Attention Manufacturing Companies: Here’s How to Ensure Your AI Investment Won’t Cost More Than It Delivers
In 2025, U.S. manufacturers are already reporting $50 billion per year in lost revenue due to downtime— and nearly a third of that stems from equipment failures.1 AI has been hailed as a way to turn those losses around—and ease the wider pressures that erode productivity and margins. But despite its transformative potential, adoption remains low in the sector, with only 29% of manufacturers using AI/ML at the facility or network level.2
At first glance, that slow uptake might seem like hesitation or lack of vision. But it may point to a different issue entirely—a lack of infrastructure needed to support AI at scale.
The Hidden Barrier
AI doesn’t fail because the models are wrong. It fails because the systems underneath them aren’t built to carry the load. To run AI in a modern factory, the infrastructure needs to be able to handle streams of sensor data, shift with demand or supply changes in real time, and protect sensitive information in a highly connected ecosystem.
Most manufacturing environments weren’t designed for that. They’re still running on aging servers, siloed systems, and patchwork fixes layered one on top of the other. Those systems struggle to handle today’s workloads. Add AI into the mix, and instead of unlocking efficiency, it creates bottlenecks, burns through energy, and stalls projects that were supposed to prove ROI.
What Smarter Infrastructure Makes Possible
Only with the right foundation can the power of AI be unleashed in a way that delivers tangible business benefits. Here’s what that looks like:
- Production keeps moving when supply chains slip or demand swings. Systems adjust in real time, so schedules don’t fall apart over a late truck or a sudden spike in orders.
- Problems get caught early. Small deviations trigger action before they snowball into a line stoppage, protecting output and avoiding expensive scrambles.
- Capacity scales cleanly. Systems expand without the sprawl of extra racks or runaway complexity.
- Efficiency and sustainability rise together. Smarter compute uses less energy and reduces waste while maintaining throughput—good for margins and for the report you owe investors and regulators.
Putting it into Practice
The question isn’t whether AI belongs in manufacturing—it does. The real question is whether your factory can make it work. That takes infrastructure built with AI in mind and a partner who knows how to put it into play.
Hewlett Packard Enterprise (HPE) ProLiant Compute Gen12 provides the foundation manufacturers need to run demanding AI workloads with stability, efficiency, and security. ProCern Technology Solutions makes sure that foundation is configured, deployed, and supported in the context of your operation. Together, HPE and ProCern make AI practical—giving you a clear path from early adoption to long-term advantage.
Read more about how industry leaders in
manufacturing are unlocking AI ambitions.