AI Data Centers Drive Up Electricity Costs for US Manufacturers

by Anika Shah - Technology
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AI Data Center Growth Drives Electricity Costs for U.S. Manufacturers

AI-driven data center expansion is causing electricity costs to surge for American manufacturers, particularly within the PJM Interconnection grid region. According to a Reuters report, capacity charges—fees paid to ensure power availability during peak demand—have spiked as massive server warehouses compete for limited energy supplies, forcing some legacy factories to raise prices or shift production hours to survive.

Why are industrial power bills rising in the Rust Belt?

The primary driver is a massive imbalance between the speed of data center construction and the pace of power generation. Jeff Shields, a spokesperson for PJM Interconnection, stated that data centers “can be built faster than the generation needed to serve them.”

Why are industrial power bills rising in the Rust Belt?

This imbalance is most acute in the 13-state PJM region, which spans from New Jersey to northern Illinois and south to Tennessee. According to Synergy Research Group, five of the eight emerging data center hubs are located in the Rust Belt. Because a single server warehouse can consume as much electricity as a mid-sized town, the sudden demand has pushed capacity prices to record highs.

The financial impact is concentrated in “capacity charges.” PJM’s price for these charges jumped from $28.92 per megawatt-day in 2024 to $329.17 now—a rise of approximately 1,038%. Data centers accounted for about 40% of the $16.4 billion in costs from the most recent auction, according to Reuters.

How does this affect traditional manufacturing?

Manufacturers often share the same rate class as data centers, meaning they don’t receive the same protections as residential consumers. This has led to a sharp divergence in price increases between homes and factories.

Understanding PJM Interconnection: Powering the Grid Efficiently
State Industrial Price Increase Household Price Increase
Pennsylvania 31% 14%
Ohio 26% 9%
U.S. National Average 7%

Source: Reuters calculations based on Energy Department data (year ending December 2025).

Real-world examples of this “squeeze” include:

  • Belden Brick Company: The 141-year-old manufacturer saw its monthly capacity charge climb from $1,600 to $12,000. Brad Belden noted that some companies are now “on the razor’s edge” after the firm raised brick prices by 4% to offset shrinking profits.
  • Plaskolite: This plastics manufacturer reported that annual capacity charges across its Pennsylvania and Ohio plants jumped from $200,000 to $1.2 million. The company is now considering a direct natural gas feed to bypass the grid.
  • Tosoh SMD: The electronics-materials firm in Grove City, Ohio, is evaluating moving production to the “graveyard shift” to take advantage of cheaper off-peak power.

What are the policy and infrastructure responses?

Industry advocates and regulators are clashing over who should foot the bill for grid upgrades. Aaron Tinjum of the Data Center Coalition argues that the surge is forcing “overdue grid upgrades” and points to the retirement of older power plants and transmission limits as contributing factors.

What are the policy and infrastructure responses?

The regulatory environment remains volatile. The Federal Energy Regulatory Commission (FERC) has proposed that firms with onsite generation pay transmission charges on that power, a move currently being appealed by manufacturers. Additionally, at least 10 states are developing their own specific rules for data centers.

From a political standpoint, the White House reported that Donald Trump has hosted tech firms to sign a “ratepayer protection pledge” and has ordered new PJM power plants to be funded by the tech companies. To bridge the energy gap, the industry is increasingly betting on nuclear energy, including a record run of SMR deals.

Paul Cicio of the Industrial Energy Consumers of America emphasized the distinction between the two sectors, stating, “Manufacturers are not data centers.” As the AI boom continues, the cost of maintaining America’s oldest industrial assets is becoming a critical variable in the push for domestic manufacturing revival.

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