Jan Kerschgens
Swiss AI Ecosystem Architecture
Swiss AI Ecosystem Architecture
At the Panoramai AI Summit, Jan Kerschgens, leading AI initiatives at Innovaud (Canton de Vaud's innovation agency), provided comprehensive insight into Switzerland's strategic AI investments and competitive positioning. His presentation revealed the substantial publicly funded infrastructure supporting Swiss AI excellence and emerging partnership opportunities for Swiss small and medium sized companies (SMEs) and start-ups
Billion-Franc Foundation
Kerschgens outlined Switzerland's massive federal commitment to AI research excellence: « 1 billion every year which comes here to support training, research and technology transfer » through EPFL alone. This investment supports amongst others approximately 100 AI-focused faculty coordinating over 1,000+ researchers while offering 175+ AI-related courses, including executive education modules developed with IMD.
Institutional Ecosystem Mapping
His analysis revealed Switzerland's coordinated approach across multiple institutions: the Swiss Data Science Center (achieving National Research Infrastructure status in 2025), University of Lausanne's 220 AI experts, Swiss AI Center for SMEs (HES-SO) coordinating five applied universities, and the Swiss Institute of Bioinformatics (SIB) —a « silent giant » whose protein databases were instrumental in training AlphaFold.
Strategic Partnership Model
Kerschgens highlighted Canton de Vaud's 7.5 million Swiss franc partnership with the Swiss Data Science Center over five years, providing companies access to 150,000 francs direct funding plus 250,000 francs in-kind support for AI innovation projects. This model demonstrates how regional governments can leverage federal research infrastructure for local economic development.
European Competitive Positioning
Drawing on broader panel discussions, Kerschgens referenced predictions that « any measurable science ultimately will be AI science », positioning Switzerland's research infrastructure as foundational to future scientific competitiveness. His analysis suggests Swiss institutions are well-positioned for AI-driven research transformation.