Key Internet developments

EU expands AI reach through new antenna network

The European Commission has launched new ‘AI Antennas’ across 13 European countries to strengthen AI infrastructure. Seven EU states, including Belgium, Ireland, and Malta, will gain access to high-performance computing through the EuroHPC network.

Six non-EU partners, such as the UK and Switzerland, have also joined the initiative. Their inclusion reflects the EU’s growing cooperation on digital innovation with neighbouring countries despite Brexit and other trade tensions.

Each AI Antenna will serve as a local gateway to the bloc’s supercomputing hubs, providing technical support, training, and algorithmic resources. Countries without an AI Factory of their own can now connect remotely to major systems like Jupiter.

The Commission says the network aims to spread AI skills and research capabilities across Europe, narrowing regional gaps in digital development. However, smaller nations hosting only antennas are unlikely to house the bloc’s future ‘AI Gigafactories’, which will be up to four times more powerful.

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Meta champions open hardware to power the next generation of AI data centres

The US tech giant, Meta, believes open hardware will define the future of AI data centre infrastructure. Speaking at the Open Compute Project Global Summit, the company outlined a series of innovations designed to make large-scale AI systems more efficient, sustainable, and collaborative.

Meta, one of the OCP’s founding members, said open source hardware remains essential to scaling the physical infrastructure required for the next generation of AI.

During the summit, Meta joined industry peers in supporting OCP’s Open Data Center Initiative, which calls for shared standards in power, cooling, and mechanical design.

The company also unveiled a new generation of network fabrics for AI training clusters, integrating NVIDIA’s Spectrum Ethernet to enable greater flexibility and performance.

As part of the effort, Meta became an initiating member of Ethernet for Scale-Up Networking, aiming to strengthen connectivity across increasingly complex AI systems.

Meta further introduced the Open Rack Wide (ORW) form factor, an open source data rack standard optimised for the power and cooling demands of modern AI.

Built on ORW specifications, AMD’s new Helios rack was presented as the most advanced AI rack yet, embodying the shift toward interoperable and standardised infrastructure.

Meta also showcased new AI hardware platforms built to improve performance and serviceability for large-scale generative AI workloads.

Sustainability remains central to Meta’s strategy. The company presented ‘Design for Sustainability’, a framework to reduce hardware emissions through modularity, reuse, and extended lifecycles.

It also shared how its Llama AI models help track emissions across millions of components. Meta said it will continue to

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Data Act now in force, more data sharing in EU

The EU’s Data Act is now in force, marking a major shift in European data governance. The regulation aims to expand access to industrial and Internet of Things data, giving users greater control over information they generate while maintaining safeguards for trade secrets and privacy.

Adopted as part of the EU’s Digital Strategy, the act seeks to promote fair competition, innovation, and public-sector efficiency. It enables individuals and businesses to share co-generated data from connected devices and allows public authorities limited access in emergencies or matters of public interest.

Some obligations take effect later. Requirements on product design for data access will apply to new connected devices from September 2026, while certain contract rules are deferred until 2027. Member states will set national penalties, with fines in some cases reaching up to 10% of global annual turnover.

The European Commission will assess the law’s impact within three years of its entry into force. Policymakers hope the act will foster a fairer, more competitive data economy, though much will depend on consistent enforcement and how businesses adapt their practices.

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Public consultation: EU clarifies how DMA and GDPR work together

The European Commission and European Data Protection Board have jointly published long-awaited guidelines clarifying how the Digital Markets Act aligns with the GDPR. It aims to remove uncertainty for large online platforms over consent requirements, data sharing amongst other things.

Under the new interpretation, gatekeepers must obtain specific and separate consent when combining user data across different services, including when using it for AI training. They cannot rely on legitimate interest or contractual necessity for such processing, closing a loophole long debated in EU privacy law.

The Guidelines also set limits on how often consent can be re-requested, prohibiting repeated or slightly altered requests for the same purpose within a year. In addition, they make clear that offering users a binary choice between accepting tracking or paying a fee will rarely qualify as freely given consent.

The Guidance also introduces a practical standard for anonymisation, requiring platforms to prevent re-identification using technical and organisational safeguards. Consultation on the Guidelines runs until 4 December 2025, after which they are expected to shape future enforcement.

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AI Infrastructure Partnership and BlackRock consortium acquire Aligned Data Centers

A consortium comprising the Artificial Intelligence Infrastructure Partnership, MGX, and BlackRock’s Global Infrastructure Partners has announced the acquisition of Aligned Data Centers for an estimated forty billion dollars.

The move marks a major step towards expanding the infrastructure underpinning global AI and cloud growth.

Aligned, headquartered in Dallas, operates more than fifty campuses and five gigawatts of capacity across the US and Latin America. The company is known for its patented air, liquid, and hybrid cooling systems that enhance efficiency and sustainability, particularly in high-density AI environments.

Under the consortium, Aligned will accelerate the development of scalable and energy-efficient data facilities to meet rising global demand.

The Artificial Intelligence Infrastructure Partnership was founded by BlackRock, GIP, MGX, Microsoft, and NVIDIA to advance large-scale AI infrastructure investment.

Backed by sovereign wealth funds from Kuwait and Singapore, it aims to mobilise thirty billion dollars in equity and up to one hundred billion, including debt.

The Aligned acquisition represents its first major investment and positions the company as a cornerstone of the group’s strategy.

Executives from BlackRock, MGX, and GIP said the deal reflects a shared commitment to building sustainable, resilient infrastructure for the AI era.

Aligned CEO Andrew Schaap added that the partnership would strengthen the company’s global reach and innovation capacity, redefining standards for digital infrastructure in an increasingly AI-driven economy.

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Starcloud launches data centres into space

A new era in data technology is emerging as Starcloud, a member of NVIDIA’s Inception startup program, prepares to send its first AI-driven satellite into orbit next month.

The mission marks the debut of NVIDIA’s H100 GPU in space and represents a decisive step toward the creation of large-scale orbital data centres designed to meet the planet’s soaring demand for AI.

By operating data centres in space, Starcloud aims to cut energy costs by tenfold and significantly reduce carbon emissions. The vacuum of space will serve as a natural cooling system, while constant exposure to solar energy will eliminate the need for batteries or backup power.

According to CEO Philip Johnston, the only environmental cost will come from the launch itself, resulting in substantial carbon savings over the data centre’s lifetime.

Starcloud’s technology could transform how Earth observation data is processed. Instead of transmitting raw information back to the ground, satellites will analyse it in real time, improving responses to wildfires, weather changes, and agricultural needs.

The company plans to run Google’s open AI model Gemma on its satellite and eventually integrate NVIDIA’s next-generation Blackwell GPUs, boosting computing power even further.

Johnston predicts that within a decade, most new data centres will be built in orbit. If achieved, Starcloud’s innovation could mark the beginning of a sustainable digital revolution powered by the stars instead of the grid.

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Teenagers turn to AI for learning but struggle to spot false information

A new Oxford University Press (OUP) report has found that most teenagers are using AI for schoolwork but many cannot tell when information is false. Over 2,000 students aged 13 to 18 took part, with many finding it hard to verify AI content.

Around eight in ten pupils admitted using AI for homework or revision, often treating it as a digital tutor. However, many are simply copying material without being able to check its accuracy.

Assistant headteacher Dan Williams noted that even teachers sometimes struggle to identify AI-generated content, particularly in videos.

Despite concerns about misinformation, most pupils view AI positively. Nine in ten said they had benefited from using it, particularly in improving creative writing, problem-solving and critical thinking.

To support schools, OUP has launched an AI and Education Hub to help teachers develop confidence with the technology, while the Department for Education has released guidance on using AI safely in classrooms.

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Abu Dhabi deploys AI-first systems with NVIDIA and Oracle

Oracle and NVIDIA have joined forces to advance sovereign AI, supporting Abu Dhabi’s vision of becoming an AI-native government by 2027.

The partnership combines the computing platforms of NVIDIA with Oracle Cloud Infrastructure to create secure, high-performance systems that deliver next-generation citizen services, including multilingual AI assistants, automatic notifications, and intelligent compliance solutions.

The Government Digital Strategy 2025-2027 of Abu Dhabi, backed by a 13-billion AED investment, follows a phased ‘crawl, walk, run’ approach. The initiative has already gone live across 25 government entities, enabling over 15,000 daily users to access AI-accelerated services.

Generative AI applications are now integrated into human resources, procurement, and financial reporting, while advanced agentic AI and autonomous workflows will further enhance government-wide operations.

The strategy ensures full data sovereignty while driving innovation and efficiency across the public sector.

Partnerships with Deloitte and Core42 provide infrastructure and compliance support, while over 200 AI-powered capabilities are deployed to boost digital skills, economic growth, and employment opportunities.

By 2027, the initiative is expected to contribute more than 24 billion AED to Abu Dhabi’s GDP and create over 5,000 jobs, demonstrating a global blueprint for AI-native government transformation.

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Oxford scientists achieve quantum teleportation milestone

Scientists at the University of Oxford have achieved quantum teleportation between two quantum computers, marking a major step toward distributed quantum computing. The experiment successfully transmitted a quantum algorithm wirelessly between processors using quantum entanglement.

Rather than moving physical matter, the process transferred data instantaneously by linking qubits, the basic units of quantum information. The two computers, though separated by two metres, shared data as if operating as one, greatly enhancing their combined computing power.

The British breakthrough demonstrates how multiple quantum systems could one day work together as a single global supercomputer. Researchers say the approach could enable quantum networks and lay the groundwork for a future quantum internet capable of unprecedented speeds and security.

Quantum teleportation works by using pairs of entangled particles that remain connected across any distance. While humans and objects cannot yet teleport, the technology could soon allow scientists to connect remote machines into unified, ultra-powerful computing systems.

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OpenAI and Broadcom unite to deploy 10 gigawatts of AI accelerators

The US firm, OpenAI, has announced a multi-year collaboration with Broadcom to design and deploy 10 gigawatts of custom AI accelerators.

The partnership will combine OpenAI’s chip design expertise with Broadcom’s networking and Ethernet technologies to create large-scale AI infrastructure. The deployment is expected to begin in the second half of 2026 and be completed by the end of 2029.

A collaboration that enables OpenAI to integrate insights gained from its frontier models directly into the hardware, enhancing efficiency and performance.

Broadcom will develop racks of AI accelerators and networking systems across OpenAI’s data centres and those of its partners. The initiative is expected to meet growing global demand for advanced AI computation.

Executives from both companies described the partnership as a significant step toward the next generation of AI infrastructure. OpenAI CEO Sam Altman said it would help deliver the computing capacity needed to realise the benefits of AI for people and businesses worldwide.

Broadcom CEO Hock Tan called the collaboration a milestone in the industry’s pursuit of more capable and scalable AI systems.

The agreement strengthens Broadcom’s position in AI networking and underlines OpenAI’s move toward greater control of its technological ecosystem. By developing its own accelerators, OpenAI aims to boost innovation while advancing its mission to ensure artificial general intelligence benefits humanity.

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