Omdia: "Sovereign AI" Claims Often Fail to Match Reality, Putting Enterprises at Risk

Omdia recommends that providers address sovereignty for data in transit, not just local hosting.

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New benchmark of 35 providers in 20 countries finds patchy guarantees, weak contracts and a blind spot on data in transit

LONDON--(BUSINESS WIRE)-- The sovereign AI market is booming, but many providers using the "sovereign" label cannot back up their claims, according to new research from Omdia.

Sovereign services- A competency scorecard

Sovereign AI: A Playbook for Success evaluates the terms of service, service level agreements, data processing agreements, privacy practices and certifications of 35 sovereign AI providers in 20 countries. These include frontier AI labs, hyperscalers, data center firms, neoclouds and telecom operators.

Omdia found that sovereignty is often little more than a marketing adjective meaning local assets:

• Almost a third (28%) of providers disclose no proof of sovereignty, and some expect enterprises to pay for audits to verify their claims.
• Eight in 10 contracts state network resilience is out of providers’ control or responsibility.
• Two thirds limit compensation for non-performance to service credits, and vague "best efforts" language is widespread.
• US-headquartered AI providers offer better service transparency and contract terms than a majority of local sovereign AI providers, with providers in India a notable exception.

"No one is regulating who can call themselves a sovereign AI provider, and it shows," said Camille Mendler, Research Director, Telco B2B at Omdia. "Local hosting is not sovereignty. Serious providers must demonstrate their credibility through transparent operations, fair contracts and proof of competence. That includes the network, because data in transit must be sovereign too."

Sovereignty is shifting IT budgets. Up to 45% of large enterprises plan to add or replace an ICT supplier for sovereignty or compliance reasons within 18 months.

One in five large and multinational enterprises already mandates network sovereignty safeguards, and these firms rank telecom operators as their most trusted AI partner.

Small and medium-sized enterprises with skeleton IT teams are potentially most at risk, as few have resources to examine sovereignty claims.

Omdia recommends that providers invest in certification and trust centers, publish separate SLAs for connectivity and AI services, and seek partners that can help fill competency gaps.

What will shape your business in 2027? Explore Omdia’s The Forces Shaping 2027 for research and insights on AI monetization, supply chain disruption, digital sovereignty, and physical AI, and the opportunities and challenges they present for the year ahead.

ABOUT OMDIA

Omdia, part of TechTarget, Inc. d/b/a Informa TechTarget (Nasdaq: TTGT), is a technology research and advisory group. Our deep knowledge of tech markets grounded in real conversations with industry leaders and hundreds of thousands of data points, make our market intelligence our clients’ strategic advantage. From R&D to ROI, we identify the greatest opportunities and move the industry forward.

View source version on businesswire.com: https://www.businesswire.com/news/home/20261014929697/en/

Fasiha Khan: fasiha.khan@omdia.com

Eric Thoo: eric.thoo@omdia.com

Source: Omdia

Key Terms

service level agreements technical

A service level agreement (SLA) is a formal contract that spells out the specific performance promises a service provider must meet—such as uptime, response times, or support availability—and the remedies if those promises aren’t kept. Think of it as a landlord’s lease for a service: it sets expectations and consequences, so investors can judge how likely a business is to keep customers, face penalties, or incur extra costs when operations slip.

data processing agreements regulatory

A data processing agreement (DPA) is a contract that sets the rules, responsibilities and legal safeguards when one party (the data controller) hires another party (the data processor) to handle personal data on its behalf. It specifies what data will be processed, the purposes and duration of processing, security measures, limits on subprocessors, procedures for responding to data-subject rights and breaches, and how data will be returned or deleted at the end of the relationship; it also encodes any requirements for cross-border transfers and audit rights required by privacy laws. A DPA does not transfer ownership of the data but legally binds the processor to follow the controller’s instructions and applicable data-protection law.