Google will invest €13 billion in Finland over the next two years to expand its AI and cloud infrastructure, the largest single investment the company has made in Europe. The spending covers data center expansion, clean energy projects, and local economic partnerships, and arrives as demand accelerates for services like Search, Maps, and Gemini.
The announcement builds on Google's 15-year presence in Hamina, where a former paper mill became a data center. That site already supports more than 600 Finnish suppliers across construction, operations, and network fiber. The new investment phase, concentrated in 2027 and 2028, will support over 37,000 jobs nationwide during construction and add an estimated €3.6 billion annually to Finland's GDP, according to the company.
What the money funds
Google is expanding data center capacity in Hamina and adding new sites in Kajaani, Muhos, and Vaala. Once operational, the facilities will support thousands of permanent roles - from computer technicians and electrical engineers to security, catering, and facilities management. The company also committed €31 million to local community programs over four years, including AI upskilling partnerships with local colleges for more than 4,400 workers and training pathways for 100 Finnish students targeting data center careers.
On the energy side, Google signed a 22-year agreement to support the life extension of the Loviisa nuclear power plant. It is also adding new onshore wind capacity and contracting for a 94-megawatt battery system designed to stabilize electricity prices during cold, windless periods. Environmental projects include native forest and wetland restoration near its sites, plus publicly accessible trails, saunas, and fishing piers.
Why Finland
Finland's cool climate and access to renewable energy have made it a strategic hub for data center operators. Google's Hamina facility already uses a seawater-based cooling system and supplies offsite heat recovery to local homes and businesses. The country's grid stability and long-term power purchase agreements allow hyperscale tenants to lock in predictable costs while meeting sustainability targets - a combination that matters as AI workloads push energy consumption higher.
For professionals tracking the AI for IT & Development space, the investment signals where infrastructure spending is concentrating. Data center construction, electrical engineering, network fiber deployment, and battery storage integration are all scaling in parallel with model training and inference demand.
Why this matters for finance, IT, and development professionals
For finance teams, the €3.6 billion annual GDP contribution figure gives a concrete benchmark for how hyperscale data center investments flow through a regional economy - useful context when modeling similar projects. IT and development professionals should note the direct mention of Gemini alongside core services; the infrastructure being built in Finland is the physical layer that runs the Google AI ecosystem, from consumer products to enterprise cloud APIs. The 4,400-person upskilling target also signals which roles Google expects to be in highest demand as these facilities come online.
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