Europe opens bidding for seven AI ‘gigafactories’ in a €30bn bid to catch up — 2026-07-30

## Short Segments IBM's strategic acquisition of HRL Laboratories is making waves in the quantum computing world. Just days after the deal, HRL unveiled a self-running silicon quantum processor in Nature, showcasing a technology IBM doesn't yet build. This move positions IBM to expand its quantum capabilities beyond its traditional superconducting transmons. The acquisition highlights IBM's commitment to diversifying its quantum portfolio, potentially accelerating advancements in quantum computing by integrating HRL's unique silicon spin qubits. As quantum computing continues to evolve, IBM's acquisition could redefine the competitive landscape, offering new pathways for innovation and collaboration. Procore is transforming construction management by acquiring DroneDeploy for $845 million. This acquisition integrates advanced reality-capture technology into Procore's platform, enabling AI to not only read blueprints but also visualize and analyze job sites in real-time. By adding drones, robots, and cameras, Procore aims to automate site observations and actions, enhancing efficiency and safety. This move underscores the growing trend of integrating AI with physical site management, potentially setting a new standard for construction technology and reshaping how projects are monitored and executed globally. Onyx Security is raising the stakes in AI governance with a $113 million funding round. As enterprises increasingly rely on AI agents, Onyx's secure AI control plane ensures human oversight remains integral. This funding, led by Bessemer Venture Partners, values Onyx at $640 million, reflecting the rising demand for AI security solutions. Onyx's technology acts as a safeguard, allowing humans to intervene in AI-driven processes, addressing concerns about autonomy and control in AI operations. This development highlights the critical role of security in the expanding AI landscape. OpenAI is expanding its hardware ambitions with a "family of devices," as confirmed by President Greg Brockman. While details remain sparse, Brockman emphasized that these devices aim to integrate AI into daily life, with voice interaction potentially replacing typing. This announcement comes amid ongoing speculation about OpenAI's hardware strategy, including potential smart speakers or wearables. As OpenAI ventures into hardware, it could redefine how users interact with AI, potentially challenging existing tech giants and reshaping the consumer tech landscape. Nscale is solidifying its position in the AI cloud market by acquiring Anyscale for approximately $1.65 billion. This acquisition adds the Ray software framework to Nscale's portfolio, enhancing its ability to manage AI workloads across its data centers and power infrastructure. By integrating Anyscale's software, Nscale aims to offer a comprehensive end-to-end AI cloud platform, strengthening its competitive edge. This move reflects the growing importance of software in optimizing AI infrastructure and could influence future developments in cloud-based AI solutions. AEREDIUM is revolutionizing stablecoin audits with a new patent for continuous AI-driven verification. This technology replaces traditional quarterly audits with a system that uses four independent AI models to monitor reserves in real-time. By recording verdicts on blockchain, AEREDIUM aims to enhance transparency and trust in digital asset reserves. This innovation could transform the stablecoin industry, offering a more efficient and reliable auditing process that aligns with the 24/7 nature of digital assets. ## Feature Story The European Union is making a bold move to close the AI gap with the United States and China by launching a €30 billion initiative to build seven AI "gigafactories." These massive computing hubs are designed to provide the EU with the computational power needed to train advanced AI models independently. The initiative, announced by the European Commission, aims to reduce reliance on foreign technology and bolster Europe's position in the global AI race. The gigafactories will be developed through a public-private partnership, with the EU and member states contributing €10 billion, while the remaining €20 billion is expected from private investors. This approach mirrors the strategy used by Tesla for its battery gigafactories, adapted here to produce AI processors, software, and cloud technology. The goal is to create a sovereign AI infrastructure that can support the development of cutting-edge AI technologies within Europe. This initiative is part of a broader effort by the EU to achieve tech sovereignty and reduce digital dependency. By establishing these gigafactories, Europe aims to become a leader in AI innovation, fostering a competitive environment that attracts talent and investment. The success of this project could redefine Europe's role in the global tech landscape, potentially influencing policy and regulatory frameworks for AI development worldwide. As the bidding process begins, the focus will be on selecting consortia capable of delivering these ambitious projects, with the first gigafactories expected to become operational by mid-2028.