Nvidia Chief Executive Officer Jensen Huang has predicted that artificial intelligence will eventually become an essential part of every business, urging European countries to accelerate investment in AI infrastructure, technology and applications.
Huang made the remarks during an event in Stockholm, Sweden, on Thursday, October 15, as part of a European tour aimed at strengthening the region’s artificial intelligence ecosystem.
“Every single company will be an AI company eventually. Every single industry will be impacted by AI,” the Nvidia boss said.
His comments reflect the growing importance of AI across industries, as businesses explore ways to use the technology to improve productivity, develop new products, automate tasks and deliver services more efficiently.
Huang also stressed that Europe must develop the complete AI technology chain, from computing infrastructure and data centres to AI models and consumer applications.
“The important thing for us is to recognise that Europe needs to build out the entire stack,” he said.
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Nvidia Has Invested $8 Billion in Europe
During an interview with Agence France-Presse (AFP), Huang disclosed that Nvidia had invested approximately $8 billion in Europe over the preceding year, with billions of dollars in additional investments in the pipeline.
“We’ve strategically invested in different parts of that ecosystem, really high quality companies that we believe could help lift it, the whole ecosystem in Europe,” he said.
The investments form part of Nvidia’s broader effort to support companies developing the infrastructure and services needed to expand AI adoption.
Huang identified British data centre and AI cloud provider Nscale and Dutch cloud provider Nebius as examples of companies within the European AI ecosystem that Nvidia has supported.
“In the last one year, we’ve invested $8 billion already. We have another couple of billion dollars in the pipeline,” he added.
The planned additional investments are expected to support further development of Europe’s AI industry, although Huang did not specify the full list of intended recipients or when the additional funding would be deployed.
Why Huang Wants Europe to Build Its Own AI Infrastructure
Huang’s message goes beyond encouraging businesses to adopt AI tools. He wants Europe to strengthen the underlying infrastructure required to develop and operate the technology.
That infrastructure includes powerful computing systems, data centres, AI models and applications that businesses and individuals can use.
Developing more of these capabilities within Europe could help the region expand its technology industry and retain greater control over sensitive data and specialised expertise.
For businesses, access to reliable computing infrastructure and AI services could support the development of new products, research and industrial applications.
However, building a competitive AI ecosystem requires substantial investment, technical expertise, energy resources and cooperation between governments, researchers and private companies.
Huang’s remarks underline Nvidia’s interest in helping develop this ecosystem, as demand for AI computing continues to create opportunities for chipmakers and infrastructure providers.
Swedish Supercomputer Launched With Nvidia Technology
Huang’s Stockholm visit coincided with the launch of Sferical One, a Swedish supercomputer powered by Nvidia chips.
The system is designed to keep sensitive Swedish data and expertise within the country, reflecting efforts to strengthen local computing capabilities while supporting AI development.
Supercomputers provide the processing power needed for demanding workloads, including scientific research, complex simulations and the training or operation of advanced AI systems.
The launch also illustrates how countries are seeking computing infrastructure that can support domestic research and innovation while addressing concerns about where sensitive information is stored and processed.
For Sweden, the project represents another step in developing the infrastructure required to participate in the expanding AI economy.
Volvo Expands Partnership With Nvidia
Huang’s visit also coincided with an announcement from Volvo Cars that it was expanding its partnership with Nvidia to improve safety technology in planned self-driving vehicles.
The collaboration highlights the potential role of AI in the automotive industry, particularly in systems designed to interpret driving environments, process information from vehicle sensors and support automated driving functions.
AI is increasingly being explored across the automotive sector, from driver-assistance features and manufacturing to vehicle development and predictive maintenance.
Nevertheless, the use of AI in self-driving vehicles requires extensive testing and safety measures. The announcement of an expanded partnership does not, by itself, mean that fully autonomous vehicles are ready for unrestricted use on public roads.
What Huang’s Prediction Means for Businesses
Huang’s forecast suggests that companies across sectors may increasingly need to consider how AI fits into their operations.
Retailers could use AI to analyse customer behaviour and manage stock. Manufacturers could apply it to production planning and quality control, while financial services businesses may use AI to assist with data analysis and customer support.
Media companies and digital publishers could also use AI tools to support research, content planning and workflow automation, provided they maintain appropriate editorial oversight.
However, adopting AI does not automatically guarantee better results. Businesses must consider cost, data protection, accuracy, cybersecurity and the impact of automation on employees.
Companies will also need to identify where the technology offers genuine value rather than adopting it simply because it is becoming more popular.
Huang’s central message is that AI is likely to influence business strategy across industries, making investment in infrastructure, skills and practical applications increasingly important.
As Nvidia continues to invest in AI-related businesses and infrastructure, its chief executive is making the case that the technology’s next phase will extend far beyond specialist technology companies.
For businesses worldwide, the challenge will be determining how to use AI responsibly and effectively as the technology becomes more deeply integrated into everyday operations.
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