What is technological sovereignty?

Along with data sovereignty, artificial intelligence (AI) sovereignty and operational sovereignty, technological sovereignty is one of the four dimensions of digital sovereignty. Rather than seek to abandon cloud infrastructures or reliance on external vendors, tech sovereignty emphasizes an organization’s ability to preserve architectural choice, portability and long-term control.

Prioritizing technological sovereignty aligns with the broader goal of digital transformation in which entities continually adapt technology and processes rather than treat them as static assets. The concept of technological sovereignty applies to both organizations and governments. Enterprises can retain control and choice over their technology environments, while governments can preserve access to strategically critical technologies.

Organizations need not strive for complete technological independence or autarky, meaning that they maximize self-sufficiency through minimizing external dependencies. Rather, tech sovereignty is about maintaining the ability to make and execute technology decisions without unwanted external constraints. Technologically sovereign entities can, in the words of the European Commission, “exercise independence in the digital realm while remaining open and connected to global networks.”

Due to the strategic autonomy it provides, technological sovereignty has evolved from a simple infrastructure choice to a critical risk-management decision. Technological dependencies can become national security concerns when they affect critical infrastructure and systems at the nation-state level.

As groups increasingly rely on external providers for cloud infrastructure, software, AI, networking and other core technologies, this dependence quickly reaches strategic levels of importance.

A technologically dependent entity will face sovereignty concerns when trying to:

• Change providers
  
  
• Migrate workloads
  
  
• Maintain uptime during disruptions
  
  
• Control its technology roadmap
  
  
• Respond to changing regulatory conditions

Tech sovereignty does not require the elimination of external dependencies to preserve strategic autonomy or self-reliance. Instead, the goal is to manage dependencies so that they do not prevent change.

With control and flexibility, entities can experience greater levels of resilience and strategic flexibility, which in turn enhances economic competitiveness.

Technological sovereignty concerns have begun to influence industrial policy at the national and regional levels. Governments seek to balance domestic resilience in strategically important technologies such as semiconductor manufacturing and robotics with the ability to stay connected to global markets.

Domestic investment is not necessarily a move toward autarky. Rather, the goal is often a reduction of critical dependencies to strengthen supply chain resilience in the event of geopolitical disruptions, export controls or regulatory requirements.

For example, the European Chips Act is designed to “boost Europe’s sovereignty and competitiveness in semiconductor technologies.” In June 2026, the European Commission proposed the Chips Act 2.0 to “further boost the chips industry, reduce strategic dependencies and support advanced chip production in the EU.”

Technological sovereignty guides organizations toward retaining the ability to choose, control and change technology such as cloud services and other elements of digital infrastructure. The National Institute of Standards and Technology (NIST) in the US identifies interoperability and portability as important requirements for cloud computing, especially when enabling migration between providers.

The principles of technological sovereignty include:

• Openness: the use of open technologies and standards wherever possible.
  
  
• Interoperability: systems should be compatible across vendors and environments.
  
  
• Portability: organizations should be able to move data and workloads across environments.
  
  
• Modularity: the avoidance of tightly coupled dependencies.
  
  
• Choice: entities should realistically be able to choose between multiple options.
  
  
• Transparency: visibility into core components, dependencies and supply chains helps manage risk.
  
  
• Resilience: technology systems should remain operational through disruptions and provider changes.

In practice, technical sovereignty often requires a careful balance of trade-offs. A 2026 paper by the European Commission cites tensions between domestic regulations and international cooperation, dependency reduction and global interconnectedness and others.

Technological sovereignty can help support the other three dimensions of digital sovereignty by giving organizations more control over the underlying environment.

• Operational sovereignty: When entities use portable, interoperable digital architectures, they retain greater control over how environments are operated. 

• Data sovereignty: Technology choice directly affects where data storage and data processing take place, how data can be moved, how data sharing can be governed and how dependent the entity is on any one vendor.

• AI sovereignty: Open and portable architectures can expand choice over where AI models run and which environments they use for compute and software, helping organizations retain control over AI deployment and inference. 

Interoperability is one of the key mechanisms through which open architectures lead to technological sovereignty. While open architectures set the stage for choice, interoperability makes those choices meaningful in practice.

Even with an open architecture, an organization is not technologically sovereign if it faces a high degree of difficulty when attempting to make changes. For example, an entity with multiple options for digital systems such as cloud services cannot easily make changes if it is mired in proprietary application programming interfaces (APIs) and databases. True tech sovereignty comes from the ability to exercise technology choices with minimal friction.

Regulatory frameworks can encourage technological sovereignty by governing how organizations access and share technology and data. For example, the European Union’s Data Act includes provisions that make it easier for customers to switch cloud providers and improve interoperability.

Open architectures typically use public, standardized specifications and modular components that allow users to mix, swap and upgrade components from different vendors. Open systems eliminate unnecessary dependencies on proprietary technologies and allow for components to be replaced or moved without requiring a complete redesign.

Modular, open architectures lead to greater freedom of choice between technology providers and environments. 

Interoperability allows independently developed technologies to work together. It is typically engendered through communication standards, which is how systems, applications and infrastructure can seamlessly integrate. Interoperability takes an open architecture and makes it usable in practice.

A containerized application might be portable in principle, but if it lacks interoperability with other components in its ecosystem, it is not meaningfully portable. The act of creating an open architecture does not automatically result in interoperability and portability.

Open standards lead to interoperability, which leads to portability. Portable systems give entities meaningful choice, which is how they become technologically sovereign. Some of the technologies powering interoperability include the following:

• APIs enable applications and services to communicate across environments.
  
  
• Containers package applications in standardized formats so they can run on different infrastructures.
  
  
• Kubernetes helps applications run across environments through a shared orchestration layer.
  
  
• Open standards lessen reliance on proprietary formats and interfaces.
  
  
• Hybrid cloud architectures allow organizations to distribute workloads across on-premises, public cloud and private cloud environments. Sovereign cloud services add controls to help address regulatory obligations and other requirements.

Vendor-specific dependencies can make it expensive or difficult for customers to switch providers. As an organization builds increasingly deeply around one or more of these dependencies, it becomes more difficult to switch providers due to significant costs, disruptions and engineering efforts.

Proprietary services aren’t always a bad thing. Many organizations benefit from proprietary services. But when switching providers is not possible without severe costs and effort, dependency can become lock-in.

Dependencies can stem from:

• Proprietary APIs: When applications become dependent on an API from a particular vendor, switching vendors can involve heavy rewriting because developers must adapt to the new APIs.
  
  
• Proprietary data formats: Vendor-specific data formats can make it difficult to transfer data to another vendor. Migration can require data transformation or more complex work such as a total application redesign.
  
  
• Cloud-specific services: While managed services can provide considerable value, relying on them too heavily can result in workloads that depend on a specific provider.
  
  
• Closed platforms: Restricted access to underlying interfaces and code can limit the ability to make changes such as integrating or migrating components.
  
  
• Custom integrations: An ecosystem full of tightly coupled dependencies can make it difficult to replace or modify one without breaking the rest of the application.
  
  
• Technical debt: As outdated workarounds, dependencies and outdated architectural choices accumulate, systems become harder to modify. Technical debt functions as an accumulation of other lock-in factors and compounds the difficulties of migration.

Open source helps “reduce dependencies…and increases control over critical digital infrastructure,” according to the European Commission’s EU Open Source Strategy. With open source software, organizations can achieve greater control over their technology while still participating in global tech ecosystems.

Open source technologies can also help governments and public service organizations maintain control over digital infrastructure while minimizing dependence on private suppliers.

The use of open source technologies helps organizations achieve greater autonomy and control through:

• Vendor independence
  
  
• Inspectable source code
  
  
• Reusability
  
  
• Customization
  
  
• Interoperability
  
  
• Community development
  
  
• Broader supplier ecosystems
  
  
• Longevity

Open source gives users access to technology that isn’t exclusive to any one specific vendor. In their 2025 report on open source in Europe, the Linux Foundation found that 62% of respondents identified reduced vendor lock-in as a primary benefit of open source software.

Organizations and inspectors alike can examine open source code and evaluate it for cybersecurity or reliability risks. Entities need not rely solely on a vendor’s assurances when they can freely inspect software for themselves. “Code is open to inspection.”

Many open source software products are designed for adaptability—organizations can reuse them or build on top of them to suit specific applications. Groups can add to existing components, share improvements and eliminate redundant development work for “…more efficient reuse of solutions.”

Open source licenses often allow for significant modifications, allowing organizations to adjust software as needed. This licensing contrasts with the way many proprietary offerings don’t support similar customization. Entities can dynamically adjust the way they use open source software without having to wait for a vendor to make changes.

However, the high degree of customization also presents its own set of challenges. Organizations must have thorough governance policies in place to prevent custom solutions from becoming overly burdensome. The ability to adapt the software, while not always choosing to do so, is what leads to technological sovereignty.

The use of open source software can support interoperability through shared standards and open technologies. Organizations can more easily build architectures that use components from multiple providers. In their survey, the Linux Foundation found that 54% of respondents in Europe “…believe [open source] investment would most benefit industry standards and interoperability development.”

While open source usually furthers interoperability, one does not automatically lead to the other. Proprietary software can be highly interoperable if it follows open standards, while open software isn’t always easy to integrate.

Many open source projects are built and maintained by international contributor communities. Distributed development can accelerate innovation by bringing collaborators together to identify problems and build on shared work. A 2021 report by the Organisation for Economic Co-operation and Development (OECD) found that open source software can “…enable a more vibrant and diverse commercial ecosystem.”

Open source technology diversifies the pool of organizations who can build on, support or integrate it. Companies can compete in the space surrounding a product, such as by providing support or managed services. A diverse pool of suppliers increases choice and makes it easier for organizations to switch providers without having to adopt new technology.

If a vendor discontinues a proprietary product, users might no longer receive updates and support and will need to find a replacement. Open source software can potentially be maintained by others in the community if the required skills, funding and rights are available.

Technological sovereignty is typically achieved incrementally. Organizations make small architectural and sourcing changes over time that lead to greater freedom and flexibility. Among the most significant challenges and hurdles that entities face when striving for technological sovereignty are:

• Legacy systems: Replacing outdated technology is labor-intensive, time-consuming and expensive.
  
  
• Proprietary dependencies: Switching vendors can require significant engineering efforts, while dependencies on concentrated supply chains can result in similar risks at the national or regional level.
  
  
• Cloud concentration: Reliance on one or a few hyperscale cloud providers can cause strategic dependencies. Multicloud or hybrid architectures can reduce some dependencies at the potential cost of increased complexity.
  
  
• Critical technology supply chains: Concentrated supply chains can introduce vulnerabilities, especially with critical components such as semiconductors and rare earths.
  
  
• Migration costs: Even with viable alternatives available, it can still be too expensive for an organization to change providers.
  
  
• Integration complexity: Without strong standards and architecture, a greater range of technology choices can lead to fragmented environments.
  
  
• Skill shortages: Teams might lack the expertise to design, operate and secure diverse technology environments.
  
  
• Governance and maintenance: To meet regulations and requirements, companies might have to adopt processes to evaluate and secure open source components. Funding to maintain open source projects and mitigate sustainability risks is also a concern.
  
  
• Functionality needs: Provider-specific services can offer significant advantages that outweigh portability considerations. Sometimes, a proprietary solution might be the best choice.
  
  
• Security concerns: Heterogeneous environments can be more difficult to secure.
  
  
• Technical debt: Years of workarounds, legacy systems and tightly coupled dependencies can increase the difficulty of change.

As organizations increasingly embrace AI and embed it into their workflows and processes, they must find ways to do so without becoming overly dependent on vendors and providers. Meanwhile, some regions are beginning to regulate the use of AI. For example, the EU AI Act establishes a risk-based regulatory framework for AI.

AI workloads can increase dependence on compute, data center capacity and specialized infrastructure. Some AI configurations also call for specialized hardware and software frameworks. AI workloads can open the door to new forms of vendor and infrastructure lock-in, especially when applications depend on a single proprietary AI model, API, inference service or other relevant technology.

As such, AI sovereignty encompasses compute, infrastructure and data in addition to the AI models themselves. Data centers and specialized processors such as GPUs or TPUs can become strategic dependencies when choices are limited.

Portability becomes paramount as organizations combine “hyperscalers, GPU-focused cloud providers and on-premises infrastructure” to run AI workloads. Portability also makes it easier to adapt to AI regulations without waiting on a single provider to create an appropriate implementation.

An open, interoperable approach to AI infrastructure design can preserve flexibility and autonomy. Technological sovereignty can support AI sovereignty by giving entities more control over where AI workloads run and on which infrastructure.