On 19 May, the European Commission hosts a new CONNECT University session on the future of artificial intelligence and computing in Europe. Center stage is the HiPEAC Vision 2026 report, in which European researchers call for a distinct tech path—less dependent on U.S. hyperscalers and energy-hungry data centers.
According to the organizers, Europe should stop copying foreign AI roadmaps and instead invest in its own infrastructure—aligned with European values like sustainability, openness, and digital sovereignty. The debate comes as major AI firms worldwide pour billions into new AI data centers and autonomous AI systems.
Europe charts its own AI course
The core message of HiPEAC Vision 2026 is blunt: Europe must build an alternative to today’s AI architecture, which is largely dominated by tech giants from the United States and China.
The researchers argue the next era of computing doesn’t need to hinge on massive, centralized data centers with soaring energy use. Instead, they see potential in a more distributed model that flexibly splits compute across edge and cloud systems.
According to the report, that model offers several advantages:
- more efficient use of existing compute;
- lower energy demand;
- greater user control;
- reduced reliance on surveillance-driven business models;
- stronger technological autonomy for Europe.
Edge computing processes data closer to the user or device, rather than solely via central cloud servers—cutting latency and saving energy.
AI is reshaping hardware development
The CONNECT University session also explores how AI is increasingly steering the development of hardware and software themselves—directly affecting European companies, developers, and education.
The event agenda highlights a pivot to modular, reconfigurable hardware—more flexible than traditional monolithic systems that are hard to adapt.
Speakers will also examine AI’s impact on programming and chip design. AI tools can accelerate development, but they also reshape the skillsets future engineers will need.
That discussion taps into a wider European debate on digital sovereignty. Policymakers remain concerned about dependence on foreign cloud platforms, AI models, and semiconductor supply chains.
Open source moves to the center
Open source technology, HiPEAC argues, is a cornerstone of a European AI strategy. Open models and open infrastructure can broaden access to innovation while boosting transparency and control.
Organizers explicitly link open source to sustainability and sovereignty. By keeping technology openly available, European companies and research institutions can collaborate faster—without full dependence on Big Tech’s commercial ecosystems.
This aligns with broader EU initiatives like the AI Act and various European cloud projects aimed at greater control over the continent’s digital infrastructure.
Security and sustainability up front
Cybersecurity in future AI systems is a key theme, covering topics such as:
- AI in cyber offense and defense;
- supply chain vulnerabilities;
- securing distributed infrastructures;
- reliability of autonomous AI systems.
Sustainability also looms large. The rapid rise of generative AI is driving global demand for energy, water cooling, and data center buildouts. European researchers want to avoid mirroring the hyperscaler model at any cost.
Instead, HiPEAC argues for “rightsized infrastructure”: systems tailored to practical needs, with smarter resource use.
Who’s speaking at the event?
The session is organized by CONNECT University within the European Commission’s Directorate‑General DG CONNECT.
Speakers include:
- Marc Duranton
- Koen De Bosschere
The online event takes place on 19 May from 14:00 to 16:00.
Why this matters
The HiPEAC Vision 2026 debate underscores Europe’s push for an alternative to today’s AI market structure. While U.S. companies chase scale with centralized platforms, Europe is probing models that emphasize sustainability, collaboration, and infrastructure control.
That doesn’t mean Europe will outspend American AI giants. Instead, the region aims to carve out an edge where regulation, open source, and energy‑efficient infrastructure become strategic assets.
For European tech firms, researchers, and policymakers, this course could shape future investment in AI, cloud computing, and semiconductors.
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