Tech-Szene: San Francisco wird im KI-Boom zum Sehnsuchtsort junger Deutscher
Nie floss mehr Kapital ins Silicon Valley. Mittendrin: junge Deutsche, die Doktortitel oder Konzernkarriere aufgeben, um im KI-Boom reich zu werden. Dabei würden sie es sich anders wünschen.
San Francisco is becoming a magnet for young Germans in the AI boom, attracting them with the promise of a new kind of entrepreneurial adventure. Marvin Gabler, a 30-year-old German with a short haircut and glasses, exemplifies this trend. After founding his own startup, Jua, in 2022, Gabler now resides in San Francisco to develop a new company that aims to simulate the physical world using artificial intelligence (AI) to create new materials.
Engaging in a "German Founder Mixer," an event for founders and investors, Gabler makes a bold statement, comparing the potential of young Germans in AI to that of American labs, which often pay millions for their expertise. He argues that AI is fundamentally different from previous cycles, suggesting that the Silicon Valley scene has become a gold rush for German talents.
Despite Germany boasting excellent universities that cultivate AI experts, Gabler believes that the allure of San Francisco is too strong to resist. He points out that his generation of Germans is increasingly opting for entrepreneurship or programming careers in California, even before completing their studies. German venture capitalists are also joining the migration, regularly traveling from Berlin, Munich, and Stuttgart to invest in teams based in the West Coast.
This exodus of young Germans to San Francisco is driven by the unique opportunities and the promise of pioneering new technologies in the AI field. The combination of a thriving startup ecosystem and the allure of AI innovation is making San Francisco a new hub for German tech talent, transforming the city into a sought-after destination for ambitious young Germans.
Written by urgent.news from Handelsblatt's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.