Digital dependencies are no longer a peripheral IT concern. As cloud applications, systems, platforms, and AI have become core components of digital value creation, technological dependencies and the associated risks have grown along with their importance. Digital sovereignty thereby becomes a management responsibility.
Organizations have increasingly shifted their business-critical processes, data, and capabilities to cloud platforms and digital ecosystems. This has accelerated innovation and simplified access to new technologies. At the same time, however, new dependencies have emerged, and their strategic significance needs to be reassessed.
Cyber risks, regulatory requirements, geopolitical tensions, vendor lock-ins, and rising switching costs are colliding with highly concentrated technology markets. What may initially appear to be an IT architecture issue can therefore have a direct impact on value creation, competitiveness, and operational agility.
To address this, organizations need to identify their critical dependencies, assess their implications and economic impact, and actively manage them before immediate action becomes necessary.
Digital sovereignty is often equated with data localization, European cloud providers, or moving away from international hyperscalers. This perspective falls short.
Global technology providers and specialized partners remain important drivers of innovation, scalability, and competitiveness. Digital sovereignty therefore means neither technological isolation nor maximum independence. Rather, it is about creating transparency around critical dependencies and managing them deliberately: Where does the company itself need control, exit capabilities, or alternative options, and where does dependency make economic sense because it provides access to innovation and specialized capabilities?
Sovereignty therefore means creating robust strategic options wherever dependencies could materially affect value creation, competitiveness, or operational agility. Not everything has to be European or fully independent. But wherever a dependency could become existential, viable alternatives are needed.
This becomes particularly evident in how companies manage data. Where it is stored and processed remains relevant, but the location of a data center is not enough to assess digital dependencies.
Operator structures, access rights, legal jurisdictions, contractual relationships, switching options, and the degree of actual control over business-critical data and digital capabilities are just as important. A data center located in Europe does not automatically mean that all associated legal or technological dependencies are also limited to Europe.
At the same time, regulatory requirements relating to critical third parties and concentration risks continue to increase. Organizations must therefore place greater emphasis on understanding the extent to which business-critical services depend on individual providers and what options for action remain available if conditions change.
As AI adoption accelerates, so does the need for action: Organizations no longer just source infrastructure and software from external providers, but are integrating AI models and agent-based solutions directly into business processes, decision-making, and value creation.
This creates new dependencies on models, data access, platforms, and proprietary ecosystems. At the same time, the question arises as to which capabilities should remain in-house, and which can be deliberately sourced from a partner ecosystem. Digital sovereignty therefore extends far beyond cloud infrastructure and data storage.
A sound strategy begins with an organization's business-critical processes and value streams and with the question of which technological dependencies materially affect their ability to function.
It examines digital sovereignty from three interconnected perspectives:
Data, Technology & AI: How do critical data, models, platforms, and technologies remain controllable and replaceable?
Operations, Cyber & Third Parties: How resilient are business-critical services, and which dependencies on external providers exist?
Talent, Operating Model & Ecosystem: What capabilities, decision rights, and organizational structures are required to manage these dependencies effectively?
Only this holistic perspective reveals where technological dependencies genuinely affect an organization's strategic agility.
Digital sovereignty therefore describes the management responsibility of proactively governing and steering critical technological dependencies. Strategic Digital Resilience is the desired outcome: maintaining the ability to act even when regulatory, geopolitical, technological, or operational conditions change. To get there, organizations need to understand their critical dependencies and the corresponding implications, evaluate their economic impact, and manage them deliberately before the pressure to act becomes acute.
Greater independence is not automatically better. Additional providers, portable architectures, or in-house capabilities can create valuable strategic options for action, but they also generate costs and complexity. Conversely, dependencies can offer economic benefits through scale or access to specialized technologies.
The management responsibility is therefore to define the appropriate level of ambition from a business perspective and to incorporate critical dependencies into strategic technology and transformation decisions at an early stage. Digital sovereignty should not be viewed as a one-time technology initiative. Rather, it is an ongoing discipline that requires economic assessment and continuous management to safeguard long-term strategic agility.
Zierhofer, R.
