Published on the 04/08/2026 | Written by Heather Wright

Sovereignty offerings reshaping, not removing, dependency…

Sovereign AI may not mean what many organisations think it does – and may actually drive vendor lock-in.

That’s according to new analysis from the Stanford Institute for Human-Centred Artificial Intelligence, which examined sovereignty initiatives from Microsoft, Google, AWS, Nvidia and OpenAI and concluded that while they can increase domestic control over infrastructure, data governance and model deployment, they often ‘reconfigure, rather than eliminate dependence on these companies’.

“The tools also ensure these countries will remain structurally dependent on them for the long-term.”.

The Commercial Landscape of AI Sovereignty Offerings report notes there is no shared definition of what sovereign AI actually means and that many commercial offerings marketed as sovereign remain heavily dependent on the global technology companies providing them.

The rise of sovereign AI

The researchers describe AI sovereignty as one of the defining concepts in global AI development, saying it has rapidly become a central concept in global tech policy.

Countries around the world are looking to reduce dependence on a small number of foreign tech providers, while maintaining access to advanced AI capabilities. The result has been a wave of investments, programs and products marketed around sovereignty as commercial vendors have moved quickly to capitalise on demand.

One problem, according to the report, is that nobody agrees on precisely what sovereignty means. For some organisations it means local ownership of infrastructure. Others associate it with data residency, domestic AI models, supply chain security or national technology capability.

“The term is invoked to describe everything from investing in national language model projects to establishing domestic chip manufacturing capabilities to implementing data localisation requirements,” the researchers note.

That ambiguity has created fertile ground for vendors eager to position themselves as sovereignty partners.

Sovereignty as a service

The report maps a growing commercial market for sovereign AI offerings across every layer of the tech stack.

Hyperscalers including Microsoft, Google and AWS have developed products aimed at customers with sovereignty requirements, while opening local facilities and pushing them as ‘sovereign’. Nvidia has promoted sovereign AI infrastructure initiatives, while OpenAI has increasingly become part of government and national AI discussions.

Gartner has forecast global sovereign cloud infrastructure-as-a-service spend to increase 35.6 percent this year, hitting US$80 billion as organisations outside the US and China invest more in sovereign cloud IaaS to gain digital and technological independence and keep wealth generation within their own borders.

The Stanford researchers acknowledge that these offerings can provide genuine benefits. Many increase customer control over where data is stored and processed. Others offer governance controls designed to address regulatory requirements or support local deployment models.

But the report says the initiatives also present a ‘fundamental paradox’. “They promise that countries will own their AI stack, but at the same time they deepen dependencies on US big tech.

“While the tools these companies sell under the banner of sovereignty may genuinely improve purchaser countries’ control over certain aspects of AI development and deployment, they also ensure these countries will remain structurally dependent on them for the long-term,” the researchers wrote.

It notes that adopting Nvidia’s sovereignty offerings to power your entire AI stack could reinforce vendor-lock-in as migrating to rivals would bring high switching costs, and extensive code rewrites. OpenAi’s sovereignty offerings, meanwhile, may increase localised access to cutting-edge models, but they don’t allow for inspecting or modifying underlying systems. The close ties between OpenAI for Countries and the US government also poses risk in becoming bound to US interests.

A familiar argument

The findings echo arguments previously raised by locally-owned cloud providers and digital sovereignty advocates. They have long argued that data residency and sovereignty are not the same thing, despite hyperscalers heralding new local builds as providing ‘true digital sovereignty’. Storing workloads on infrastructure owned by multinational vendors is not the same as maintaining sovereign control, even when the workloads are hosted within national borders, they note.

Keeping data within national borders may satisfy regulatory requirements, but it does not necessarily change who owns the infrastructure, controls the platform, develops the software or sets the commercial terms.

That debate has intensified as AI has moved into the mainstream.

An organisation may deploy AI workloads in-country. Data may remain within Australia or New Zealand. Governance controls may be managed locally. Yet the underlying foundation model, cloud platform, chip architecture or software stack may still be owned and operated elsewhere.

Sovereignty vs self-sufficiency

The report notes that few sovereignty initiatives actually aim for complete independence. Instead, they focus on increasing control over parts of the AI stack while maintaining access to global technologies and supply chains.

The researchers found that even providers marketing sovereignty solutions often rely on internationally developed infrastructure, hardware, software frameworks and AI models. Complete technological independence remains rare.

As a result, sovereignty is increasingly being framed as a question of strategic diversification rather than autonomy.

That perspective may be particularly relevant as Australia continues to invest in sovereign technology capability. Federal and state governments have increasingly highlighted AI capability, digital resilience and local infrastructure as strategic priorities, while vendors have responded with a growing range of sovereignty-focused offerings.

The Stanford report does not argue against those efforts. Instead, it suggests the conversation is more nuanced than the marketing often implies.

“Decision-makers should avoid treating sovereignty as an end goal and prioritise solutions that expand strategic choice without losing access to frontier capacity,” the report says.