Artificial intelligence is driving innovation at an unprecedented pace—and at the heart of this transformation lies the rise of AI data centers. These massive, high-performance facilities are designed to handle the enormous computational demands of training and deploying AI models. Their scale, complexity, and speed of growth are reshaping industries far beyond tech, with ripple effects that directly impact manufacturing.
For small and mid-sized manufacturers (SMMs), AI data centers present both challenges and opportunities. Understanding the infrastructure that powers them—and how manufacturers can integrate with this new supply chain—is critical to staying competitive in a rapidly changing economy.
Unlike traditional data centers, AI data centers are optimized for heavy, high-density workloads. They require significantly more power, more advanced cooling, and specialized infrastructure to support accelerated computing systems like GPUs and AI chips. Some estimates suggest that AI data centers may use 3–5 times more electricity per square foot than conventional centers.
These unique demands mean that the industries supporting AI data centers—energy, construction, cooling technology, and steel fabrication—must innovate rapidly to meet requirements. Manufacturers who provide advanced electrical systems, precision steel components, or thermal management solutions will find themselves at the center of a global buildout expected to grow exponentially over the next decade.
Supply Chain Opportunities – AI data center development is a major driver of demand for power distribution equipment, transformers, cooling systems, and structural steel. Manufacturers with the ability to adapt product lines or meet stringent quality standards will find new customers in this emerging market.
Technology Spillover – The technologies being scaled in AI data centers, such as advanced cooling and energy management, will eventually filter down into other industries. Manufacturers who understand and adopt these innovations early can apply them to their own operations, reducing costs and boosting efficiency.
AI on the Factory Floor – While manufacturers supply parts and infrastructure for AI data centers, they can also leverage AI within their own facilities. Predictive maintenance, quality inspection, and production optimization are just a few areas where AI-driven tools can reduce downtime and improve throughput.
In short, manufacturers are not only suppliers to AI data centers—they are also beneficiaries of the broader AI revolution.
Catalyst Connection is committed to helping manufacturers understand and prepare for this shift. A series of upcoming events will dive deep into AI data centers, their infrastructure, and practical AI applications in manufacturing. These sessions are designed to help manufacturers identify opportunities, explore partnerships, and bring AI-driven improvements into their own operations.
Sept. 11 – Webinar – AI Data Centers: Power and Electrical Infrastructure
Explore the massive electrical demands of AI data centers and how manufacturers can position themselves in the energy supply chain.
Oct. 1 – AI Data Center Supply Chain Forum for Manufacturers
Connect with industry leaders and discover where your company can fit into the rapidly expanding AI data center supply chain.
Oct. 2 – Webinar – AI Data Centers: Advanced Cooling
Dive into the cutting-edge cooling technologies needed to keep AI data centers efficient and sustainable.
Nov. 20 – Webinar – AI Data Centers: Steel Infrastructure
Examine the structural steel requirements of AI data centers and the opportunities they create for steel and fabrication manufacturers.
AI data centers are not a passing trend—they are the foundation of tomorrow’s digital economy. For manufacturers, they represent a chance to grow, diversify, and innovate. By staying informed and actively engaging with industry shifts, small and mid-sized manufacturers in our region can seize the opportunities of this new era.