AI factories and data centers move to center Stage: can Poland secure a place in Europe’s next tech race?
Artificial intelligence is rapidly shifting from a business add-on to core economic infrastructure, driving a surge in demand for computing power, data storage and resilient cloud services.
At the European Economic Congress in Katowice, leaders from industry, government and academia are set to debate how so-called AI factories and modern data centers can underpin competitiveness and security.
The discussion comes as Europe tries to accelerate domestic capacity for advanced AI, while limiting strategic dependence on a small number of global providers. For Poland, the stakes include whether the country becomes a builder of the region’s AI backbone or remains mainly a consumer of technologies developed elsewhere.
Why AI factories matter now?
AI factories are increasingly used to describe large-scale environments for training and deploying AI models, combining high-performance computing, specialized chips and energy-intensive data infrastructure.
As more firms move from pilots to industrial deployments, access to scalable compute is becoming a bottleneck for sectors from manufacturing to finance.
That scaling challenge is now inseparable from energy planning and investment cycles, because modern AI workloads can require vast electricity and cooling capacity. Across Europe, policymakers and operators are also prioritizing redundancy and continuity planning as geopolitical and supply-chain risks translate into technology risk.
Data sovereignty meets business reality
In Katowice, one of the key questions is who should store and process sensitive data, and under what governance rules, as companies expand cloud use and adopt AI tools.
The debate is sharpened by the EU’s AI Act, which introduces risk-based obligations for certain AI systems and increases compliance expectations for businesses operating in Europe.
Industry figures increasingly frame the issue as resilience as much as regulation, warning that over-reliance on a single provider can expose firms to outages, contractual shocks or access restrictions.
This is fueling interest in diversified architectures, regional cloud capacity and stronger public-private coordination around critical digital services.
Poland’s opportunity, and its gap
Poland has strong technical talent and a growing data-center market, but faces a race to secure investment, grid capacity and predictable rules that can support large-scale compute.
The country is also seeking a clearer role in Europe’s wider push for AI infrastructure, including initiatives aimed at expanding supercomputing and industrial AI capabilities.
At the congress, panels focused on Poland in the AI race are expected to examine barriers such as access to high-quality data, uneven digitization across sectors and limited scale compared with global leaders.
Supporters argue that catching up is still possible if infrastructure, skills and commercialization efforts move faster and in sync.
With AI increasingly embedded in everyday services and workplace tools, the conversation in Katowice reflects a broader shift: the competitive edge is no longer just about algorithms, but about who controls compute, data and reliable capacity.
For Poland and Europe, the next phase of AI may be decided less in labs than in data halls, energy systems and investment decisions made now.
