrastructure rather than a simple technology upgrade. APJ governments are shifting from awareness to activation, but investment needs to catch up The research reveals that This activation is underpinned by a clear strategic rationale. More than three-quarters (76.9%) of government leaders agree that investing in Sovereign AI enhances their agency's resilience against geopolitical risks and supply chain disruptions. Despite this, only 3.1% are investing significantly so far. Meanwhile, only 1.7% of respondents say they have no plans to adopt Sovereign AI. Across the region, governments are pursuing "selective sovereignty" to maintain strong control over sensitive data, critical systems, and regulated workloads, while continuing to leverage global technology ecosystems for innovation and scale. Hybrid sovereign models that combine on-premises infrastructure and sovereign cloud environments with broader ecosystem access are emerging as the preferred deployment approach. Agentic AI poised to accelerate government AI adoption across This positions This confidence is driven in part by operational necessity. With nearly nine in 10 APJ government organizations reporting critical digital skills shortages, agentic AI is emerging as a practical workforce multiplier, capable of automating complex administrative and analytical tasks and enabling government teams to deliver more with the talent they have. In a region where technology is outpacing workforce capability faster than the global average, autonomous AI systems offer a path to close the gap between ambition and capacity. In this context, Sovereign AI is increasingly functioning as the trust layer that unlocks the adoption of next-generation AI capabilities. By ensuring that agentic and generative AI systems operate within national policy, security, and auditability frameworks, governments can move faster precisely because the right controls are in place from the outset. Skills shortages emerge as the region's most critical constraint Despite strong strategic intent, APJ governments face acute workforce bottlenecks that risk constraining the transition from pilot to production. Nearly nine in 10 organizations report digital skills shortages, and more than half say these shortages are having a major impact on digital initiatives, significantly more so than the global average of 66.8%. The hardest-to-hire roles map directly to Sovereign AI readiness: AI safety and alignment researchers (42.5%), data architecture, management, and analytics professionals (35%), sovereign data governance (30%), sovereign cloud architecture and operations specialists (25.3%), and AI policy and governance specialists (25%). The research findings recommend a four-layer capability model in which governments retain direct ownership of policy, governance, and data stewardship roles while partnering with trusted ecosystem providers for frontier AI specialization and delivery at scale. Mission-critical public services drive investment priorities Governments expect Sovereign AI to deliver the greatest citizen benefit in high-consequence public domains. National security and cyber-resilience top the list at 45.6%, followed by justice and public safety (37.5%), financial and taxation (37.5%), public healthcare (34.4%), social services and welfare (32.2%), education (31.7%), and workforce development (31.1%). Investment decisions are increasingly policy-led. More than half (53.3%) of government leaders cite alignment with national security and sovereign priorities as the top factor in technology investment decisions, followed by security capabilities and reliability of technology providers (52.5%). Four of the top six decision factors are directly linked to sovereignty considerations. Perspectives: "This research confirms what we're hearing from government leaders across "Agentic AI is moving quickly from concept to practical consideration for government and executive decision-makers," said About the study The findings are drawn from IDC InfoBrief, sponsored by Hashtag: #Dell The issuer is solely responsible for the content of this announcement. About Dell Technologies
News Source:
|