The use of technology policy to advance national economic and security interests, also known as tech nationalism, is no longer a distant geopolitical trend. It is becoming a direct operating constraint for CIOs — and it’s far more involved than many CIOs realize.
Vendors aren’t much help in clearing the confusion, as they tend to blur three key concepts that CIOs need to separate, said Collin Hogue-Spears of Black Duck — data residency, data localization and data sovereignty.
“Data residency means your data physically sits in Germany [for example]. Data localization means German law requires it to stay there. Data sovereignty means no foreign government can compel access to it — and that’s where everything breaks down,” said Hogue-Spears, public cloud compliance leader and senior director of product management at Black Duck, a security provider.
Complying with different international laws
Consider that the U.S. CLOUD Act empowers American law enforcement to demand data from any U.S.-headquartered company, regardless of where it’s stored. Now think what that means to CIOs after a Microsoft executive told the French Senate in July 2025 that they cannot guarantee protection from CLOUD Act requests, even with their own EU Data Boundary offering.
That means “you’re paying 15-30% more for infrastructure that answers the ‘where does it live’ question, while leaving ‘who can access it’ wide open,” Hogue-Spears explained.
Additionally, governments are asserting greater control over semiconductors, cloud infrastructure, AI models, and cross-border data flows, turning once-routine IT decisions into strategic choices shaped by regulation, security priorities, and geopolitical risk.
For enterprise leaders, this means their technology strategy is no longer borderless. Vendor selection, architecture, and data governance decisions must now also account for export controls, sanctions exposure, sovereignty requirements, and supply chain disruptions.
“This matters a lot when you’re deciding where to put your cloud infrastructure, who gets access to data, and which vendors to work with,” said Daniel Herszberg, a doctoral researcher at the University of Oxford whose work centers on law and political power, with a particular focus on the Greater China region.
Such a fragmented global tech landscape requires CIOs to juggle the need to modernize systems with the equal need to build resilience, in an era where politics increasingly dictates the limits of the stack.
The challenges are formidable in navigating the rapidly fluctuating differences in both definitions and goals between nations and global companies. It is undeniable that it’s “an increasingly unpredictable world,” said Andreas Prins, global head sovereign solutions at SUSE, who added that their “global customers rank digital sovereignty as one of their main priorities.”
Sovereign cloud pros and cons
One of the clearest consequences of tech nationalism is the rise of sovereign cloud infrastructure. A sovereign cloud aims to help an organization meet its digital sovereignty goals in terms of data residency, data privacy, and operational control. In short, it aims to ensure that sensitive data remains within specific geographic boundaries, complies with local regulations, and stays under the jurisdiction of domestic laws rather than in reach of any foreign governments.
To achieve this, sovereign clouds typically offer physically isolated infrastructure that is located well within a specific country’s borders. These clouds are also often operated by local entities or through partnerships that limit foreign access to data and systems.
In theory, sovereign clouds are effective at meeting compliance requirements and providing some legal protection, which is why they are in high demand by government agencies, critical infrastructure operators, and highly regulated industries like finance and healthcare. However, in practice their effectiveness varies considerably, with only some providing truly isolated environments with domestic-only operations.
If deployed comprehensively, the pros in using sovereign clouds include:
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Enhanced regulatory compliance.
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Reduced foreign surveillance risks.
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Greater control over data governance.
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Alignment with national security interests.
These clouds can also foster domestic technology ecosystems and reduce dependence on foreign providers, making them especially appealing to nations seeking their own data or AI sovereignty.
The cons, meanwhile, include:
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Significantly higher costs.
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Slower innovation cycles compared to global hyperscalers.
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Limited geographic redundancy options.
Lock-in, fragmentation and exit risks
Vendor lock-in risks are much higher with sovereign clouds, and there is high potential that the isolation might hinder collaboration with international partners.
Exiting sovereign clouds can also be problematic. For example, organizations operating in China will find “exiting a contract does not mean exiting the governing regulatory framework, as data localization rules, regulatory reporting obligations, technical configurations and questions of government access will likely remain in place even if you, say, for example, replace your provider,” explained Herszberg.
“Over time, actors may find themselves facing a form of gradual regulatory lock-in, as operational choices narrow quietly and spill over into procurement, interoperability with external systems, and limits on strategic autonomy beyond China,” Herszberg added.
A cost amplifier complicates the situation further. Fragmentation tops the list of operational and strategic challenges CIOs face when dealing with sovereign clouds, according to Kevin Miller, CTO of IFS North America, a leading global provider of Industrial AI software.
“Maintaining separate technology stacks by country increases cost and creates operational drag,” Miller explained.
The situation is predicted to grow costlier and more painful for CIOs over time. By 2028, 60% of multinational firms will split their AI stacks across sovereign zones, probably tripling integration costs in the process, according to Mark Minevich, president of Going Global Ventures (GGV), a New York-based investment, technology, and strategic advisory firm.
Best practices for sovereign clouds
The concept of sovereign clouds is still evolving, mostly because the driver behind its adoption is something completely new. At its core, sovereign cloud adoption is an effort to regain control over the company and its operations.
“Enterprises are no longer simply trying to keep up with regulators; they’re on a mission to achieve autonomy,” said Utpal Mangla, vice president of Sovereign Cloud at IBM.
“What was once a regulatory concern focused on compliance is now a strategic priority centered around control, resilience and long-term competitiveness,” Mangla added.
Best practices for sovereign clouds, at least thus far, focus on maintaining overall agility and security, particularly with respect to the ability to move your data quickly when the need arises.
“True security comes from transparency and control over your data, including the ability to exit an existing setup. Raising this issue at the board level is crucial to make it a company-level security and business continuity conversation,” said Kim Larsen, CISO at Keepit, a provider of security protection for cloud and company data.
Larsen added that CIOs might also want to look into the ownership of their infrastructure, where metadata is processed, and operational processes, with regards to ownership of hardware and solutions.
The best approach is to design for interoperability, according to Mark Townsend, Co-Founder & CTO at AcceleTrex. Keep sensitive workloads in sovereign environments as required, he added, “but maintain a portable architecture, containers, API first services, and strong identity layers, so you’re not locked into a single national ecosystem.
“Some vendors are now using AI driven dependency mapping to show exactly which workloads can safely move, reducing both risk and over compliance,” Townsend said.
The future of tech nationalist strategy
Amid so much complexity, the path forward may seem unclear — but CIOs cannot delay on this issue. Minevich points to rapid developments that have already taken place: the EU’s launch of its own sovereign cloud; AWS’s European Sovereign Cloud which went live in January 2026; and the ongoing work in Saudi Arabia, the UAE, and India, with each country building national AI stacks from the ground up.
To navigate this terrain, CIOs may need to wear a few different hats or appoint someone specifically to address this challenge.
“Designing AI systems that comply with competing regulatory regimes in the EU, U.S., China, and the Gulf simultaneously requires a new hybrid role, which is part geopolitical strategist, part cloud architect, part compliance expert,” said Minevich. “I think of it [the new role] as the ‘air traffic controller’ for AI across borders.”
Despite different terminology like digital sovereignty or autonomy, “the underlying driver is universal: business resilience,” said Prins. “Companies want greater independence and control over their own destiny, and they’re recognizing that their IT stack directly impacts their ability to achieve that.”
