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Aug 7, 2025  |  
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Olena Mukhina


Ukraine’s AI Factory sets course for global top 3 by 2030

With battlefield-born digital expertise, Kyiv now eyes global leadership in the next great technological race.
AI Data Jam in Kyiv. Credit: Ministry of Economy of Ukraine
Ukraine’s AI Factory sets course for global top 3 by 2030

By 2030, Ukraine aims to become one of the world’s top three leaders in artificial intelligence technology. Minister of Digital Transformation Mykhailo Fedorov says the launch of AI Factory, an advanced state hub for building AI infrastructure, is a major step toward this ambitious goal

Ukraine is an advanced country in digital public services, particularly within the framework of state digital transformation. Ukrainians actively use local digital platforms such as Diia (digital documents and public services), Tryvoha (air raid alert system), and Helsi-Me (online healthcare). By 2026, 32% of public services are expected to be fully digitalized.

AI Factory: The start of Ukraine’s new digital era

“Our mission is to rank among the top 3 countries in AI development and implementation by 2030,” Fedorov said at the project presentation.

According to him, AI Factory will be Ukraine’s first large-scale project for AI tech infrastructure.

Soon, Ukraine will have cutting-edge hardware and software that will enable the training of AI models and the creation of national AI solutions, from public services to defense systems.

Ukrainian AI will begin with Diia and expand to medicine

The AI Factory will serve as the technical backbone for key national projects, including:

  • An AI assistant in Diia, used by millions of Ukrainians,
  • An AI tutor in the Mria educational ecosystem,
  • Future initiatives in defense, science, and healthcare.

The development is being led by the WINWIN AI Center of Excellence, a team that builds and implements innovative AI solutions for the public sector.

What will Ukraine’s AI Factory include?

The project will consist of four key components:

  • Technology base: GPU clusters, water-cooled data centers, data storage, and server rooms,
  • Software stack: Full infrastructure for model training, deployment, automation, and monitoring,
  • Training data: A system will be built for accessing high-quality, up-to-date data,
  • Human expertise: Training programs for AI specialists who will drive the ecosystem’s growth.