Poland is positioning itself as a serious contender in Europe’s race to build sovereign artificial intelligence infrastructure, with plans to establish a large-scale AI gigafactory under the European Union’s Invest AI initiative. The project is intended to be one of only a handful of such facilities across the EU and would significantly strengthen Europe’s independent computing capacity.

According to Dariusz Standerski, Poland’s Deputy Minister of Digitalization, the government is moving steadily toward a formal bid, and the goal for submitting the final application is set at the beginning of next year.

Poland’s proposal goes beyond national ambitions. Warsaw is actively seeking regional partners to reinforce the project’s scale and political weight.

“I am meeting with the Czech Minister for Artificial Intelligence to discuss expanding the Baltic AI Gigafactory and the possibility of a joint project,” Standerski said, pointing to a broader Central and Baltic European cooperation model.

Public–Private Partnership as a Strategic Choice

A defining element of the gigafactory plan is its public–private partnership structure. Rather than treating EU funding as the sole objective, the government wants to create a durable ecosystem that aligns state goals with private investment incentives.

Crucially, the project is designed to move forward even if EU co-financing does not materialize. Under the proposed model, access to computing power would be directly linked to financial contributions, a mechanism intended to make private participation commercially attractive and predictable.

Strong Interest, Cautious Commitments

Interest from companies has been significant. The ministry received hundreds of expressions of interest from Poland and across the EU. They received 275 applications, including 148 from Poland.

These entities were grouped into different roles, such as technology providers, investors, and ecosystem partners. However, many companies were initially reluctant to define firm financial commitments, largely due to uncertainty surrounding the European Commission’s final rules for the program.

This hesitation reflects a broader challenge: enthusiasm for AI does not always translate into readiness to invest substantial capital.

Building AI Capacity Before the Gigafactory

To avoid delays, Poland is already developing an interim AI infrastructure that can support research and industry before the gigafactory becomes operational.

“We want computing power to be temporarily stored and used in existing centers, and once the gigafactory is operational, to consolidate everything in one place,” Standerski explained.

Smaller AI facilities, including an AI factory in Poznań and a planned center in Kraków, are meant to provide early access to computing resources, build domestic expertise, and demonstrate practical use cases.

The Core Challenge: Private AI Investment

Despite ambitious plans, Poland still lags behind much of the EU in terms of private-sector AI investment. Standerski suggested that risk aversion may be a key factor.

He compared AI adoption to earlier technological shifts, such as cloud computing, where many Polish firms were slow to invest. The government hopes that shared infrastructure, education, and early success stories will gradually change business attitudes.

A Strategic Bet on AI Sovereignty and Talent

Taken together, Poland’s AI strategy reflects a broader European push toward technological sovereignty. The gigafactory is about raw computing power and about creating a collaborative ecosystem that links public policy, private capital, and regional cooperation.

Whether Poland ultimately secures EU funding may matter less than whether it succeeds in mobilizing its private sector. As the government’s message makes clear, the infrastructure can be built, but its long-term success will depend on how quickly businesses decide that AI investment is no longer optional.

When that happens, a solid base of technical expertise will be essential. Fortunately, Poland has long been recognized for the strength of its engineering talent, including highly skilled engineers, data scientists, and software developers, many of whom already work on advanced AI systems for global technology companies.

Polish specialists are strongly represented in fields such as machine learning, natural language processing, and computer vision, supported by top-tier technical universities and a rapidly growing startup ecosystem.


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