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America Won’t Win the AI Race Without Data Center Efficiency
Bill Wright, Head of Government Affairs at Everpure, makes the case for AI-ready data infrastructure that supports national innovation without burdening taxpayers.

The race for AI is a marathon of efficiency. We must build a digital foundation that is policy-driven, autonomous, and, above all, sustainable for the American citizen.

The United States is currently locked in a global sprint to define the future of artificial intelligence—a race that depends on the ability to store, move, protect, and analyze massive amounts of data in real time. From mission-critical databases to large-scale machine learning training, the demand for data is insatiable.
As the nation builds the data centers required to win the AI race, we face a grim truth: our national power grid risks buckling under the strain. As importantly, we cannot allow the energy requirements of our digital expansion to be financed by American families already strained by rising costs of living.
To train, secure, and deploy AI at scale, the federal government and industry must make data center infrastructure efficiency a national priority.
Protecting taxpayers must be part of the data center buildout
The White House’s recently enacted Ratepayer Protection Pledge is a landmark commitment to this challenge. By ensuring that the AI boom does not drive up electricity costs for American families, the government is asking the technology sector to do more than just innovate. It is asking for better stewardship of critical national resources.
The scale of the AI-driven data center expansion is staggering; the projected 800 TWh surge in U.S. electricity demand through 2030 is equivalent to 1.5 times the total power currently consumed by Germany. With AI workloads alone expected to drive 60% of this growth, the nation has entered a structural 'supercycle' of energy demand that requires a fundamental build-out of new infrastructure.
The good news is that the technology required to meet this challenge already exists. American innovation has already produced data platforms capable of unleashing the power of data without the massive environmental or fiscal tax of legacy systems. However, achieving the White House’s goals requires a fundamental rethink of how we manage the nation's digital infrastructure, and how we can do so efficiently.
How legacy infrastructure creates a hidden tax
For too long, the hidden tax of the digital age has been physical and energy inefficiency. Legacy data storage technology is notoriously power-hungry and bloated, forcing government agencies and industry to over-provision energy capacity, maintain complex hardware footprints, and execute costly replacement cycles that consume budget, resources, time, and energy. If we continue to build AI infrastructure using yesterday’s inefficient standards, the industry will inevitably fail the Ratepayer Protection Pledge. AI workloads require speed and access to high-quality data. Building tomorrow’s AI capabilities on yesterday’s infrastructure assumptions will ultimately increase operating costs, intensify energy demand, and slow mission delivery across government.
We must utilize AI-ready infrastructure that prioritizes density and efficiency by design. Advanced architectures now allow the public and private sectors to scale capacity on demand and support data-intensive workloads without the rip-and-replace cycles that generate such massive amounts of e-waste and taxpayer money.
Policy can further accelerate the shift to deployment of high-performance compute that align with measurable efficiency outcomes. Federal grants, for example, can require specific energy-reduction benchmarks.
Winning the AI race without passing the bill to citizens
As the effort to modernize federal information technology and streamline government efficiency continues, a service-based model for storage allows the government to consume data management as a managed service that stays current without disruptive, energy-intensive upgrades.
The race for AI is a marathon of efficiency. We must build a digital foundation that is policy-driven, autonomous, and, above all, sustainable for the American citizen. By championing these existing technological standards, we can ensure that the most advanced data infrastructure in the world is also the most responsible.
Together, we can power the next century of American innovation without leaving the American ratepayer behind.
The views and opinions expressed are those of Bill Wright and do not represent the official policy or position of any organization.




