Written by Julien Ricciarelli-Bonnal

2 June 2026

Artificial Intelligence is becoming a matter of economic sovereignty

For a long time, discussions surrounding artificial intelligence focused primarily on productivity, automation and the future of work. Companies were mainly trying to understand how these new tools could help them save time, improve performance or streamline everyday operations.

But as AI becomes increasingly integrated into organizations, another question is beginning to emerge. A less visible question, yet potentially far more strategic: what happens when most of the tools used by businesses depend on a handful of foreign technology providers?

Today, a significant portion of the world’s AI ecosystem is controlled by American companies. OpenAI, Google, Anthropic, Microsoft and Meta occupy a central position in the global landscape. As a result, businesses, governments and institutions are gradually beginning to question the extent of their technological dependence.

An unprecedented concentration of technological power

Recent digital history has already shown how certain infrastructures can become highly concentrated. Search engines, social networks, cloud computing and operating systems have all evolved toward environments dominated by a limited number of global players capable of setting standards for entire markets.

Artificial intelligence appears to be following a similar trajectory. The most advanced models, the largest computing infrastructures and a substantial share of investment are concentrated among a relatively small group of companies.

This concentration is not necessarily problematic in the short term. However, it raises a legitimate question: what happens to an organization’s autonomy when increasingly critical functions rely on technologies it does not control?

AI is no longer just another tool

For some time, many businesses will continue to view AI as an additional technological layer. A writing assistant, an analytics engine, a productivity tool or a decision-support system.

Yet the current evolution suggests that these technologies may gradually become fundamental components of economic activity itself. Content production, data analysis, customer support, software development, sales assistance and research workflows are already being transformed at remarkable speed.

As these systems become deeply embedded in business operations, questions regarding their origin, governance and long-term control naturally become more strategic.

A matter of sovereignty as much as technology

The issue extends far beyond technical performance alone. Behind discussions about model capabilities lie broader economic, industrial and geopolitical considerations.

Many countries are actively investing in domestic digital infrastructure, data centers and technological capabilities. Artificial intelligence is increasingly becoming part of a wider debate about economic sovereignty and strategic independence.

The goal is not necessarily to replace American technology leaders, whose advantage remains considerable. Rather, it is to reduce certain levels of dependence and preserve the ability to act independently in a world where technology is becoming a major source of economic power.

Companies are beginning to ask the right questions

This reflection is no longer limited to governments and institutions. Businesses themselves are increasingly examining their long-term technological dependencies.

Questions are becoming more common: where is our data processed? Who controls the infrastructure? What happens if access conditions change? How can we reduce the risks associated with excessive concentration among technology providers?

These concerns do not diminish the enormous value of current AI systems. They simply reflect a growing awareness that artificial intelligence is no longer only an innovation issue. It is becoming a matter of governance, resilience and strategic risk management.

This is precisely why discussions around AI for Business now extend far beyond the simple adoption of tools. Organizations must think carefully about how they integrate these technologies while maintaining a long-term strategic perspective.

At the same time, many of these questions increasingly intersect with broader issues of Marketing Expertise, particularly as AI begins to influence visibility, customer acquisition, communication strategies and competitive positioning.

A debate that is only beginning

Artificial intelligence will likely continue to transform businesses over the coming years. The potential gains in productivity, analysis and automation remain extraordinary.

But as these technologies evolve into critical economic infrastructure, concerns about technological dependence will inevitably become more important.

Because behind conversations about prompts, AI agents and the latest models lies a more fundamental question: who will ultimately control the digital infrastructure on which a significant part of tomorrow’s economy will depend?