Is Digital Sovereignty Also Economic Sovereignty?

Governments have spent years debating digital sovereignty. Our conversations centre are about data residency, privacy, cybersecurity, and legal jurisdiction. It’s all very important. But I think we are asking too narrow a question. For over a year now, especially in countries like Canada, economic sovereignty also been prominently debated. The two are connected.

Digital sovereignty is not only about where data resides. It is also about where economic value accrues when we use digital means to do anything. And right now, many governments are not asking that second question seriously.

The Economy We Can’t Fully See

In the industrial economy, the relationship between investment and economic outcome was visible. Roads created jobs. Energy infrastructure built expertise. Manufacturing generated tax revenue and domestic capability. The connections were not always simple, but they were traceable. Our digital economy works differently.

Today, organizations run critical operations through cloud platforms, AI services, software subscriptions, digital marketplaces, and global technology ecosystems. These services create real value and they have accelerated innovation faster than most people anticipated.

They also participate in an economic value chain that most organizations have never mapped.

Subscription fees, platform charges, AI inference costs, application marketplaces, and digital services all generate economic activity. The question is not whether these services create value. They clearly do. The question is where that value ultimately accumulates.

Data Is Not a By-Product Anymore

Every digital interaction generates information. Every transaction, search, collaboration session, software prompt, or AI query contributes to a growing body of digital activity. Individually, these interactions seem insignificant but collectively they train models, improve services, create intellectual property, and compound competitive advantage.

Data is no longer a by-product of economic activity. Increasingly, it is part of the value being created.

The problem is that we do not yet know how that value flows. Or where it ends up.​​​​​​​​​​​​​

So… Follow the Money

The pattern shows up across both public and private sectors.

When an organization moves a business process to a cloud platform, it gains real benefits: infrastructure, scalability, resilience, security. Those benefits often justify the investment. But along with the specific organizational benefits come monthly consumption charges. Everyday transactions become part of a global economic value chain. Revenue, platform value, and data-derived insights accrue through structures that may have little to do with where the service is consumed. This is like a transactional tax, and someone you don’t know is collecting.​​​​​​​​​​​​​​​​

AI adds another dimension

Every prompt submitted to a large language model triggers an inference transaction. Individually, the cost is fractions of a cent. At scale, millions or billions of these transactions generate significant economic value. The organizations that own the models, the compute infrastructure, and the surrounding ecosystems benefit from every interaction. As AI adoption accelerates, these micro-transactions become a substantial and recurring economic flow.

The same dynamic runs through software platforms, advertising ecosystems, payment services, and collaboration tools. Each delivers value. Each solves a problem. Each also participates in a network of economic relationships that are largely invisible to the organization consuming the service.

Countries have always participated in global trade and supply chains. That is not the issue. The difference is that digital services generate value in ways that are harder to observe. Unlike physical infrastructure investments, the economic benefit may be distributed across jurisdictions, intellectual property portfolios, and platform ecosystems that are opaque to the end user.

So the question becomes: how much visibility do governments and enterprises actually have into the economic dimensions of their digital supply chains?

As digital leaders, we assess security and privacy risks. We may also conduct due diligence on physical supply chains. We build frameworks for critical infrastructure protection. I’d suggest that comparatively little attention is paid to where digital value accumulates over time, and how dependency on external digital capabilities may affect long-term economic resilience.

The Value Map Nobody Has Drawn

Most organizations can describe their physical supply chains with reasonable confidence. They know where materials originate, who the suppliers are, and where the risks concentrate. Few leaders can do the same for their digital supply chains.

Where are the platforms running your critical business processes headquartered? Where is the underlying intellectual property developed and owned? Which jurisdictions govern the services you consume? Where does the revenue ultimately flow? Who benefits from the data those services generate?

Global technology providers are not acting improperly. Many have become indispensable partners in enabling modernization and innovation.

The point is simpler. Dependence creates relationships and mature relationships require understanding. Technology leaders routinely assess security and operational risk. Economic dependency deserves the same discipline.​​​​​​​​​​​​​​​​

A Governance Model Built for a Different World

Current governance frameworks were designed around institutions that operated largely within national boundaries. That world still exists in law. It no longer fully exists in practice.

Today’s largest technology companies operate across dozens, sometimes hundreds, of jurisdictions simultaneously. They serve governments with different laws, different values, and different policy objectives, and often through the same infrastructure and the same terms of service.

That creates real questions. How do you assign accountability when critical digital infrastructure spans multiple sovereigns? How do you define economic resilience when essential services are delivered through globally integrated platforms? Can existing regulatory frameworks adequately address organizations whose operations, data flows, and economic interests transcend borders?

And perhaps most practically: can a single multinational platform simultaneously advance the policy objectives of dozens of sovereign nations when those interests diverge? Because, at some point, they will.

These questions do not have easy answers. But they are questions that technology leaders and policymakers will need to take seriously.

Let’s Expand the Framing

This is not an argument for technological isolationism - not at all! It is also not an argument that governments should only buy domestic technology.

The benefits of global technology ecosystems are real. Modern cloud infrastructure, AI capabilities, and digital services have genuinely improved outcomes across the public and private sectors.

But as governments invest billions in digital transformation and AI adoption, the conversation about sovereignty needs to expand.

We have spent years building frameworks for data control, privacy, and jurisdictional protection. Those frameworks will remain essential. What has received less attention is the economic dimension: where value is being created, where it accumulates, and how those dynamics shape long-term national resilience.

Digital sovereignty protects a country’s ability to govern. Economic sovereignty protects its ability to prosper.

Those two things are more connected than most digital strategies currently acknowledge. It may be time to close that gap.

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This article is intended to raise questions rather than provide definitive answers. As governments, businesses, and citizens become increasingly dependent on digital ecosystems, understanding where value is created, captured, and retained may become an important complement to existing discussions about digital sovereignty, security, privacy, and resilience.