Construction sites for artificial intelligence data centers across the United States have become targets for thieves seeking copper wiring and other equipment, a problem that industry reports say is costing the sector tens of millions of dollars each year and adding pressure to already tight timelines for deploying new AI systems. The total estimated loss from construction site thefts in the data center sector reached $50 million in 2024, according to the reports, which describe a growing challenge that is rippling through the supply chain and raising the prospect of higher costs for AI services.
Scale of the Problem and Immediate Costs
Each theft incident at a data center construction site can delay a project by two to four weeks, industry reports indicate. Those delays add labor and material costs on top of the value of the stolen goods.
Copper wiring remains a prime target for thieves because of its scrap value; it is used extensively in data center power and cooling systems. The cost of replacing stolen copper has climbed further because copper prices remain high. The thefts are not limited to copper wire; other equipment is also being taken from construction sites, the reports show.
Insurance claims for construction site theft across the data center sector increased by 25 percent in 2024, according to the same industry reports. The $50 million figure for 2024 represents a snapshot of a problem that appears to be accelerating, as the 25 percent rise in insurance claims suggests a clear upward trend.
The reports do not specify which regions or companies have been hit hardest, but the scale of the losses — tens of millions of dollars annually — points to a widespread issue across the sector.
Broader Impact on AI Infrastructure and Deployment
AI data centers are specialized facilities that house the powerful computer hardware and cooling systems required to train and run artificial intelligence models. Computing infrastructure has evolved over several decades. Early data centers focused on basic storage and business records.
The rise of the internet and cloud computing expanded these sites into massive hubs. Recent advances in machine learning created a need for even more power and specialized hardware, leading to a rapid increase in construction projects to support the high energy demands of modern AI.
These facilities provide the physical capacity needed to process vast amounts of data. Delays in construction can slow the release of new software and tools. The timeline for AI model deployment is already tight; companies racing to train and release new systems need data centers operational on schedule. Each theft that delays construction pushes that timeline further out.
Because these sites rely on specific materials for power and cooling — copper wiring being a key component — disruptions to the supply chain or construction process affect the broader tech economy.
Outlook and Choices for Developers
Developers of AI data centers face a fundamental choice: absorb the rising costs from theft and delays, or pass them along to clients. Industry reports indicate that some developers are choosing the latter, meaning clients — and eventually end users — may bear part of the burden.
The cost of replacing stolen copper wiring has risen because copper prices remain elevated, adding further pressure. If developers continue to pass these costs along, the price of AI services could increase. What to watch next is whether developers will invest in more robust security measures at construction sites, or whether the trend of passing costs to clients will accelerate as copper prices remain high.
The 2025 theft figures, when available, will show whether the 2024 increase was a one-year spike or the start of a longer trend. For now, the combination of high copper prices, rising insurance claims, and tight deployment schedules suggests that theft from AI data center construction sites will remain a significant concern for the industry and the broader economy that depends on its output.
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