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Будівельні панелі передбачають рахунок за витрати на мережу центру обробки даних штучного інтелекту

Двопартійний законопроект вимагатиме від великих споживачів електроенергії, таких як центри обробки даних, щоб покривати витрати на мережеву інфраструктуру, повідомляє CBS News.

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Source-provided image accompanying House panel advances bill on AI data center grid costs
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cbsnews.com
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cbsnews.comhttps://www.cbsnews.com/colorado/news/gabe-evans-bill-data-centers-colorado-congressman/
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CBS News reports that Rep. Gabe Evans’s bipartisan Ratepayer Protection Act cleared the House Energy and Commerce Committee unanimously and is expected to receive a House vote this week. The bill would set federal standards for state utility regulators handling new electricity customers requiring at least 100 megawatts, including data centers.

CBS News reports that the Ratepayer Protection Act, sponsored by Colorado Republican Rep. Gabe Evans, passed the House Energy and Commerce Committee 52-0 in July. Evans said the bill has 41 House cosponsors and is expected to receive a House vote this week.

The legislation would apply to new large-load customers with electricity demands of 100 megawatts or more. It would direct state utility regulators to consider financial assurances intended to cover generation, transmission, and related infrastructure needed to serve that demand.

The proposal is presented in the context of growing electricity needs from data centers, including a recently approved OpenAI-operated facility in Weld County, Colorado. CBS News reports Evans said the bill is intended to prevent residents and existing ratepayers from bearing costs if a data center scales back operations or disconnects.

The source does not independently confirm the bill’s text, its likelihood of passing the House or Senate, or the eventual financial obligations for AI companies and other large-load customers. The bill is not law, and the source does not document any current change in electricity rates or data center construction.

Деталі джерела: cbsnews.com ↗

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The proposal could affect how rapidly AI data centers are built and who pays for the generation, transmission, and other grid upgrades they require. If enacted, it could reduce the risk that existing utility customers absorb costs when a large facility changes plans or leaves. The bill has not passed the House or Senate, and its final requirements, implementation, and effect on electricity prices remain unknown.

AI data centers can require substantial new generation, transmission, and local grid equipment. A policy that places more of those costs on the customers creating the demand could change project economics and the location or timing of future facilities.

The proposal also addresses a practical risk for communities: infrastructure may be built for a planned data center while residents or other customers remain responsible if the project is delayed, reduced, or abandoned.

Because the bill would establish standards for state regulators rather than directly set a nationwide electricity price, its effect would depend on implementation and on the final statutory language. No price impact, project cancellation, or deployment change is documented.

The source attributes the bill’s rationale and expected bipartisan support to Evans. Those expectations are not independently confirmed, and Senate consideration is uncertain because Evans said the chamber has a backlog of bills.

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The next significant developments are the House vote, any amendments, and whether the Senate takes up the bill. The practical impact will depend on the final definition of covered customers, the required financial assurances, and how state regulators apply the federal standards.

Whether the House votes this week and whether lawmakers amend the 100-megawatt threshold or the financial-assurance provisions.

Whether the Senate schedules the bill, and whether utilities, data center operators, consumer advocates, or state regulators seek changes.

The final rules for allocating generation, transmission, and other infrastructure costs, including what happens when a large customer reduces demand or leaves.

Any documented effect on electricity bills, data center approvals, or the timing and location of AI infrastructure projects.

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