Arm Limited
We design microprocessors and related IP for use in a wide variety of products.
ID: 532086816465-17
Lobbying Activity
Meeting with Thomas Skordas (Deputy Director-General Communications Networks, Content and Technology) and
8 Dec 2025 · Exchange of views on the European HPC developments, including AI Factories/ Gigafactories initiative and CHIPs Act
Response to Evaluation and Revision of the Chips Act ("Chips Act 2.0")
26 Nov 2025
Arm welcomes the consultation and stresses that, although the first Chips Act strengthened Europes R&D, via pilot lines, the gap to large-scale manufacturing in advanced compute remains. Europe must translate its strong research base into commercial and strategic impact. Europes Semiconductor Opportunity Compute demand is rising exponentially, driven by AI and data-intensive applications. Europes strengths in chiplets, photonics, and power electronics can form the basis of leadership in next-generation architectures, provided innovations reach the market. From Lab to Fab to Market EU collaborative R&D works; the next step is ensuring industrial deployment. Open, interoperable standards, such as Arms Foundation Chiplet System Architecture, can accelerate modular system innovation. Leveraging Production-Grade IP Europe should adopt production-ready solutions from trusted, like-minded partners. Arm Compute Subsystems (CSS) provide validated, export-compliant platforms enabling faster, more secure paths to tape-out. Upgrading EuroCDP The European Chips Design Platform must become a full system-level innovation environment. This requires integrating Arm CSS, digital-twin EDA tools, chiplet interoperability standards, and scalable access for SMEs. Energy-Efficient AI Priority AI is both an opportunity and an energy challenge. Edge and distributed compute can reduce AI energy use by up to 60%. Custom silicon delivers superior efficiency3050%, and up to 4× for inference workloadsby tailoring compute, memory, and interconnect. Policy Recommendations Expand the design dimension of the Chips Act; adopt production-grade compute IP; upgrade EuroCDP; align semiconductor, AI, and energy policies; and reinforce funding for pilot production and advanced packaging. Conclusion Europe now has the chance to pair research excellence with industrial-scale deployment. With system-level design, efficient compute platforms, and open collaboration, Europe can lead in secure, sustainable semiconductor innovation.
Read full responseResponse to Roadmap for artificial intelligence and digitalisation for energy (RAID-E)
5 Nov 2025
Arm welcomes the opportunity to offer our views on how the EU can best leverage the power of AI and digital technologies in the energy sector. Smarter at the Edge: How Edge Computing Can Advance Europes AI Leadership and Energy Resilience Artificial Intelligence (AI) is accelerating across Europe, reshaping industry, infrastructure, and competitiveness. Yet its energy demand is growing faster than grid capacity. Data centres already consume around 3 % of EU electricity and could quadruple by 2030. Arm welcomes the European Commissions initiative to further boost the deployment of digitalisation and AI particularly in the energy sector. Edge computing, processing data and inference close to where they are generated, offers a practical solution. Research from Arm shows edge deployment can cut energy use by up to 60 % for equivalent workloads. For Europe, this represents an opportunity to scale AI sustainably, while reinforcing energy security and digital sovereignty. A. Europes AI Energy Challenge Inference now accounts for over 70 % of AI compute demand globally. Even as chips and workloads become more efficient, total consumption continues to rise. The Strategic Roadmap for Digitalisation and AI in the Energy Sector recognises this risk and calls for energy-efficient AI deployment and better coordination of data-centre integration into electricity grids. B. Edge Computing as a Strategic Enabler Edge AI brings computation closer to users, on devices, industrial sites, vehicles, and energy assets. It cuts latency and bandwidth use while keeping sensitive data local, reinforcing Europes emphasis on trust, privacy, and security under the AI Act and the Cyber Resilience Act. Examples already show impact: -Smart grids balance variable renewables and manage storage in real time. -Industrial IoT reduces energy waste by 3050 % through AI-driven optimisation. -Healthcare and mobility systems deliver on-device analytics while complying with data-sovereignty rules. Europes IoT and multi-agent innovation landscape, where devices collaborate and reason locally, further amplifies these gains, reducing the need for constant cloud access. C. From Energy Consumer to Optimiser AI can transform from energy user to energy manager. Embedding intelligence in grid equipment, renewables, and data centres enables predictive control, demand-side flexibility, and dynamic load shifting. For example, workloads can be moved to regions with high renewable output or during off-peak hours, while edge agents coordinate distributed energy resources. This turns digitalisation into an active driver of decarbonisation. D. Policy Alignment and Industrial Opportunity Europes legislative frameworkthe AI Act, NIS2 Directive, and Cyber Resilience Actcreates the trust base for AI adoption. The Strategic Roadmap adds clear goals: foster research, enable AI testbeds, and ensure sustainable integration of digital infrastructure. To succeed, Europe must link its semiconductor and software innovation ecosystems to these policy aims. Arms efficient-by-design and secure architectures and Europes emerging IoT multi-agent frameworks show how open, interoperable systems can underpin both energy efficiency, industrial competitiveness and security. RECOMMANDATIONS: 1. Create EU-level Edge AI testbeds in energy, mobility, and public infrastructure to validate efficiency and security. 2. Embed energy-performance metrics in AI and cloud procurement under Horizon Europe and CEF-Energy. 3. Capitalize on interoperability and existing industry standards, leveraging initiatives like the Model Context Protocol for multi-agent coordination and using the Arm ecosystem for chips. 4. Invest in efficient chip designs and distributed AI R&D through the Chips Act and Green Deal Industrial Plan. 5. Align funding and regulation to ensure AI contributes measurably to grid stability and decarbonisation.
Read full responseMeeting with Thierry Breton (Commissioner) and
5 Jun 2023 · defense
Meeting with Fabrice Comptour (Cabinet of Commissioner Thierry Breton)
7 Sept 2020 · Data, microelectronics and connectivity
Meeting with Roberto Viola (Director-General Communications Networks, Content and Technology) and Atos SE (France)
10 Jun 2016 · Large data servers - high end computing