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In the era of AI, when automation is becoming a competitive advantage and data is the new raw material, global developments will be determined by two key trends. States will fight for AI sovereignty, while LLM providers will compete for leadership in building infrastructure based on AI agents. What does this mean for business?
More and more countries are strongly declaring the strategy of AI sovereignty as a necessity. And this is not just an opportunity to maintain control over critical technologies and state data for national security purposes. This is about the competitiveness of states in a global context. For example, Germany aims to double its data center capacity and quadruple state-level AI processing by 2030. In turn, France has announced billions in investments in AI infrastructure — the most ambitious sovereign AI program outside the US and China.
Within a single country, this forms a complete national AI stack:
When all these elements are concentrated in one country, it will be possible at the state level to control national security and data leaks, strengthen cybersecurity, and minimize the distortion of information flows — which is extremely important against the backdrop of global geopolitical instability and information warfare.
The national level always sets the framework for business. When countries invest billions in AI infrastructure, it signals to companies that decision-making speed and data access are becoming key competitive advantages.
LLM providers are no longer just competing over model quality — they are building a new infrastructure where AI agents become the primary interface for any system using tools. These tools are sets of external functions or application programming interfaces (APIs) that an AI agent can execute to take action and even interact with other agents.
While AI previously could only reason, today it has the “hands” to perform specific tasks in a given role. For instance, in the role of an assistant who can not only analyze documentation, but also perform a series of actions: recognize documents, enter them into a specific registry or database, enrich them with key information, or issue an invoice attached with an acceptance certificate. And all of this without human oversight.
With the growth of generative AI, Ukrainian businesses have already gained significant experience in scaling these technologies. According to our team’s observations and project analysis, over the past six months alone, the deployment of such AI assistants in enterprises has grown by 56%.
Practical experience in integrating AI assistants into corporate systems proves that they work effectively across various functions — from HR and logistics to contract management, accounting, finance, procurement, and security. AI assistants with specific roles perform work with higher quality and precision precisely due to their clear focus, narrow context, and specialization. For example, AI assistants that analyze only tender documentation identify key requirements more accurately, while those working with financial data are better at detecting anomalies. Now, imagine an ecosystem where these agents perform clearly defined roles and interact directly with one another.
Today, an AI-first strategy is not about adapting — it is about the ability to shape demand through innovation and stay ahead of the market. That is why business leaders need to grasp and navigate the global context of the changes that lie ahead.
