AI as a National Strategy: the New Race for Global Power

Artificial Intelligence is no longer just a productivity tool. In just a few years, it has moved beyond curious demonstrations, chatbots, and corporate experiments to occupy a much more sensitive position: the center of nations' economic, industrial, military, and diplomatic strategies. 

This movement is still poorly understood by the market in general. Many companies continue to discuss AI as if it were merely a way to automate tasks, reduce costs, or accelerate internal processes. That is part of the story, but far from the whole story. The most important dispute is already happening at another level. Countries are beginning to treat advanced Artificial Intelligence models as critical infrastructure, a competitive advantage, and an instrument of sovereignty. 

The Anthropic case shows that AI has entered the geopolitical arena 

Anthropic has become one of the central names in this new phase. The company announced a US$65 billion funding round, reaching a post-money valuation of US$965 billion, a level that makes it clear how the market has come to see AI labs as strategic assets of almost national scale. This is not just a valuable company. It is an organization capable of developing models that can influence software, security, research, productivity, defense, education, customer service, data analysis, and decision-making on a global scale. 

It was in this context that models such as Fable 5 and Mythos 5 emerged, drawing attention not only for their technical capabilities but also for the reaction of the United States government. In June 2026, Anthropic itself reported that it had received an export control directive from the U.S. government to suspend access to these models for any foreign national, inside or outside the United States, including foreign employees of Anthropic itself. In other words, people who participated in the ecosystem that made this technology possible could, depending on their nationality, be prevented from using it. 

The restriction was later revised, and access returned partially or gradually in some contexts. But the news itself is less important than the signal it sends. The episode shows that the most advanced AI models have started to be treated as something comparable to semiconductors, energy, telecommunications, defense, and critical infrastructure. When a government interferes with access to a model, the discussion is no longer just about a product, subscription, or API. It becomes a discussion about power. 

The dispute is not over today's model, but tomorrow's advantage 

The specific controversy involving Fable and Mythos is likely to be temporary. Another lab will launch another model; a new restriction may arise; a new country will try to protect a technology; a new company will find an alternative. The AI race does not stop, because the logic of innovation does not respect administrative pauses. 

The central point is not whether a specific model will be available or blocked for a few weeks. The central point is that Artificial Intelligence has reached such a high level of importance that it has already entered the vocabulary of diplomacy, national security, and competition among great powers. 

Governments may try to control access, restrict exports, define rules, classify models, create exception lists, or protect their national champions. But no government will be able to block the sun with a sieve. Technology will continue to advance because there is capital, talent, demand, infrastructure, and competitive pressure on all sides. 

The real dispute is over who can transform AI into national capability. This involves models, chips, energy, data centers, data, talent, companies, universities, regulation, industrial applications, and adoption by the productive sector. The nation that understands this ecosystem before the others creates an advantage that is difficult to catch up with later. 

The U.S. and China have already understood the strategic dimension of AI 

The United States and China are the clearest examples of countries treating AI as a state strategy. The U.S. AI plan highlights innovation, infrastructure, international diplomacy, and security as pillars for maintaining global leadership. This reveals a clear vision: AI is not merely a sector of the digital economy, but a front of national competitiveness. 

China, in turn, had already structured its ambition in Artificial Intelligence with long-term goals, connecting technological development, industry, national security, and international leadership through 2030. The Chinese strategy shows that AI is seen as an instrument of economic modernization, technological autonomy, and influence projection. 

When two of the world's greatest powers treat Artificial Intelligence this way, the rest of the market needs to pay attention. AI is no longer just a corporate choice. It has become part of a new architecture of power. 

France and Canada are also beginning to position themselves 

Although the United States and China are further ahead in this geopolitical interpretation, other countries are already showing signs of movement. France has been strengthening its national AI strategy within the France 2030 plan, with a focus on computing infrastructure, talent, accelerating use cases, and building trustworthy AI. 

Canada has also launched an updated national strategy, with the goal of developing a responsible, safe, and sovereign AI industry and research community. The Canadian document itself recognizes that AI involves productivity, privacy, sustainability, sovereignty, and trust. 

These movements show that the discussion is expanding. Countries that want to preserve competitiveness will need to decide whether they will merely be consumers of foreign models or whether they will build some form of their own capability, even if in specific niches, sectors, applications, or infrastructures. 

The impact on companies: dependence or protagonism 

For companies, this transformation has a direct consequence. If AI has become a strategy for nations, it must also become a business strategy. It is not enough to use a market tool in a one-off way. Companies need to understand where Artificial Intelligence changes processes, products, channels, operating models, cost structures, and delivery capacity. 

Companies that treat AI as just “another technology” risk creating dependency without building competence. They use models, but do not master context; they automate tasks, but do not redesign processes; they test tools, but do not develop architecture; they gain speed in isolated points, but do not create organizational intelligence. 

The challenge now is different. Companies need to learn how to incorporate AI in a structured, secure way that is connected to their strategy. This involves well-organized data, integration with existing systems, governance, application development, workflow automation, team adaptation, and the creation of tailored solutions. In many cases, the differentiator will not be the model itself, but the ability to apply that model to the real context of the business. 

The new competitive advantage will be knowing how to operate with AI 

The next phase will not be won only by those who “use AI”. Everyone will use it. The advantage will belong to those who know how to transform AI into process, product, intelligence, decision-making, and scale. 

In practice, this means Artificial Intelligence needs to leave the experimental field and enter the center of operations. It should support software development, customer service, document analysis, knowledge management, security, maintenance, systems integration, creation of new digital products, and modernization of legacy platforms. 

This change requires more than curiosity. It requires strategy, architecture, and execution. The same applies to countries and companies. Those who have only access to tools will be in a fragile position. Those with the ability to build, adapt, integrate, and govern AI solutions will be much better prepared to compete. 

AI is already infrastructure of power 

The episode involving Anthropic, Fable, and Mythos is only a symptom of something bigger. Artificial Intelligence has started to be seen as infrastructure of power. Whoever masters models, computing infrastructure, data, talent, and applications gains influence. Whoever merely consumes third-party technology becomes more exposed to rules, priorities, and restrictions defined by others. 

This is the major turning point. AI is not only changing companies. It is changing the logic of competition among nations. It is redefining technological sovereignty, productivity, security, and innovation capacity. 

For Brazil and Brazilian companies, the reflection is inevitable. Waiting for the technology to mature may seem prudent, but it can also mean arriving too late. The race will not stop. And in a world where Artificial Intelligence has become a strategic instrument for countries, every organization will need to decide whether it will merely be a user of the transformation or a protagonist of it. 

With 30 years of experience in technology, software development, and innovation, Visionnaire follows this transition closely. As a Software and AI Factory, the company helps businesses transform Artificial Intelligence into concrete, integrated solutions that are applicable to the corporate day-to-day. Because in the new technological race, the differentiator is not only knowing AI. It is knowing what to do with it.