A coalition of European cloud providers, technology companies, lawmakers, and civil society groups has thrown its support behind a major European Union initiative aimed at reducing the bloc’s dependence on American technology firms, highlighting growing concerns in Europe about digital sovereignty, strategic autonomy, and control over critical infrastructure.

Thirteen cloud providers joined a broad alliance of European technology firms, lawmakers, and advocacy groups in backing the European Commission’s efforts to strengthen domestic technology capabilities and give local providers a larger role in supplying critical digital services across the continent.

The move comes ahead of a package of measures expected from the Commission that could reshape the competitive landscape for cloud computing and semiconductor production in Europe. The proposals are expected to prioritize European providers in sensitive public-sector cloud contracts while simultaneously encouraging greater investment in domestically produced semiconductors.

At stake is far more than government procurement. The initiative represents one of the clearest signs yet that Europe is seeking to build an independent technology ecosystem at a time when geopolitical tensions are increasingly influencing decisions about digital infrastructure.

In an open letter, the coalition argued that Europe must strengthen its ability to control the technologies underpinning its economy and public services.

“Technological sovereignty means that Europe has the capacity to freely design, understand, choose from different home-grown sources, build, operate and effectively regulate the digital systems on which its society and economy rely,” the signatories said.

Among the companies supporting the effort are OVHcloud, Nextcloud, Proton, Ecosia, QuantWare, as well as social platforms Mastodon and Monnett Social.

The campaign reflects mounting unease within Europe over the dominance of U.S. technology giants across critical sectors, including cloud infrastructure, artificial intelligence, semiconductors, operating systems, and social media.

Today, the European cloud market is overwhelmingly controlled by American hyperscalers such as Amazon Web Services, Microsoft, and Google. Their platforms host large portions of Europe’s government, corporate, and industrial data, creating concerns among policymakers about dependency on foreign providers for essential digital services.

Those concerns have intensified amid rising geopolitical tensions and growing uncertainty about the future of transatlantic relations. European officials view cloud infrastructure, AI computing, and semiconductor production through the lens of national and economic security rather than purely commercial competition.

The push also underpins fears that Europe risks falling further behind both the United States and China in strategic technologies. While American firms dominate cloud computing and frontier AI development, China has accelerated efforts to build self-sufficient technology ecosystems through massive state-backed investment programs.

Europe’s challenge is particularly acute in cloud computing because the sector serves as the foundation for AI deployment, data analytics, cybersecurity, and digital government services. Without strong domestic cloud providers, European policymakers worry that the continent could struggle to establish leadership in the next generation of AI-driven industries.

Supporters argue that public procurement can play a critical role in strengthening local providers. By directing sensitive government contracts toward European vendors, policymakers hope to create demand that enables domestic firms to scale and compete more effectively against larger international rivals.

The Commission’s parallel focus on semiconductor manufacturing follows a similar logic. Europe has already launched major initiatives to expand chip production, recognizing that access to advanced semiconductors has become a strategic imperative in an era defined by AI, defense technologies, and industrial digitization.

The coalition’s message was encapsulated by European Parliament lawmaker Alexandra Geese, who summarized the campaign’s objective in stark terms.

“Our message is simple: Build European, buy European, protect European,” Geese said.

Whether the EU can substantially reduce its dependence on foreign technology remains uncertain. American cloud providers benefit from enormous scale, advanced infrastructure, and vast AI ecosystems that European competitors have struggled to match.

However, the growing political support behind digital sovereignty suggests that technology policy in Europe is increasingly moving beyond regulation and toward active industrial strategy. That shift is expected to create significant opportunities for European cloud providers and chipmakers, while it signals that one of the U.S. technology giants’ largest overseas markets is becoming more determined to cultivate domestic alternatives.

As artificial intelligence moves beyond chatbots and data centers into the physical world, chip giant Nvidia is laying the groundwork for what could become the next major computing platform: humanoid robots.

The company has revealed plans to collaborate with robot manufacturers in the United States, Europe, and South Korea, expanding beyond its recently announced partnership with Chinese robotics firm Unitree Robotics. The initiative signals Nvidia’s determination to lead the emerging humanoid robotics industry, much as it has done in artificial intelligence infrastructure.

The announcement came following CEO Jensen Huang’s keynote address at the Computex technology exhibition in Taipei, where Nvidia unveiled a new research-focused humanoid robot platform built in partnership with Unitree.

The standardized robot is designed specifically for universities and research institutions, developing the next generation of AI-powered machines. Under the arrangement, Unitree will provide the robot body, Singapore-based robotics company Sharpa will supply the robotic hands, while Nvidia’s advanced computing systems will serve as the machine’s intelligence layer.

Researchers at institutions including Stanford University and the University of California, San Diego, are expected to use the platform to advance robotics research.

The initiative reflects Nvidia’s broader vision that the next wave of AI growth will come not only from software but from “physical AI” — intelligent machines capable of interacting with the real world. Huang has repeatedly argued that humanoid robots could become a multi-trillion-dollar market over the coming decades, transforming industries ranging from manufacturing and logistics to healthcare and elder care.

The company’s move comes as competition intensifies in the robotics sector. Technology companies worldwide are racing to develop machines capable of performing increasingly sophisticated tasks autonomously. Advances in large language models, computer vision, and reasoning systems have dramatically improved the capabilities of robots, bringing the prospect of commercially viable humanoid machines closer to reality.

Nvidia’s strategy mirrors the approach that helped it dominate the AI revolution. Rather than manufacturing complete robots itself, the company aims to become the foundational technology provider supplying the processors, software platforms, and development tools that power machines built by others.

The company has already developed robotics software frameworks and simulation platforms that allow developers to train robots in virtual environments before deploying them in the physical world. By integrating its latest Blackwell chips directly into humanoid robots, Nvidia hopes to create a standardized ecosystem for robotics researchers and manufacturers.

The partnership with Unitree, however, also comes with geopolitical impact. Unitree gained international attention earlier this year when its humanoid robots appeared prominently during China’s Spring Festival Gala, showcasing Beijing’s growing capabilities in advanced robotics. The company is currently pursuing a public listing in China as investor interest in robotics accelerates.

At the same time, Unitree has become the subject of scrutiny in Washington. Some U.S. lawmakers have alleged that the company maintains close ties to the Chinese government and military. Legislation has been introduced that would prohibit researchers receiving U.S. government funding from using Unitree robots.

Against that backdrop, Nvidia executives said the collaboration is partly aimed at addressing cybersecurity concerns that could hinder adoption among Western researchers. According to company officials, the robots will incorporate security architectures similar to those used in Nvidia’s data-center systems. Software updates intended for robot subsystems will pass through Nvidia’s chips, where they can be authenticated and verified before installation.

The system employs technologies such as secure boot and confidential computing, designed to prevent unauthorized software from running on the machines and to stop sensitive data from being transferred without approval.

As robots become more capable and increasingly connected to enterprise networks, concerns over cybersecurity, data protection, and national security are becoming just as important as mechanical performance.

But embedding security directly into robot hardware could provide a competitive advantage for Nvidia, especially as governments, universities, and corporations evaluate which platforms to adopt.

The company’s decision to pursue similar partnerships with manufacturers in the United States, Europe, and South Korea also suggests Nvidia is seeking to establish a globally diversified robotics ecosystem rather than relying on a single supplier or market.

While Nvidia executives declined to identify future partners, the expansion indicates the company sees humanoid robotics as a global industry likely to mirror the development of the AI server market, where demand is spreading rapidly across regions. The broader significance of the initiative lies in Nvidia’s effort to extend its dominance beyond data centers. The company already commands the AI chip market, supplies the processors powering many of the world’s largest AI models, and is expanding aggressively into CPUs, networking infrastructure, and AI software.

Humanoid robots represent the next frontier.

If AI agents become capable of performing complex physical tasks, the robots carrying out those functions will require enormous computing power, sophisticated software, and secure hardware architectures. Nvidia is getting ready to provide all three.

Much as the company became the backbone of the generative AI boom, it is now attempting to ensure that when intelligent machines move from screens into factories, warehouses, hospitals, and homes, they will be running on Nvidia technology.