PolicyBrief
H.R. 9372
119th CongressJun 25th 2026
Data Infrastructure Energy Measurement and Standards Act
AWAITING HOUSE

This bill directs NIST to develop best practices for measuring data center energy and water use, with a focus on AI workloads, and to study data availability for improved energy demand forecasting.

Suhas Subramanyam
D

Suhas Subramanyam

Representative

VA-10

LEGISLATION

Data Centers and AI Face New Utility Yardstick: NIST to Standardize Energy and Water Tracking by 2027

Every time you ask an AI to write an email or generate an image, a massive warehouse full of servers somewhere hums a little louder and drinks a little more water for cooling. Right now, we don’t have a universal way to measure exactly how much juice these data centers are pulling from the grid or how much local water they’re evaporating. The 'Data Infrastructure Energy Measurement and Standards Act' aims to fix that by tasking the National Institute of Standards and Technology (NIST) with creating the 'gold standard' for measuring the environmental footprint of our digital lives. Starting with a $10 million annual budget in 2027, the bill focuses heavily on the 'compute-intensive' workloads of AI, ensuring we aren't just guessing how much power these tech hubs require.

Squaring the Bill for the Digital Grid

For anyone who has seen their local utility rates climb, this bill is about getting the math right before the lights flicker. It directs NIST to study 'behind-the-meter' generation—think of a data center with its own massive battery backup or solar farm—to see how that impacts the broader power grid. By developing standardized metrics, the government wants to help grid operators forecast demand more accurately. If you’re a homeowner or a small business owner, this matters because better forecasting means fewer surprise peaks in demand that can drive up everyone’s electricity bills or lead to brownouts during heatwaves. The bill specifically looks at how local climates and different cooling setups (like liquid cooling versus traditional fans) change the resource math from one zip code to the next.

The AI Reality Check

Artificial Intelligence is a power-hungry beast, and this legislation treats it as a unique challenge. It pushes for research into the specific energy spikes that happen when a model is being 'trained' versus when it’s just answering user prompts. By creating clear definitions and data-sharing mechanisms, the bill aims to move us past vague estimates and toward hard numbers. This isn't just for the tech giants; it's designed to give researchers and state agencies the data they need to plan infrastructure. Whether you’re a construction worker building these facilities or a coder using them, the goal is to ensure the infrastructure supporting the 'cloud' doesn't unintentionally drain the local water table or overwhelm the local substation.

Measuring Twice, Cutting Once

While the bill is largely a win for transparency, it does leave some wiggle room that could get complicated. It asks for the 'full and open exchange' of data between agencies and industry 'as practicable,' which is often policy-speak for 'if the companies agree to it.' Since much of this data is considered a trade secret, the real-world impact will depend on how well NIST can convince tech companies to open their books. However, by coordinating with international partners, the bill tries to ensure that a server in Virginia follows the same energy rules as one in Europe, preventing a 'race to the bottom' where companies move data to wherever the regulations are the fuzziest. It’s a move toward treating data centers less like mysterious black boxes and more like the essential—and resource-heavy—utilities they have become.