Asia Pacific Governments Elevate Sovereign AI to Second-Highest Investment Priority Amid Critical Skills Shortages

SINGAPORE – A recent study commissioned by Dell Technologies and conducted by the International Data Corporation (IDC) indicates a significant shift in the priorities of governments across the Asia Pacific (APJ) region regarding artificial intelligence (AI). The research reveals that Sovereign AI has surged to become the second-highest investment priority for these governments, moving up from seventh place within just one year.

The study surveyed 360 government IT decision-makers across eight APJ markets, highlighting a transition from mere exploration of AI technologies to structured activation of Sovereign AI. This change reflects a growing recognition among public sector leaders that AI is not merely a technological upgrade but a critical component of national digital infrastructure.

Transition from Awareness to Activation

The findings indicate that nearly half (46.1%) of the surveyed governments are actively evaluating Sovereign AI technologies, while over a third (36.1%) are conducting initial proofs of concept. This proactive approach is underpinned by a strategic rationale: more than three-quarters (76.9%) of government leaders believe that investing in Sovereign AI will bolster their agencies’ resilience against geopolitical risks and supply chain disruptions.

Despite this momentum, the actual investment levels remain low, with only 3.1% of respondents reporting significant investments in Sovereign AI. Furthermore, a mere 1.7% indicated that they have no plans to adopt these technologies.

Governments in the region are pursuing a strategy of “selective sovereignty,” which involves maintaining control over sensitive data and critical systems while leveraging global technology ecosystems for innovation. Hybrid models that combine on-premises infrastructure with sovereign cloud environments are emerging as the preferred deployment strategy.

Confidence in Agentic AI as a Catalyst

The study also reveals that government leaders across Asia Pacific are overwhelmingly optimistic about the role of agentic AI in accelerating AI adoption within the public sector. An impressive 99% of leaders view agentic AI as a catalyst for this acceleration. Among them, 36.9% believe it will play a significant role, while 62.1% express strong confidence in its potential when supported by robust governance frameworks. Only 1.1% of respondents remain uncertain about its impact.

This confidence is not merely theoretical; it is driven by operational needs. Nearly 90% of government organizations report critical digital skills shortages, making agentic AI a practical solution for automating complex tasks and enabling teams to achieve more with existing talent. In a region where technological advancements are outpacing workforce capabilities, autonomous AI systems present a viable pathway to bridge the gap between ambition and capacity.

Sovereign AI is increasingly viewed as the foundational trust layer that facilitates the adoption of next-generation AI capabilities. By ensuring that agentic and generative AI systems operate within established national policies, security protocols, and auditability frameworks, governments can expedite their AI initiatives with the assurance that appropriate controls are in place.

Skills Shortages: A Major Constraint

Despite the strategic intent to adopt Sovereign AI, APJ governments face significant workforce challenges that threaten to hinder the transition from pilot projects to full-scale implementations. Nearly 90% of organizations report digital skills shortages, with over half indicating that these shortages are significantly impacting their digital initiatives—this is notably higher than the global average of 66.8%.

The most difficult roles to fill are directly related to Sovereign AI readiness, including positions for AI safety and alignment researchers (42.5%), data architecture and management professionals (35%), sovereign data governance experts (30%), sovereign cloud architecture specialists (25.3%), and AI policy and governance specialists (25%).

The research advocates for a four-layer capability model, wherein governments retain direct control over policy, governance, and data stewardship while collaborating with trusted ecosystem providers for specialized AI expertise and large-scale delivery.

Investment Priorities Driven by Public Service Needs

Governments anticipate that Sovereign AI will yield the greatest benefits in high-stakes public domains. National security and cyber-resilience are the top priorities, cited by 45.6% of respondents, followed by justice and public safety (37.5%), financial and taxation services (37.5%), public healthcare (34.4%), social services and welfare (32.2%), education (31.7%), and workforce development (31.1%).

Investment decisions are increasingly influenced by policy considerations. More than half (53.3%) of government leaders cite alignment with national security and sovereignty priorities as the primary factor in technology investment decisions, followed closely by the security capabilities and reliability of technology providers (52.5%). Four of the top six decision-making factors are directly linked to sovereignty.

The findings underscore a clear message from government leaders: the focus is no longer on whether Sovereign AI is important, but rather on how to operationalize it effectively at a national scale.

Source: www.zawya.com

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Published on 2026-05-13 05:06:00 • By the Editorial Desk