Switzerland possesses an AI research landscape that is unique relative to the size of the country. Three institutions form the backbone:
The Swiss Federal Institute of Technology regularly ranks among the ten best technical universities in the world [1]. The ETH AI Center, opened in Zurich-Oerlikon in 2020, brings together AI research across departmental boundaries -- from medicine to robotics to climate science [2]. ETH has a tradition reaching back to the founding of computer science as an independent discipline: Niklaus Wirth developed the programming languages Pascal and Oberon here [3].
The Ecole Polytechnique Federale de Lausanne is barely behind ETH in AI research. It is particularly strong in the areas of machine learning, computer vision and robotics. Its proximity to French-speaking Switzerland and the European research area makes it a bridge between German-speaking Switzerland and the international scientific community.
The Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, founded in 1988, produced one of the most consequential innovations in deep learning under the leadership of Juergen Schmidhuber: Long Short-Term Memory (LSTM) [4]. This architecture is the foundation for speech recognition, machine translation and text generation -- technologies used by billions of people today. IDSIA proves that fundamental research does not necessarily require billion-dollar budgets, but brilliant minds and institutional freedom.
Google employs over 5,000 staff in Zurich [5]. It is the largest Google site outside the USA. Core products are developed here -- Gmail, Google Maps, Google Assistant. This presence shows that Switzerland is not merely a tax location for global technology companies, but a place where first-rate research is conducted.
The AI Preparedness Index of the International Monetary Fund assesses how well countries are prepared for the AI revolution -- measured by infrastructure, human capital, regulation and innovation. Switzerland stands at rank 3 of 186 countries [6]. Only Singapore and Denmark score higher.
This ranking is not automatic. It reflects decades of investment in education, research and a liberal economic order. But neither is it a free pass: the competition is investing heavily.
The individual initiatives are impressive. What is missing is a national system. Novartis, Roche and ABB already use AI -- but these are individual initiatives by large corporations. SMEs, which make up 99 per cent of Swiss companies, often lack both the knowledge and the resources for AI deployment [7].
The demand is clear: a national AI competence centre that links ETH, EPFL, IDSIA and the universities of applied sciences with industry. At least 500 million francs in public funding, co-financed by the private sector [8]. Additionally:
The Confederation spends around 3.5 billion francs per year on the ETH domain [9]. Measured against a potential fiscal gap of 75 to 116 billion francs due to AI-driven job displacement, this is a fraction. Doubling AI research funding would burden the federal budget by less than one per cent. The return -- patents, spin-offs, tax revenues, geopolitical relevance -- would be many times higher.
These countries have understood: research investments are not costs. They are the only reliable source of future prosperity.
Every franc invested here is not a cost item -- it is an insurance premium against economic decline.
Switzerland has the foundations. What it needs is the political will to translate these foundations into a national strategy -- before other countries close the gap.
[1] QS World University Rankings 2024--2025: ETH Zurich.
[2] ETH AI Center: Research focus areas and partnerships, 2020.
[3] Wirth, N.: Algorithms + Data Structures = Programs. Prentice-Hall, 1976.
[4] Hochreiter, S. / Schmidhuber, J.: Long Short-Term Memory. In: Neural Computation 9(8), 1997.
[5] Google Switzerland: Zurich location.
[6] International Monetary Fund (IMF): AI Preparedness Index, 2024.
[7] Federal Statistical Office (FSO): Structural Business Statistics, SME share.
[8] Swiss Federal Council: Report "Artificial Intelligence in Switzerland", 2024.
[9] Federal Department of Economic Affairs, Education and Research (EAER): ERI Dispatch 2025--2028.
[10] Smart Nation Singapore: National AI Strategy 2.0, 2023.
[11] Senor, D. / Singer, S.: Start-up Nation: The Story of Israel's Economic Miracle. Twelve, 2009.
[12] Republic of Korea, Ministry of Science and ICT: AI Strategy, 2024.