Boosting U.S. investments by more than $10 billion

• More than doubling the production capacity of electric equipment to power critical American infrastructure such as AI data centers??

• New and expanded factories in Texas and California are expected to create over 900 skilled manufacturing jobs.??

• Biggest-ever investment in industrial software and AI with planned acquisition of Altair Engineering?

This week, we unveiled two state-of-the-art manufacturing facilities for electrical products in Fort Worth, Texas, and Pomona, California. The $285 million investment is expected to create over 900 skilled manufacturing jobs. The equipment produced will support AI data centers all over the country to support America’s leadership in the industrial AI revolution. With that, we are more than doubling the production capacity of electric equipment to power critical American infrastructure such as AI data centers.

In October 2024, we signed an agreement to acquire Altair. The combination with our existing software will create the world's most complete AI-powered design and simulation portfolio. This will allow users to design and manufacture more complex and smarter products faster – by simulating in the digital world, first. They could for example do a virtual crash-test for a new car design; or calculate in advance how a cell phone reacts to drops and thus develop the design optimally, before they build it in the real world. Powerful AI tools help along the way.?

“We believe in the innovation and strength of America’s industry. That’s why Siemens has invested over $90 billion in the country in the last 20 years. This year’s investment will bring this number to over $100 billion. We are bringing more jobs, more technology and a boost to America’s AI capabilities,” said Roland Busch .??

The global AI market is projected to grow 38% by the end of this year, with AI applications expected to reach 378 million users, a 20% increase from the previous year. Currently:

• 55% of businesses are already using AI.
• The other 45% are exploring implementation.??

AI is the engine of digitalization, transforming vast IoT data into actionable insights. 94% of business leaders see AI as key to future success. By integrating AI into buildings, factories, grids, and transport, companies automate operations, optimize processes, and drive efficiency.?

Beyond enhancing systems, AI unlocks new possibilities—helping utilities detect leaks, enabling virtual prototyping, and advancing the circular economy by refining recycling and resource tracking.?

AI is not just the greatest cost-cutter and efficiency booster of our time – it’s also a powerful tool to reduce environmental impact. However, this benefit raises an important question: How do we manage AI’s own growing energy consumption? Training large AI models requires a huge amount of computing power. According to the International Energy Agency (IEA) , data centers currently use about 1% of the world's electricity. With the growing use of AI, this number is expected to increase significantly.?

This growing demand underscores the urgency of finding energy-efficient solutions for AI infrastructure. Interestingly, AI itself can play a role in optimizing its own energy usage. By leveraging AI-driven strategies, we can align technological progress with environmental sustainability.?

• Siemens, represented by Cedrik Neike , played a key role at the EU AI Champions Action Summit in Paris. At the event, European Commission President Ursula von der Leyen announced InvestAI - a €200 billion initiative to boost AI innovation and industry in Europe. This includes a €20 billion fund for AI gigafactories, creating new opportunities for Siemens to help shape the future of AI manufacturing.?
• Agentic AI is evolving, with OpenAI 's Operator leading the way - an autonomous AI that browses the web to book services and manage tasks. In industry, Siemens is making this vision a reality with the Industrial Copilot. This AI assistant speeds up automation, cutting development time by up to 80% while enhancing both engineering and operations for greater efficiency in manufacturing and infrastructure.?
• Siemens is revolutionizing industrial robotics with the Sinumerik Machine Tool Robot (MTR), which improves path accuracy by 200-300% and increases productivity by 20-40%. This boosts precision and efficiency in manufacturing. Meanwhile, Meta Reality Labs is developing humanoid robots powered by its Llama AI models, designed to help with everyday tasks and bring AI-driven robotics into daily life.?