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The Express Gazette
Friday, October 30, 2026

AI Race Demands Vast Energy Infrastructure, Risking Ratepayer Burden

America's pursuit of artificial intelligence leadership faces a critical bottleneck in electricity generation and grid capacity, necessitating private sector financing and robust cybersecurity to avoid increased costs for consumers.

US Politics • 2 hours ago
AI Race Demands Vast Energy Infrastructure, Risking Ratepayer Burden

The global race to lead in artificial intelligence (AI) hinges not only on technological advancements but also on a nation's ability to provide reliable, affordable, and secure electricity, according to Brian Harrell, former Assistant Secretary for Infrastructure Protection at the U.S. Department of Homeland Security. The expansion of AI capabilities is heavily reliant on data centers, which require immense amounts of power and robust grid connections. Without sufficient energy infrastructure, the potential of advanced AI systems remains unrealized, presenting both challenges and opportunities for American electric utilities.

To secure a leading position in AI, the United States must increase domestic energy production, expedite infrastructure development, bolster defenses against cyber threats, and ensure that the expansion is financed by the private sector rather than residential ratepayers. This requires coordinated efforts among the administration, Congress, state governments, and private industry to prioritize an energy strategy that supports American competitiveness.

Private Sector Financing for Infrastructure Growth

Electric utilities possess the technical expertise for data center expansion, understanding grid reliability and regional demand. However, the lengthy timelines for planning, permitting, and constructing new generation facilities and transmission lines can lag behind the rapid pace of data center development. Collaboration between utilities and data center developers is essential for aligning construction schedules and investment.

Crucially, data center developers must assume responsibility for the infrastructure costs their significant electricity consumption generates. The White House's Ratepayer Protection Pledge underscores the principle that AI innovation should not come at the expense of consumers subsidizing Big Tech's infrastructure needs. Transparent cost allocation, enforceable commitments from large data center customers, and safeguards against ratepayers bearing stranded costs are necessary.

Achieving Energy Abundance

Achieving energy dominance requires generating sufficient electricity to power an expanding economy. An "all-of-the-above" energy strategy, prioritizing reliability, affordability, and availability, is vital. This includes leveraging natural gas for dispatchable generation, nuclear energy for baseload power, and other sources like hydroelectric, wind, solar, and battery storage where economically viable. The objective is to build enough reliable capacity to meet rising demand without inflating energy prices, especially as data centers increasingly compete for power with other critical sectors.

Cybersecurity for a Connected Grid

The interconnectedness of the electric grid and digital infrastructure presents a significant cybersecurity challenge. Power disruptions can halt computing services, and cyber incidents at technology providers can impact critical infrastructure. Foreign adversaries and cybercriminals pose threats to both utility operations and data center environments.

Joint incident response plans, multisector exercises, and secure threat intelligence sharing between utilities and data center operators are essential. Strengthening network segmentation, multi-factor authentication, and vulnerability management are critical steps. Supply chain security must also be a focus, with rigorous assessment of vendors and protocols for addressing compromised components. While the federal government can provide threat intelligence, security frameworks should remain risk-based and practical.

Data Centers as Grid Assets

Data centers can also contribute to grid flexibility. Shifting AI training workloads to off-peak hours can help manage demand. Furthermore, on-site generation and battery storage can enhance grid stability during emergencies, transforming data centers into assets that strengthen, rather than strain, the nation's energy future.


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