Today, we are announcing a $50 billion investment in American computing infrastructure, building data centers with Fluidstack in Texas and New York, with more sites to come. These facilities are custom built for Anthropic with a focus on maximizing efficiency for our workloads, enabling continued research and development at the frontier. The project will create approximately 800 permanent jobs and 2,400 construction jobs, with sites coming online throughout 2026. It will help advance the goals in the Trump administration's AI Action Plan to maintain American AI leadership and strengthen domestic technology infrastructure. We are proud to create good American jobs and bolster American competitiveness.

"We're getting closer to AI that can accelerate scientific discovery and help solve complex problems in ways that weren't possible before. Realizing that potential requires infrastructure that can support continued development at the frontier," said Dario Amodei, CEO and co-founder of Anthropic. "These sites will help us build more capable AI systems that can drive those breakthroughs, while creating American jobs."

Phison Electronics, a global leader in NAND flash and AI infrastructure technologies, and RedData, an RPI-CS, Inc. division, today announced the availability of Phison's aiDAPTIV+ GPU memory extension technology integrated into RedData's secure solutions for U.S. Federal classified programs. Following the recent release of America's AI Action Plan, many federal agencies and system integrators are faced with implementing AI infrastructure using secure and future-proof methodologies. The collaboration between Phison and RedData addresses these critical requirements for affordable, secure, on-premises AI infrastructure within government use cases, the intelligence community and national labs. By leveraging Phison's aiDAPTIV+ AI solution, Federal agencies can affordably accelerate inference and scale large language model (LLM) training while maintaining compliance with classified environment requirements.

Today, the European Commission unveiled its AI Continent Action Plan, establishing a framework to enhance the EU's artificial intelligence computing infrastructure. The plan centers on developing five "AI Gigafactories," each housing approximately 100,000 specialized AI accelerator chips, quadrupling the training throughput capacity of current infrastructure projects. The €20 billion commitment from the EU's InvestAI fund will finance data center construction and semiconductor procurement, supplementing the €10 billion allocated to thirteen smaller AI factories scheduled to become operational by 2026. Site selection remains pending, though Germany's incoming administration under Chancellor designate Friedrich Merz intends to secure a facility within German territory. The Action Plan addresses data infrastructure through Data Labs tasked with standardizing datasets from research institutions and industry partners.

An upcoming Data Union Strategy will establish protocols for cross-border information sharing, creating a unified market for AI-ready data resources across member states. With only 13.5 percent of EU enterprises currently using AI in production environments, the Commission will implement an "Apply AI" initiative focusing on deployment in strategic sectors. This program will utilize European Digital Innovation Hubs to provide implementation support. For talent development, the plan includes fellowship programs, visa pathways for specialized non-EU professionals, and an AI Skills Academy offering training in generative models and machine learning operations. An AI Act Service Desk will provide technical guidance on regulatory compliance. The AI arms race is currently being fought on the front between the US and China, where AI labs are acquiring more accelerators and outputting better models almost weekly. In the EU, the goal is to have AI development on par with the two superpowers, leading to more competition and advancements.

The European Union has recently approved the AI Act, a new type of regulation to ensure the safe and responsible development of artificial intelligence (AI) within the EU. This legislation marks the first case in the global efforts to regulate AI, as it sets a new standard for transparency, accountability, and ethical considerations in AI development and deployment. The AI Act, also known as the KI-Gesetz, is designed to address concerns about the potential risks and negative impacts of AI on society. Key aspects of the regulation include the requirement for AI systems to be transparent and explainable, ensuring that they are not discriminatory and environmentally friendly. Furthermore, the AI Act emphasizes the importance of human oversight in AI development and deployment, ensuring that other technologies do not solely control AI systems.

The regulation also includes specific restrictions on certain AI applications, such as mass surveillance using biometric data or the evaluation of social behavior, similar to China's Social Scoring system. Additionally, emotion recognition, both in the workplace and educational settings, is prohibited under the new law. While the AI Act has been widely praised for its forward-thinking approach, there are also concerns about the potential limitations and challenges it may pose. The Digital Industry Association, Bitkom, has criticized the law for leaving certain questions unanswered and warning that the regulations may become outdated within two years. The AI Act is set to come into effect in the coming weeks, with full implementation expected by 2026. The regulation will apply to all entities developing, offering, or using AI systems within the EU, including both public and private parties. This comprehensive approach aims to ensure that AI is developed and used in a way that benefits society while minimizing potential risks.