Thursday, March 12, 2026

Asia Pacific firms plan bigger spending on sovereign AI, study finds

More than 60 percent of enterprises across the Asia-Pacific region plan to increase investments in sovereign cloud and artificial intelligence over the next two years, driven largely by national security requirements, data protection rules, and digital-sovereignty goals, according to new research from Accenture.

The study shows particularly strong momentum in Southeast Asia — including Indonesia, Singapore, Thailand, the Philippines, Malaysia, and Vietnam — where 64 percent of organizations expect to expand spending on technologies that allow countries and companies to retain greater control over data, infrastructure, and AI capabilities.

Rather than pursuing full technological independence, most enterprises are leaning toward what Accenture calls a “hybrid sovereignty” approach.

This model combines global hyperscale cloud capabilities with locally governed infrastructure, enabling organizations to comply with regulatory demands while avoiding the high costs associated with building fully sovereign systems and foundation models from scratch.

Governments across Asia Pacific are also moving toward more concrete sovereign-AI frameworks, signaling policy intent even as implementation maturity varies by country.

Early adopters of sovereign AI infrastructure are largely public-sector and heavily regulated industries such as utilities, insurance, healthcare, and energy, where compliance and data-residency requirements are most stringent.

The research indicates that adoption is broadening beyond those sectors. Nearly six in ten organizations across industries are more likely to adopt technologies with sovereign capabilities, while 58 percent plan to increase investment specifically in sovereign cloud environments.

However, most companies still focus sovereignty efforts on data rather than AI models themselves. Around 60 percent of Asia Pacific organizations apply sovereignty controls to data, but only about a quarter extend those measures to AI “intelligence,” highlighting a gap tied to cost constraints and the limited availability of local AI solutions.

Ryoji Sekido, Accenture’s CEO for Asia Oceania and Asia Pacific, said enterprise investment is closely tied to resilience concerns as technology and policy environments evolve.

“Enterprise investment in sovereign technologies is driven by the resilience agenda, with an expected focus on protecting and defending data and infrastructure in a rapidly evolving tech and policy landscape,” he said, adding that clearer rules on data location and system protection can also unlock innovation and allow ideas to scale more safely.

Sekido noted that this shift could create opportunities for regional players, particularly telecom firms and emerging cloud operators.

Kunal Shah, sovereign AI lead for Asia Pacific at Accenture, emphasized that enterprises are not aiming for complete independence.

“Enterprises recognize that full technological independence is neither practical nor desirable,” he said, pointing out that decisions about where infrastructure and workloads are hosted matter more than ownership alone.

He added that sovereign AI can help drive competitiveness by improving AI performance, increasing relevance for local users, and accelerating national industrial AI programs.

In the Philippines, organizations are showing similar motivations, according to Ambe Tierro, Accenture’s country managing director and technology lead.

“Organizations in Southeast Asia are aligned with Asia Pacific’s broader view on sovereign AI, with compliance, data security, and governance as top investment drivers,” she said, noting that growing AI adoption locally could support the country’s national AI agenda and strengthen its innovation ecosystem.

Overall, the findings suggest that sovereign AI is emerging not only as a compliance requirement but also as a strategic lever for digital resilience and regional technology development, with hybrid deployment models likely to dominate the next phase of enterprise adoption.

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