Insights from AI Horizons, Frankfurt – November 27

At AI Horizons in Frankfurt on November 27, the spotlight was on global AI strategies, as leading experts debated how nations and companies compete—and collaborate—to scale AI value. The panel, moderated by Tamara Tomasevic, Head of Program Development at CIONET, brought together Julia Gottfriedsen (Head of Data Science & AI, AuroraTech), Mark Brinkmann (Head of Data & AI, StackIt), Dr. Yiming Sun (Co-Founder & Chief Scientist, Proxverse), and Thomas Zimmerer (AI & Digital Board Advisor).

AI as an Ecosystem, Not a Race

The panel highlighted that global AI leadership is driven by ecosystem development rather than pure competition. Key factors for success include talent, trust, measurable value, and strategic partnerships. Effective AI deployment relies on skilled professionals, robust infrastructure, and collaboration across organizations and regions.

Infrastructure and Innovation Speed

Infrastructure remains central to AI capabilities. Data centers, GPUs, electricity, and cooling systems form the backbone of technology development. Innovation speed varies globally: China and the Middle East focus on rapid experimentation and bold approaches, while Europe takes a more cautious path, combining innovation with governance and ethical standards.

Investments and Capital

Investment strategies play a major role in AI development. In the US, investors often support founders’ ability to pivot, while in Europe, funding decisions emphasize proven business models. In China, geopolitical constraints and limited access to capital are prompting some startups to expand internationally.

Talent as a Key Driver

Attracting and retaining top AI talent is a global challenge. Europe is increasingly competitive thanks to strong universities, a robust tech ecosystem, and high quality of life. Success depends on bringing in experts who can lead projects and drive innovation locally.

Europe’s AI Future

Experts highlighted Europe’s potential to lead in niche AI applications and specialized models capable of competing globally. Achieving this requires a mindset shift: embracing risk, fostering innovation, and collaborating effectively while adhering to ethical and regulatory standards.

In summary, Europe has the opportunity to become a significant player in AI by combining talent, partnerships, infrastructure, and bold strategic decisions.