Europe’s AI Ambition Hinges on Building, Not Just Using, AI
At GTC Berlin, NVIDIA CEO Jensen Huang argued that Europe’s AI economy depends on producing AI, not simply adopting it. He cast the region’s engineering strengths and companies being built around AI from the outset as foundations for that effort, and pointed to 14 startup investments announced during a week of travel across Europe. His case was that AI could reshape existing industries while creating new ones.
Europe’s role is framed as producing AI, not only using it
At GTC Berlin, Jensen Huang called the current moment the beginning of a new industrial revolution and described Europe’s task as building a new industry around AI. His central distinction was between consuming AI and producing it. He said Europe could have a thriving AI economy, but argued that participating in it meant helping produce AI, not merely using it.
Huang tied that ambition to changes in how companies are built. AI, he said, is changing both what a company can do and what it takes to build one. Across Europe, he said, a new generation of companies is being built around AI from day one. That claim connects the regional ambition to a specific kind of company formation: AI is not simply a tool added to an established business, but part of the basis on which some new businesses are organized.
He described the potential reach in broad terms: every person would use AI, every company would be powered by it, and every industry would be transformed, with new industries created as well. The remarks move between two scales: the transformation of existing organizations and the creation of companies and industries that do not yet exist. Huang’s call to “build Europe's AI economy and put AI to work” links those possibilities to a shared regional project.
The slide places startup announcements beside two broader measures
Huang pointed to a week of travel through France, the UK, Sweden and Berlin, saying NVIDIA had announced investments in 14 startup companies during that week. The presentation screen put that figure under the heading “Europe and NVIDIA Put AI to Work,” alongside two others: “NVIDIA $10B Over the Last Year” and “12K+ Companies in Our Ecosystem.”
The three figures describe different scales of activity, not three versions of the same measure. The 14 refers to new startup investments announced during that week. The $10 billion is explicitly labeled on the slide as a figure “Over the Last Year”; the screen does not specify further what the amount measures. The 12,000-plus figure describes companies in NVIDIA’s ecosystem. The slide therefore pairs a recent set of announcements with a time-bounded financial figure and a broader count of companies.
That presentation gives the startup announcements a wider context without making them interchangeable with the other figures. Huang’s spoken remarks supply the immediate context for the 14 investments; the slide supplies the wording and scale for the other two. Together, they present startup investment as one part of a larger account of NVIDIA’s activity and its company ecosystem in Europe.
The case for European AI also rests on physical engineering
Huang connected Europe’s potential in AI to its established capabilities in physical engineering. He singled out the region’s work in mechatronics, electronics and mechanical systems, praising its precision and craft. His case for a European AI economy therefore reaches beyond software or startup formation: he presented those industrial capabilities as relevant to what Europe could contribute.
An unidentified speaker separately said they were “extremely optimistic” about AI’s effects on healthcare and life sciences. The comment adds those fields to the areas of potential impact mentioned in the remarks, but the source does not identify the speaker or develop the claim further.