In recent months, a topic that should interest every investor and technology expert has been appearing more and more frequently in Washington's political circles: strategic stakes in AI companies. According to information from Newstream, American authorities are considering mechanisms to ensure that key developments in artificial intelligence remain under US control and serve national security priorities.

AI as a Strategic Tool of State Power

The traditional way armies and intelligence services operate is that the state issues a tender and then buys a finished product from a private company. However, in the era of large language models (LLMs), this is no longer sufficient. Developing cutting-edge models such as GPT-4o from OpenAI or Claude 3.5 Sonnet from Anthropic requires billions of dollars in investments in hardware and data centers.

If the state does not have a direct stake in these processes, it risks becoming a mere customer of technology whose development direction it cannot influence. This is particularly critical in the context of cybersecurity. As Ranktracker reports, AI is becoming the primary tool in the fight against sophisticated cyberattacks. The ability to detect threats in real time requires models with extremely low latency and high accuracy — properties that must be developed in constant alignment with defense needs.

Comparison of Technology Leaders in the Security Context

Looking at current models, we see different approaches that have varying significance for state interests:

• OpenAI (GPT series): Currently at the forefront of general intelligence and reasoning capabilities. However, it is closed-source, which can be problematic for covert operations in terms of data control.
• Anthropic (Claude): Focuses on "Constitutional AI," meaning safety frameworks built directly into the model. This is a very attractive parameter for state institutions.
• Meta (Llama): As an open-source model, it offers the greatest flexibility. States can run Llama models on their own hardware without the need to send data to third-party clouds, which is crucial for sovereignty.
• Google (Gemini): Offers a huge context window, enabling the processing of entire document libraries or hours of surveillance video footage, which is ideal for intelligence analysis.

Cybersecurity: Force Multiplier and New Risk

Implementing AI in cyber defense is not just about automation. It is about solving the shortage of experts. Estimates show that millions of qualified professionals are missing in the field. AI acts here as a "force multiplier" — a single specialist with AI tools can perform log analysis and anomaly detection at a scale that previously required an entire team.

However, this technology is also available to attackers. Generative AI enables the creation of highly accurate phishing campaigns and automated malware that can adapt to system defenses. That is precisely why the US is pushing for stakes in technology companies — so they can define "AI Safety" standards before attackers do.

What Does This Mean for Czechia and the European Union?

This development has direct implications for us as well. While the USA is moving toward a model of state investment within the framework of national security, the European Union is focusing on regulation through the EU AI Act. This difference creates tension between the speed of innovation and the protection of citizens' rights.

For Czech companies and developers, this means several things:

1. Availability of tools: Most cutting-edge models (GPT, Claude, Gemini) are available in Czech, enabling their use in local systems. However, for critical infrastructure, Czech companies will need to seek solutions based on open-source models (such as Llama) that can be run locally.
2. Pricing policy: It is important for companies to monitor costs. While basic versions are often free, professional APIs or enterprise subscriptions range from tens to hundreds of USD per month (e.g., ChatGPT Plus costs $20/month). However, with massive deployment in national security, contracts will be in the billions of dollars.
3. Regulatory pressure: Czech companies must be prepared for the fact that American investments in AI may lead to stricter technology export controls, which could affect the availability of the latest models even for European partners.

Conclusion: We are witnessing the transformation of AI from a mere "curiosity" into a key geopolitical asset. The USA is trying to secure its dominance by becoming not only a customer but also an owner of the technological foundation. For us in Europe, this is a challenge of how to balance security with the need for our own technological development.