The OECD.AI Policy Navigator

The SOTE AI Vision 2035 sets out a Finnish joint vision for AI use in healthcare and social welfare. Developed in May 2025 through a Polis discussion and two workshops with around 300 ecosystem members, it envisions AI coordinating prevention, making independent decisions, and ensuring equal service access across Finland, with recommended actions on legislation, competence, data and collaboration.

Finland’s National Roadmap for Data Centres is a government‑commissioned report prepared in 2025 that proposes national objectives and measures for the development of high‑value data centres, explicitly linking data‑centre location to electricity grid capacity, fossil‑free energy availability and the management of growing AI‑related computing demand.

Building on the Finnish open forest data system, which was launched in March 2018, new solutions are being developed for forest data collection and management. Many of these solutions involve the use of AI. The most recent projects use accurate forest maps and autonomous drones to help improve the harvesting quality. It is also being studied how gamified mobile apps can be used in the collection of forest data. There is also work on digital twins of forests.

AI-apuri is a commercial platform that allows civil servants to create tailored AI chatbots for specific work tasks. It was introduced to improve access to reliable information and save time in routine processes, such as handling consumer complaints. The solution allows restricted and sensitive personal data to be processed securely, and a network of civil servants develops chatbots for their own teams, helping use cases scale across the organisation.

Established in 2024, this national AI ecosystem for social and health services fosters collaboration among public authorities, businesses, and researchers to promote AI integration in healthcare.

The TEHDAS2 initiative, coordinated by the Finnish Innovation Fund (Sitra), is a collaborative project involving 29 European countries. It aims to facilitate the secondary use of health data across Europe by developing harmonised guidelines and technical specifications, thereby supporting the implementation of the European Health Data Space (EHDS).

The Ministry of Transport and Communications has also experimented with the use of generative artificial intelligence based on Finnish language models to support legislative preparation.

Finland is participating in the LUMI-Q project under the EuroHPC Joint Undertaking to develop a quantum computer located in the Czech Republic. The project is linked to the LUMI supercomputer network. Procurement for Finland’s participation was launched in 2024.

Finland’s Ministry of Education and Culture and the National Agency for Education are developing recommendations on AI in education. The guidance aims to help teachers and learners use AI safely and responsibly. It also seeks to ensure that all students have equal opportunities to benefit from AI in learning.