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  • NuScale’s 7% Give-Back Shows AI’s Power Question Is Who Pays for the Grid

    NuScale’s 7% Give-Back Shows AI’s Power Question Is Who Pays for the Grid

    TL;DR · 30-second read

    The Short Version

    Lawmakers are moving a bill that would make large data centers pay the full cost of the power lines and grid upgrades they need, rather than spreading that cost across everyone’s electricity bills.

    Shares of small nuclear companies jumped when the bill advanced, then handed the gains straight back. NuScale Power finished down about 7 percent, Oklo about 5 percent and Centrus Energy about 3 percent.

    Why it matters: these companies pay for new reactors and fuel plants largely by selling shares. When the share price swings on a vote, so does the money available to build.

    Shares of small-reactor and nuclear fuel companies rallied and then reversed around a House bill that would require data centers to cover the power costs their own loads create. According to reporting on the session that followed, NuScale Power fell about 7%, Oklo about 5% and Centrus Energy about 3%, giving back the gains the group had made when the measure advanced.

    The move landed in a week in which two of the three companies were actively raising money against their share prices. Oklo disclosed in an 8-K filed September 11 that it had entered an at-the-market equity program of up to $1 billion, and Centrus disclosed in an 8-K filed the same day that it had priced a $500 million offering of stock and warrants on September 9. Centrus followed on September 17 with an 8-K reporting a multi-year high-assay low-enriched uranium supply contract with Antares Nuclear.

    Executive Summary

    The underlying policy question is narrow and consequential: when a data center of several hundred megawatts connects to the grid, who pays for the transmission upgrades, generation reserves and network reinforcement that load requires — the data center, or the utility’s general ratepayer base? A House bill assigning those costs to the load itself reads, at first glance, as a tailwind for dedicated on-site generation, including small modular reactors, because it raises the cost of taking power from the public grid.

    The market tested that logic and then partly withdrew it inside a session. That is worth taking seriously rather than dismissing as noise, because the same rule that makes grid power more expensive also makes the buyers of small-reactor power more expensive to operate — and a bill that has cleared one chamber is not a tariff, a rule or a contract.

    What makes the swing operationally relevant is that valuation in this sector is not a scoreboard. It is working capital. Oklo’s $1 billion at-the-market program converts share price directly into build funding, and roughly $2 billion of Centrus’s potential proceeds sits in warrants that only pay out if the stock trades well above where the September offering priced.

    Cost Allocation Is the Real Variable Behind AI’s Power Demand

    Interconnecting a large load is not simply a matter of running a wire. A multi-hundred-megawatt data center — a megawatt is roughly the steady draw of several hundred homes — typically triggers network upgrades, new substations and reserve capacity that cost hundreds of millions of dollars and take years to build. The question of who pays for that has, until recently, been handled case by case by state regulators and grid operators, often with a meaningful share landing in the rates everyone pays. A federal rule assigning those costs to the load that caused them changes the arithmetic of every site selection decision in the industry.

    That is why the initial read was bullish for nuclear developers. If grid-delivered power carries the full loaded cost of the upgrades it requires, plus the multi-year queue wait, then dedicated generation sited at or near the campus stops competing against the cheap headline price of grid power and starts competing against the true all-in cost. Small modular reactors — factory-built units in the tens to few hundreds of megawatts, designed to be sited next to the customer — are positioned precisely for that comparison.

    The give-back is the part worth explaining, because it is where the simple version of the thesis breaks. NuScale’s roughly 7% decline, Oklo’s 5% and Centrus’s 3% came without any company-specific bad news attached to them. The plainest reading is that the same rule cuts in two directions at once: it raises the cost of grid supply, but it also raises the total cost of building and operating the data centers that are the presumed offtakers for on-site nuclear. A hyperscaler facing a larger interconnection bill has less budget, not more, and may respond by siting fewer campuses rather than buying more reactors. Whichever way that nets out, the affected parties are the same: data center developers pricing new sites, utilities and their regulators deciding what the general ratepayer absorbs, and the reactor and fuel companies whose demand case is built on the gap between those two answers.

    A Bill That Passed One Chamber Is Not a Tariff

    There is a second reason a policy rally can evaporate in a session. Legislation of this kind does not usually land as a self-executing rule. Cost responsibility for large loads sits across federal and state jurisdictions, and translating a statutory instruction into actual large-load tariffs, deposit and collateral requirements, minimum-take terms and network upgrade cost assignments is a rulemaking-and-litigation process measured in years — comfortably longer than the development timeline of most of the reactors being valued against it.

    None of that makes the bill unimportant. It means the market is pricing a direction of travel, not a set of terms, and direction-of-travel trades are exactly the ones that reverse when the second-order effects get counted. For readers evaluating these companies, the useful discipline is to ask what changed in contracted capacity, licensing position or customer commitments on the day — and in this case, for the reactor developers, nothing did.

    When Share Price Is the Construction Budget

    Here is where a one-session swing stops being abstract. Pre-revenue nuclear developers and capacity-expanding fuel suppliers fund themselves substantially by issuing equity, which makes the share price an input to the build, not a commentary on it.

    Oklo’s 8-K filed September 11 discloses an equity distribution agreement with ten sales agents — Goldman Sachs, BofA Securities, Citigroup, J.P. Morgan, Morgan Stanley, Barclays, Cantor Fitzgerald, Guggenheim, Canaccord Genuity and B. Riley — permitting up to $1 billion of Class A common stock to be sold at the market over time, at a commission of up to 1.5%, off a shelf registration declared effective December 4, 2025. An at-the-market program dispenses stock into the open market at prevailing prices at the company’s discretion; the dollar ceiling is fixed, so the number of shares required to reach it moves inversely with the price. A 5% lower share price means roughly 5% more dilution for the same construction dollar.

    Centrus shows the sharper version. Its September 11 filing and the accompanying release disclose an offering priced September 9 at a combined $199.64 per share of Class A common stock and accompanying warrants, comprising 500,000 shares, pre-funded warrants over 2,005,513 shares and common warrants over as many as 6,992,382 shares, for gross proceeds of approximately $500 million. The common warrants come in four series struck at $226.8625, $272.2350, $317.6075 and $362.9800 — between roughly 14% and 82% above the offering price — each series carrying an aggregate exercise price of about $500 million. That is roughly $2 billion of additional funding for domestic enrichment capacity that arrives only if the stock trades and holds well above where it priced, within tranches expiring between the second and fifth anniversaries of September 10, 2026. Policy-driven round trips of 3% to 7% do not decide that outcome on their own, but they are the increments that determine whether a strike price is reached, and they are the reason the grid cost-allocation debate has a direct line to how much enrichment and reactor capacity actually gets financed.

    The Part of the Chain That Isn’t Priced on Votes

    Centrus’s September 17 8-K and the attached release describe a different kind of event: a definitive multi-year contract to supply Antares Nuclear with high-assay low-enriched uranium — fuel enriched above the level used in conventional reactors, which most advanced designs require — with deliveries commencing before the end of the decade and prepayments from Antares to support expanded capacity. Prepayments are the operative detail. They are customer cash committed ahead of delivery, which is a materially firmer demand signal than a legislative headline.

    Two caveats keep this even-handed. First, the release positions the contract around defense and space missions: Antares, founded in 2023 and described as backed by over $600 million in funding, was selected for the U.S. Army’s Janus Program at Fort Bragg, the Air Force’s Advanced Nuclear Power for Installations program at Joint Base San Antonio and a Space Force award, with initial military deployments stated for 2028. It is not evidence of data center demand. Second, the contract’s value, volumes and prepayment amounts are not disclosed, so “adds another HALEU customer to the backlog” cannot yet be sized.

    Still, the contrast is the useful takeaway for anyone underwriting this sector. Centrus operates the American Centrifuge Plant at Piketon, Ohio, described in its release as the only licensed HALEU production facility in the western world, and is converting that position into binding orders with cash attached. That is a different asset class from a valuation that moves 3% on a chamber vote — and over time it is the one that determines whether AI-adjacent nuclear capacity gets built.

    Background

    The three companies sit at different points of the same chain. NuScale Power and Oklo are developers of small modular and advanced reactors, pre-revenue businesses whose value rests on licensing progress and future customer commitments. Centrus Energy is a fuel supplier, operating the American Centrifuge Plant in Piketon, Ohio, which its release describes as the only licensed high-assay low-enriched uranium production facility in the western world; the company says it has supplied more than 1,850 reactor years of fuel since 1998 and launched a multi-billion-dollar enrichment expansion last year.

    All three have been repriced repeatedly over the past two years by the same underlying story: data center electricity demand growing faster than grids can be upgraded, and hyperscale operators signing power agreements with nuclear suppliers to secure firm, carbon-free capacity. Because reactor and enrichment capacity takes years and large capital outlays to build, and because these companies fund much of that through equity issuance, policy headlines that move sentiment also move the practical cost of building.

    Sources

    Source: Nuclear Stocks Rally as House Bill Forces Data Centers to Cover Their Own Power Costs and NuScale Power Drops 7% as Nuclear Stocks Hand Back the Vote Rally; Oklo Falls 5%, Centrus Energy Slides 3% — coverage of the rally and reversal in small-reactor and nuclear fuel equities around a House bill on data center power cost responsibility.

    Primary sources: Oklo Inc., Form 8-K filed September 11, 2026 (equity distribution agreement, up to $1 billion at-the-market program); Centrus Energy Corp., Form 8-K filed September 17, 2026 (HALEU supply contract with Antares Nuclear); Centrus Energy, Exhibit 99.1: “Centrus and Antares Sign Multi-Year HALEU Supply Contract,” September 17, 2026; Centrus Energy Corp., Form 8-K filed September 11, 2026 (underwriting agreement, shares and warrants); Centrus Energy, Exhibit 99.1: “Centrus Announces Proposed Public Underwritten Offering of Class A Common Stock and Warrants”; Centrus Energy, Exhibit 99.2: “Centrus Announces Pricing of $500 Million Underwritten Public Offering of Class A Common Stock and Warrants”.

  • A 13% Policy Rally Stretches Oklo’s $1B Share Program for AI Power

    A 13% Policy Rally Stretches Oklo’s $1B Share Program for AI Power

    TL;DR · 30-second read

    The Short Version

    Shares in two companies building small, factory-made nuclear reactors jumped on Thursday. Oklo rose about 13% and NuScale about 10%.

    The trigger was a vote in the US House of Representatives on how to power the huge computer warehouses behind artificial intelligence. The bill does not require anyone to use nuclear power.

    That gap matters. Oklo had just arranged to sell up to $1 billion of new stock to fund its reactors. A higher share price means it can raise that money while handing out fewer new shares.

    Shares of small modular reactor developers Oklo and NuScale Power rose sharply on Thursday after the U.S. House voted on legislation addressing electricity supply for data centers. Yahoo Finance and 24/7 Wall St. reported Oklo up 13% and NuScale up 10%. TechStock² put the gains at 11% and 9% and reported that the measure stops short of ordering the use of nuclear power. Other nuclear names, including NANO Nuclear Energy and fuel supplier Centrus Energy, also rose.

    The rally came one week after Oklo disclosed, in an 8-K filed September 11, an equity distribution agreement with ten banks. The agreement lets it sell up to $1 billion of Class A common stock “at the market,” meaning gradually and at prevailing share prices.

    Executive Summary

    The House vote gave nuclear equities a policy signal, not a purchase order. The bill as reported does not compel data centers or utilities to buy nuclear power. It does not fund a reactor. It does not change how quickly the Nuclear Regulatory Commission licenses one. Even so, investors marked up the whole small-reactor group in a single session. That shows how much of these companies’ value rests on expectations about Washington’s direction rather than on operating assets. Neither Oklo nor NuScale yet runs a commercial reactor in the United States.

    For Oklo, the timing turns a sentiment move into a financing variable. Its new at-the-market program sells shares at whatever the market is paying. A higher price lets the company raise the same dollars while issuing fewer shares, which means less dilution for existing holders. The company can also choose to raise more. For AI data-center developers hoping small reactors will eventually supply firm power, a well-funded developer matters. The capital to build is the first thing between a reactor design and a delivered megawatt.

    A Rally on a Signal, Not a Mandate

    The central fact of Thursday’s trade is the mismatch between the policy and the price move. The House measure concerns power for data centers, the warehouse-scale computing sites whose electricity demand has climbed with AI training and inference. The measure reportedly does not order that any of that power come from nuclear plants. Investors bid the sector up anyway. The best reading is that the market is pricing direction: Congress is treating data-center power as a legislative priority, and nuclear is the carbon-free, always-on source most often named alongside it.

    That is a reasonable thing to be optimistic about, but it is not a revenue event. Small modular reactors (SMRs) are nuclear units far smaller than conventional plants, designed to be built in factories and installed in modules. They still have to clear licensing, secure fuel, finance construction and sign binding power contracts before they produce anything a data center can buy. A vote that addresses none of those steps directly moved the stocks by roughly a tenth. That tells readers more about how these valuations are built than about how soon reactors will run.

    Why the Jump Matters Most to Oklo’s Share Sales

    Oklo’s September 11 8-K sets out the mechanism. Under the equity distribution agreement, ten banks, including Goldman Sachs, BofA Securities, Citigroup, J.P. Morgan and Morgan Stanley, can sell Class A shares for Oklo in ordinary market trades, block trades or negotiated deals. Sales happen “at market prices prevailing at the time of sale,” up to $1 billion in gross proceeds. Oklo sets a daily maximum and a minimum acceptable price, and pays commissions of up to 1.5%. On the full $1 billion, that would be up to $15 million.

    Because the price floats, the share price directly sets the cost of this capital to existing owners. Take any fixed dollar amount raised at a price 13% higher: it requires about 11.5% fewer new shares than it would have the day before (1 divided by 1.13). A policy-driven rally therefore does something concrete for Oklo that it does not do for a company without an open program. It cuts the dilution attached to funding reactor development, or lets Oklo raise more for the same dilution. The 8-K describes the shares as issued off a shelf registration declared effective in December 2025. That means Oklo can act on the higher price without a fresh registration process.

    Two caveats keep this honest. Oklo has not said whether it has sold any shares under the program or at what prices. And a price gain built on a signal can reverse as quickly as it came. The benefit is real only for sales made while the higher price holds. Existing shareholders are the other affected party. Every share sold dilutes them, whatever the price.

    A Basket Move, Not Company News

    The breadth of the rally points to sector sentiment rather than company-specific developments. NuScale filed no material report with the SEC in the days around the vote. NANO Nuclear Energy’s most recent 8-K, filed September 17, reports only routine results from its September 15 annual meeting: six directors re-elected and Withum ratified as auditor. Nothing in that filing concerns the House bill, customers or reactors. When developers at different stages, and a fuel supplier, rise together on the same day, the market is repricing the theme, not the individual businesses.

    For data-center developers and hyperscalers, the largest cloud operators, the practical lesson is to separate equity momentum from procurement reality. The gating items for nuclear-supplied AI capacity have not moved: licensed designs, fuel supply, construction financing and signed offtake agreements. Offtake agreements are long-term contracts to buy a plant’s output. A stronger share price can help with one of these, financing, and only for companies positioned to tap it.

    Background

    Oklo went public in 2024 through a merger with AltC Acquisition Corp., a blank-check company co-founded by Sam Altman. It is developing the Aurora, a compact fast reactor. Its first combined license application was denied by the Nuclear Regulatory Commission in 2022, and it has since been working back through licensing. NuScale Power’s design was the first small modular reactor design certified by the NRC. Its flagship Carbon Free Power Project with Utah municipal utilities was cancelled in 2023 after subscriptions fell short.

    Both companies have positioned themselves as future suppliers of firm, carbon-free electricity to data centers, whose power needs have grown quickly with AI workloads. Both remain pre-revenue on commercial reactor sales. That leaves their share prices sensitive to policy news, to financing conditions and to any sign that large power buyers will commit.

    Sources

    Source: Why Did Nuclear Stocks OKLO, SMR, NNE, LEU, XE Jump On Thursday? (Yahoo Finance): coverage of the nuclear-stock rally following the House data-center power vote. Also: Oklo Stock Rises 11%, NuScale Gains 9%; House Vote Stops Short of a Nuclear Order (TechStock²), Oklo Jumps 13%, NuScale Power Climbs 10% (Yahoo Finance) and Oklo Jumps 13%, NuScale Power Climbs 10% (24/7 Wall St.).

    Primary sources: Oklo Inc. Form 8-K filed September 11, 2026: $1 billion at-the-market equity distribution agreement; NANO Nuclear Energy Inc. Form 8-K filed September 17, 2026: results of 2026 annual meeting.

  • Pennsylvania’s $188M Data Center Tax Break Shows Why AI Subsidies Follow Servers

    Pennsylvania’s $188M Data Center Tax Break Shows Why AI Subsidies Follow Servers

    TL;DR · 30-second read

    The Short Version

    Amazon is building a string of data centers across Pennsylvania — large buildings packed with computers that run websites, cloud services and artificial intelligence.

    Pennsylvania does not charge its 6 percent sales tax on the computer equipment inside them. State budget writers expect that break to cost close to $2 billion in uncollected taxes by 2031.

    Lawmakers in both parties voted this summer to end it. Neither version reached the governor’s desk. The argument is really about who helps pay for the buildings behind your chatbot.

    Capital & Main reported on September 16 that Amazon has so far claimed Pennsylvania’s data center sales-and-use tax exemption at two locations, according to the state Department of Revenue, while expanding a portfolio that now includes a permit application for 36 data centers at the 4.5-gigawatt Homer City campus in southwestern Pennsylvania, a 1,300-acre site in Hazle Township, a pending site in Kline Township, and a prospective end-user role at a rezoning-denied site in Montour County. Amazon pledged $20 billion of data center investment in the state in 2025, beginning with projects in Salem Township and Falls Township.

    The exemption relieves buyers of the state’s 6% sales and use tax on equipment bought, stored or used at qualifying data centers. Pennsylvania projects it will forgo $188.4 million in fiscal 2026-27 and close to $2 billion by 2031. In late June, the Democratic-controlled House and Republican-controlled Senate each passed a repeal; neither reached Governor Josh Shapiro before he signed the budget on July 12. Shapiro’s August 18 executive order left the exemption intact but conditioned it on a consent order binding operators to new siting, disclosure and energy standards.

    Executive Summary

    The substance here is not that a state subsidizes data centers — most do. It is the shape of this particular subsidy. Pennsylvania’s exemption attaches to equipment, and equipment is the part of a modern AI facility whose cost is rising fastest. The nonprofit research group Epoch AI estimates servers account for almost 60% of the cost of owning a one-gigawatt data center, with the remainder split across the building, network gear, energy, land, labor and water. A tax break written against that base grows with every generation of accelerators, whether or not the campus gets bigger or hires anyone else.

    That is why a program appropriated at $5 million in 2016 is now projected to reach $517.2 million in fiscal 2030-31 under Shapiro’s own 2026 budget proposal — more than a hundredfold increase. It also explains why the repeal fight crossed party lines in June and why it is unresolved: the exemption has become the single largest state-level lever on data center economics in Pennsylvania, and the governor chose to attach conditions to it rather than remove it.

    For anyone underwriting capacity in the PJM footprint, the operational takeaway is that Pennsylvania’s cost question has migrated. The debate that dominated 2024 and 2025 was about electricity price and interconnection. The debate now decided in Harrisburg is about the state revenue base — and it introduces a policy variable into equipment capex that most site-selection models still treat as fixed.

    A Subsidy Indexed to Silicon, Not to Square Footage

    Most location incentives are written against things that change slowly: assessed property value, payroll, acreage. Pennsylvania’s data center break is written against the 6% sales and use tax on equipment — servers, storage, and the gear that supports them. That distinction is the whole story. Epoch AI’s estimate that servers make up almost 60% of the cost of owning a one-gigawatt facility means the exempt share of a project’s spend is the share dominated by AI accelerators, whose unit prices have climbed faster than any other line in the stack.

    The arithmetic follows mechanically. Two campuses of identical size, power draw and headcount will generate very different amounts of forgone state revenue if one is filled with general-purpose cloud servers and the other with AI training racks. The state’s own projections trace that curve: $188.4 million forgone in fiscal 2026-27, growing to a projected $517.2 million in fiscal 2030-31, against a $5 million appropriation when the program passed in 2016 — before generative AI or hyperscale campuses were part of the conversation. Nothing in the statute had to change for the cost to multiply. The compute did.

    Who is affected: the state treasury, which is absorbing the growth while legislators field demands to fund public transit and close a structural deficit; developers whose pro formas capitalize a 6% equipment discount that two chambers have already voted to remove; and county tax bases that receive the land and the substation but not the largest slice of the spend. It also means the conventional local-benefit argument — that a campus pays for itself through construction and property tax — is being made about the smallest part of the capital stack.

    A Program the State Cannot Meter

    There is a real weakness on both sides of this argument, and it is the same weakness. When the incentive was converted from a refund to an exemption in 2021, Pennsylvania lost the ability to track exactly how much revenue it gives up when an operator claims it. The Department of Revenue confirmed Amazon has received the incentive at two locations; it did not put a dollar figure on them.

    That should temper the numbers everyone is citing. The $188.4 million and the roughly $2 billion cumulative figure are budget projections, not measured losses — useful, but not audited outcomes. By the same token, claims that the exemption is a modest and self-financing inducement cannot be verified either, because the state has no per-claim ledger to check them against. Amazon’s $20 billion commitment is not a tax base: only the portion spent on qualifying equipment is exempt, and the company has not broken that out. Good policy on either side would start with disclosure, and the current design forecloses it.

    Conditioning the Subsidy Instead of Ending It

    Shapiro’s August 18 executive order did something more interesting than the repeal bills would have. It kept the exemption but turned it into an enforcement hook: operators claiming it must sign a consent order committing to the standards in the order, which bars state officials from signing nondisclosure agreements with operators, requires demonstrated local community support, and pushes developers toward supplying their own energy so the grid is not strained. “I want to be clear: These are not voluntary standards — these are legally binding requirements in order to operate here in the Commonwealth,” Shapiro said at the signing.

    Critics argue the conditions are beside the point. “Shapiro is Pennsylvania’s governor, not Amazon’s, not Meta’s, not Microsoft’s,” said Megan McDonough of Food & Water Watch when the underlying principles were introduced in May, arguing the state should withhold support rather than regulate access to it. The counterargument is that a consent order reaches conduct a repeal never would — siting, disclosure and self-supplied power are not things the tax code addresses. The tension is genuine: repeal is cleaner and cheaper; conditioning is narrower but touches the grid and permitting questions that actually determine whether these projects get built.

    The process history is the part that will keep drawing scrutiny. Heatmap reported in April, based on correspondence obtained by a Pennsylvania resident, that Amazon was shown a “feedback draft” of the plan on March 18, months before public release; that the administration had offered “exclusive early access” to fast-tracked permitting subject to a nondisclosure agreement; and that the Department of Community and Economic Development secretary had described the plan to an Amazon representative as “intended to be voluntary.” The executive order now prohibits the NDA practice. Whether pre-consultation with a major investor is ordinary policy development or preferential access is a fair question, and it is fair in both directions — states routinely test regulatory drafts with the regulated, and doing so under an NDA is what changed.

    Permitting Risk May Bite Before Tax Risk Does

    Look at the pipeline and a different constraint appears. State officials have identified more than 100 projects at varying degrees of certainty. Yet the Hazle Township site was denied locally last year and is under appeal; the Montour County rezoning was denied in February; Kline Township is still pending. A developer told the governor’s chief transformation and opportunity officer by email that Amazon had been “appealed in EVERY project at EVERY turn,” per Heatmap’s reporting. For a hyperscaler, a 6% equipment discount is worth real money, but it does not compound the way a two-year zoning delay does on a site whose power interconnection and construction slots are already booked.

    Capital availability is clearly not the binding constraint. In an 8-K filed September 14, Amazon disclosed it had closed a sterling bond sale of £4.242 billion in aggregate public offering price across four tranches maturing 2029 through 2045, netting roughly £4.235 billion. The filing does not state a use of proceeds, and nothing in it ties the raise to Pennsylvania. What it does show is a company funding a global buildout in size at fixed coupons ranging from 5.200% to 6.650% — a cost of capital against which state-level equipment tax treatment is a meaningful but second-order input.

    The practical consequence for anyone building, powering or financing this infrastructure: Pennsylvania’s attractiveness is now a function of two variables moving in opposite directions. The exemption is under bipartisan legislative pressure, with both chambers back in session and 11 scheduled session days left this year. Meanwhile the executive order raises the local-consent and self-supplied-power bar, which favors sites with generation already next door — the pattern visible at Salem Township, where Amazon Web Services construction sits adjacent to Talen Energy’s Susquehanna nuclear station. Projects that solved power first are the ones least exposed to whichever way Harrisburg moves.

    Background

    Pennsylvania created its data center sales and use tax incentive in 2016 with a $5 million appropriation, aiming to attract facilities housing servers and storage equipment. It was restructured from a refund into an exemption in 2021. Over the following two years the state became a focal point of the AI buildout, with officials identifying more than 100 projects at varying degrees of certainty — drawn by PJM interconnection, legacy generation sites including retired coal plants and operating nuclear units, and abundant natural gas.

    Amazon announced its $20 billion Pennsylvania commitment in 2025, anchored by AI-serving campuses in Salem Township and Falls Township. Opposition has grown in parallel and across party lines, driven by electricity demand, land use and local control; hundreds of residents rallied at the state Capitol on June 23. The result is a policy fight in which repeal bills, an executive order, campaign finance scrutiny and local zoning appeals are all running at once, in an election year in which Governor Shapiro is seeking reelection.

    Sources

    Source: A Lucrative Tax Break Is Fueling Pennsylvania’s Amazon Data Center Boom — Audrey Carleton, Capital & Main, published by Truthout, September 16, 2026, on Amazon’s use of Pennsylvania’s data center sales and use tax exemption and the stalled legislative effort to repeal it.

    Primary sources: Amazon.com, Inc. Form 8-K filed September 14, 2026 (closing of £4.242 billion of notes due 2029, 2032, 2038 and 2045); Amazon.com, Inc. Form 8-K filed September 9, 2026 (election of Kevin R. Mandia to the board, audit and security committees).

  • Trump Calls Data Center Opposition a ‘Hoax’ After Call With Nvidia’s Huang

    Trump Calls Data Center Opposition a ‘Hoax’ After Call With Nvidia’s Huang

    TL;DR · 30-second read

    The Short Version

    President Trump says resistance to the giant computer warehouses that power artificial intelligence is a ‘hoax’ and part of a ‘sick conspiracy.’ He made the remarks during a phone call with the head of Nvidia, the company whose chips run most of these facilities.

    Why it matters to you: these buildings use as much electricity as a small city, and many neighbors worry about higher power bills, water use and noise. Those local fights are usually decided by town and state officials, not the president, so the remarks raise the temperature without settling the argument.

    President Donald Trump called opposition to data centers a ‘hoax’ and said there is a ‘SICK conspiracy’ against artificial intelligence and data centers, according to reports from the Associated Press and CNBC. CNBC reported that the remarks came during a phone call with Nvidia CEO Jensen Huang at the All-In Summit, a technology and investing conference. The AP reported that the president also described AI risks as a ‘hoax.’

    Executive Summary

    The president has publicly placed the White House on the side of the AI build-out in one of the most active local policy fights in the United States: whether communities should accept very large data centers, the warehouse-scale buildings full of servers that train and run AI models. Opponents in many areas have raised concerns about strain on the electricity grid, water consumption, noise, land use and whether ordinary households end up paying for grid upgrades through their utility bills.

    The remarks matter less for what they change legally than for what they signal. Most data center approvals run through county zoning boards, state utility regulators and local water authorities, and a presidential statement does not alter those processes. But framing the opposition as a conspiracy, delivered alongside the CEO of the world’s most important AI chip supplier, raises the political stakes for developers, utilities and local officials at a moment when several states are writing tougher rules for large power users.

    A National Voice in a Local Fight

    Data center siting is decided close to the ground. A developer typically needs a zoning approval from a county or municipality, an agreement with the local utility to connect to the grid, and in many cases water permits and tax-incentive deals negotiated with state or local economic development agencies. None of those decisions sits with the White House, which means the president’s remarks function primarily as political signaling rather than policy.

    That signaling still has consequences. It tells developers the administration views the build-out as a national priority, and it may encourage federal agencies to favor faster permitting where they do have authority, such as on federal land or for projects requiring federal environmental review. It also risks nationalizing what have often been nonpartisan local debates, where opponents and supporters alike include residents across the political spectrum.

    Testing the Claims on Both Sides

    The concerns raised by local opponents are, for the most part, measurable. How much power a facility will draw, what share of grid upgrade costs it will pay, how much water its cooling system consumes, and how much tax revenue it generates after incentives can all be documented and checked. Describing those concerns collectively as a ‘hoax’ does not engage with the specifics, and a community weighing a project that would add a large new electricity load has legitimate reasons to ask those questions.

    The same scrutiny applies to opposition claims. Water use, for example, varies widely depending on cooling design; some facilities use closed-loop or air-based systems that consume far less than evaporative cooling, and blanket claims about data centers draining aquifers do not hold for every project. Likewise, whether opposition in a given place is grassroots or organized is an empirical question. It can be answered with evidence such as funding disclosures, shared messaging or coordinated filings, and neither the ‘conspiracy’ label nor the ‘concerned residents’ label settles it on its own.

    What It Means for Nvidia and the Builders

    Nvidia’s growth depends on customers being able to build and power the facilities that house its chips. Local permitting delays and grid connection backlogs, the long waitlists utilities keep for large new power users, are among the practical limits on how fast AI capacity can come online. Public support from the White House is a tailwind for the sector’s political standing, but it does not add transmission lines, generating capacity or zoning approvals.

    For developers, the risk is that polarization makes local approvals harder rather than easier. Officials who might have negotiated conditions such as community benefit agreements, dedicated power supply or water limits may face more pressure to take a side. The companies most likely to fare well are those that can show, project by project, that they are paying for their own grid impact and meeting local environmental conditions.

    The Electricity Bill Question

    The most politically durable concern is cost to ordinary ratepayers. When a utility builds new substations, transmission or generation to serve a large facility, regulators must decide how those costs are divided between the new customer and existing households and businesses. Several states have moved toward requiring very large power users to commit to long-term contracts or cover more of the upfront grid investment.

    That is where the debate is likely to be decided, in utility commission proceedings rather than in speeches. The industry’s strongest argument is not that opposition is illegitimate but that well-structured tariffs can make data centers pay their own way. Whether that holds up will depend on the details states adopt.

    Background

    The rapid growth of artificial intelligence has triggered a construction boom in large data centers across the United States, driven by technology companies racing to secure computing capacity. These facilities require substantial and continuous electricity, and in many regions their projected demand has pushed utilities to plan new generation and transmission for the first time in years.

    That boom has produced local resistance in a growing number of communities, where residents and officials have questioned grid impacts, water use, noise and tax incentives. State legislatures and utility regulators have responded with new rules on how large power users connect to the grid and share costs. Nvidia, as the leading supplier of AI chips, sits at the center of the build-out, and the administration has repeatedly framed AI infrastructure as a national economic and strategic priority.

    Sources

    Source: Trump calls AI risks a ‘hoax,’ says there is a ‘SICK conspiracy’ against AI and data centers (AP News), reporting the president’s remarks on AI and data center opposition; and Trump phones Nvidia’s Huang at All-In Summit, calls data center opposition a ‘hoax’ (CNBC), reporting the call with Nvidia’s CEO.

  • Court Rejects Coal Plant Order, Narrowing DOE Emergency Power

    Court Rejects Coal Plant Order, Narrowing DOE Emergency Power

    TL;DR · 30-second read

    The Short Version

    A 64-year-old coal plant in western Michigan was supposed to shut down in May 2025. The federal government ordered it to keep burning coal anyway, saying the power was needed to stop blackouts.

    A federal appeals court has now ruled that order was unlawful, because there was no real emergency. Keeping the plant open has cost about $259 million so far, and Midwest households and businesses may end up paying much of it in their electricity bills.

    The government is still issuing similar orders at other plants, so the fight is not over.

    The U.S. Court of Appeals for the District of Columbia Circuit ruled Friday that the Energy Department exceeded its authority when it forced Michigan’s J.H. Campbell coal-fired power plant to operate past its scheduled May 2025 retirement. The Associated Press reported that a unanimous three-judge panel sided with environmental groups and the states of Michigan, Illinois and Minnesota, finding there was no genuine emergency under the Federal Power Act. Writing for the panel, Judge Cornelia Pillard described the statute’s emergency provision as “essentially a narrow, last-resort backstop” and called the reversal of the plant’s “long and carefully planned retirement” disruptive.

    The 64-year-old plant in West Olive, operated by Consumers Energy, has stayed online under successive orders signed by Energy Secretary Chris Wright, who argued the unit was needed for regional reliability. Keeping it running has cost roughly $259 million so far, according to new financial filings. Consumers Energy said it is reviewing the ruling and will keep the plant operating under a more recent Energy Department directive that extends through mid-November.

    Executive Summary

    The decision is the first appellate ruling to test how far the Energy Department can stretch emergency authority to keep generation online, and it lands squarely against the department. The court did not weigh in on whether the Campbell plant’s output was useful last winter. It held that usefulness is not the legal test: the emergency provision applies only when immediate, last-resort action is required and when the Energy Department in particular must act, rather than the states responsible for making sure enough generation exists to meet demand.

    That distinction matters well beyond one coal unit. Since President Trump’s January 2025 executive order declaring a national energy emergency, which cited demand growth from artificial intelligence and data centers, the administration has used the same authority to hold roughly half a dozen coal plants and one Pennsylvania oil-and-gas plant past their closure dates. The ruling gives challengers in Indiana, Colorado, Florida and Washington a precedent written by the court that most federal energy appeals run through.

    It also sharpens a question the industry has largely deferred. If aging fossil units cannot be conscripted by federal order, then the burden of serving new data center load falls back where the court says it belongs, on state regulators, regional grid operators and the developers themselves. Emergency orders were never a capacity plan. They are now a considerably less reliable one.

    A Backstop, Not a Planning Tool

    The Federal Power Act’s emergency provision, Section 202(c), lets the Energy Department order a power plant to run during a sudden crisis. It was written for hurricanes, fuel shortages and deep freezes, not for structural shortfalls that everyone can see coming years out. The D.C. Circuit read it that way, holding that the authority is “triggered only when there is a need for immediate, essentially last-resort action and the circumstances require action by DOE in particular, as opposed to action by the state or states responsible for resource adequacy.” Resource adequacy is the industry term for having enough generation on hand to meet peak demand, and in the United States it is primarily a state and regional grid operator responsibility.

    The second half of the holding is the part utilities will read twice. Reversing a long-planned retirement, the court said, is itself disruptive. That reflects operational reality. A plant scheduled to close sheds staff, winds down coal supply contracts, defers environmental capital spending and is replaced in the resource plan by something else. Restarting that machinery is not free, and the court treated the disruption as a cost of the order rather than a neutral act of caution.

    It is worth being precise about what the court did not decide. The panel reviewed statutory authority, not engineering. The Energy Department’s specific claims, that Campbell delivered more than 650 megawatts daily from January 21 to February 1 and that coal output in affected regions rose 25 percent at the peak of the winter storms, were not rejected as facts. Its broader claim that the orders “likely saved hundreds of lives” is a causal inference the department has not published supporting analysis for. And if the output genuinely was needed during those storms, that points to a resource adequacy gap which the ruling says states and grid operators, not emergency orders, are supposed to close.

    The $259 Million Question

    The hard number in this story is the cost: roughly $259 million to keep one 64-year-old unit running past its retirement date. Costs from reliability orders of this kind are typically recovered through regional rates, which is why the challengers, and Michigan’s attorney general, framed the case around Midwest ratepayers footing the bill for a plant their own utility had planned to close. Sierra Club attorney Sanjay Narayan called the ruling a victory for families “paying to keep this old, expensive and dirty power plant online.”

    Advocacy framing aside, the underlying economics are not really contested. A unit gets a retirement date because its running costs, maintenance burden and emissions compliance no longer pencil out against alternatives. An emergency order does not change that arithmetic; it transfers the loss to someone else. Neither Consumers Energy nor the Energy Department has published the plant’s operating economics under the orders, so the $259 million figure is the only quantified measure of what the intervention has cost, and the ruling leaves open who ultimately absorbs it.

    For large electricity buyers, this is the cost-allocation fight in miniature. Reliability insurance for a region has to be paid for by somebody. When it is bought through an emergency order rather than a capacity market or a bilateral contract, the payer is chosen administratively and litigated afterward. That is a poor foundation for a ten-year power budget.

    What AI Load Growth Actually Needs

    The January 2025 executive order invoked artificial intelligence and data center growth as justification for a national energy emergency. Set the scale side by side. Campbell’s contribution during the storm period was a bit over 650 megawatts, which the Energy Department described as enough for hundreds of thousands of homes. It is also roughly the appetite of a single large AI training campus of the kind being announced across the Midwest and Mid-Atlantic. Holding a handful of aging units online buys time measured in months and capacity measured against one or two hyperscale projects.

    The practical takeaway for developers is that announced retirement dates just became more credible as planning inputs. Siting a campus on the assumption that a nearby fossil unit will be kept alive by federal order is now a materially riskier bet. The binding constraints remain what they were: interconnection queues, the multi-year backlog of requests to connect new plants and large loads to the grid, plus transformer and turbine lead times. None of those are addressed by an emergency order.

    The court’s federalism framing pushes the pressure toward state commissions and regional grid operators, and through them toward large customers. Expect more of what is already emerging: on-site or behind-the-meter generation, long-term contracts that fund firm capacity directly, and demand flexibility arrangements in which a data center agrees to curtail during system peaks in exchange for faster service. Those are slower and more expensive than a federal directive, but they do not expire when a panel of judges rules.

    The Orders Keep Coming

    The administration’s response was immediate. Hours after the ruling, Secretary Wright issued a new emergency order keeping the TransAlta-operated Centralia plant in Washington online; it had been scheduled to close at the end of 2025. Similar orders cover plants in Indiana, Colorado and Florida, and a Pennsylvania oil-and-gas plant has been directed to keep its turbines running as a hedge against Mid-Atlantic shortages. Consumers Energy, for its part, will keep Campbell running through mid-November under a separate directive while it reviews the decision.

    Each order stands on its own record, so the ruling does not automatically void the others. It does hand challengers a template, and because the D.C. Circuit hears most federal energy appeals, its reasoning carries unusual weight. The Energy Department has not said whether it will seek rehearing or Supreme Court review, which is the near-term question for anyone modeling how long this authority remains usable.

    For plant owners, an emergency order is revenue with a legal tail. Payments made under an order later found unlawful invite disputes over recovery and potential disallowance, and the uncertainty itself imposes planning costs on utilities trying to decide whether to retire, retrofit or resell a marginal unit. The cleanest reading of Friday’s decision is not that coal must close on schedule. It is that the federal government cannot unilaterally decide it should not.

    Background

    The J.H. Campbell plant has operated on Michigan’s west side for 64 years and is run by Consumers Energy, the regulated utility subsidiary of CMS Energy. Like much of the aging coal fleet in the Midwest grid region, it was slated for closure as operating costs, maintenance demands and cleaner alternatives shifted the economics. Its retirement date of May 2025 had been in utility resource plans for years before the Energy Department intervened.

    Section 202(c) of the Federal Power Act, the provision at issue, has historically been used sparingly and briefly, typically during hurricanes, fuel disruptions or extreme cold snaps. That changed after President Trump’s January 2025 executive order declaring a national energy emergency, which cited electricity demand growth from artificial intelligence and data centers. Since then the department has used the authority to hold roughly half a dozen coal plants past their closure dates, plus an oil-and-gas plant in Pennsylvania, producing litigation in several states of which the Michigan case is the first to reach an appellate decision.

    Sources

    Source: Federal court rejects Trump order keeping Michigan coal plant open — Associated Press report on the D.C. Circuit ruling that the Energy Department exceeded its authority in ordering the J.H. Campbell coal plant to operate past its scheduled retirement.

  • Data Centers Become a Toxic Wedge Issue in Governors’ Races

    Data Centers Become a Toxic Wedge Issue in Governors’ Races

    The Associated Press reports that governors’ races across the United States are being increasingly buffeted by what it calls the toxic politics of data centers. The facilities that power the AI and cloud economy — and the electricity, water, and land they consume — have moved from zoning-board obscurity to the center stage of statewide campaigns.

    Executive Summary

    According to AP’s reporting, data centers have crossed a political threshold: they are no longer a local land-use question decided quietly by county boards, but a statewide campaign issue that candidates for governor are being forced to answer for. The word choice matters — ‘toxic’ signals that the issue now carries more downside than upside for politicians, regardless of party.

    For the infrastructure industry, this is a material shift in the operating environment. Governors appoint utility commissioners, sign or veto tax-incentive legislation, and set the tone for state permitting agencies. When the people seeking that office campaign against — or hedge on — data center growth, the political risk premium on every new site goes up. Siting risk, long treated as a paperwork problem, is becoming an electoral one.

    From Zoning Boards to the Ballot Box

    For most of the industry’s history, data center approvals were decided in county planning meetings that almost nobody attended. The AI build-out changed the scale of the ask: modern campuses draw utility-grade electricity, meaningful volumes of water for cooling, and large tracts of land, often near residential areas. That scale made the facilities visible, and visibility made them political. AP’s framing — governors’ races ‘buffeted’ by the issue — captures the escalation: the debate has jumped two levels of government, from town hall to statehouse.

    The mechanism is straightforward. Residents connect rising electricity bills, strained grids, and changed landscapes to the server farms appearing nearby, and they take that frustration to the most visible official on the ballot. Candidates then face a bad trade: embrace data centers and own the utility-bill anger, or oppose them and own the lost jobs and tax revenue. That no-win structure is what makes an issue ‘toxic’ in campaign terms.

    Why Governors Matter More Than Mayors

    A hostile county board can kill one project; a hostile governor can reshape an entire state’s pipeline. Governors influence public utility commissions that decide who pays for grid upgrades, sign the tax-abatement packages that make site economics work, and direct the environmental agencies that issue water and air permits. If campaigning against data centers proves to be a winning message, the policy consequences will outlast any single election cycle.

    The economics compound the risk. Data centers are decade-scale capital commitments made against assumptions about power pricing, tax treatment, and permitting timelines. An election that flips a state from courting the industry to constraining it can strand those assumptions mid-project. Operators and their investors now have to underwrite political volatility the way they underwrite grid interconnection queues.

    Winners, Losers, and the Flight to Friendly Ground

    The likely near-term effect is sorting. Capital will tilt toward jurisdictions where the political climate is settled — states, and increasingly specific utility territories, where community benefit agreements, transparent power-cost allocation, and water-efficient designs have kept the backlash manageable. States where data centers become a campaign punching bag risk watching projects, and the associated construction jobs and tax base, route around them.

    The industry’s own conduct will help decide which column each state lands in. Secretive land assemblies, non-disclosure agreements around utility deals, and cost-shifting onto residential ratepayers are the fuel of the backlash. Operators that show up early, disclose resource demands, pay their full share of grid costs, and design for minimal water draw are effectively buying political insurance. In an environment where a governor’s race can reprice a state’s entire pipeline, that insurance is no longer optional.

    Background

    Data centers are the physical backbone of the internet, cloud computing, and artificial intelligence — warehouse-scale buildings full of servers that require enormous amounts of electricity and, in many designs, water for cooling. For two decades states actively courted them with tax incentives, prizing their construction jobs and property-tax revenue while their modest visibility kept public attention low.

    The generative-AI boom broke that equilibrium. Facilities grew from tens of megawatts to campus-scale power draws rivaling heavy industry, land acquisitions became front-page news in host communities, and questions about who pays for grid expansion landed on residential utility bills. The AP’s report marks the point at which that accumulated friction became statewide electoral politics.

    Source: Governors’ races are being increasingly buffeted by the toxic politics of data centers — Associated Press reporting, via Google News, on how data center siting has become a contentious statewide campaign issue.

  • Trump-Abbott Split Over a 474 GW Queue Shows AI Power Now Hinges on Disclosure

    Trump-Abbott Split Over a 474 GW Queue Shows AI Power Now Hinges on Disclosure

    TL;DR · 30-second read

    The Short Version

    Texas’s governor has stopped approving new data centers, the huge warehouses of computers behind artificial intelligence, from plugging into the state’s electric grid. The pause lasts until they report how much power and water they will use. His office says fewer than one in ten have followed the law that requires this.

    President Trump called the pause a mistake. The stakes are large: companies have asked Texas for more than five times the most electricity the whole state has ever used at one moment.

    Newsweek reported on August 8, 2026 that President Donald Trump called Texas Governor Greg Abbott’s pause on data center grid approvals “a mistake.” He said so in an interview with Punchbowl News released on August 7. Abbott announced on Monday, August 3 that Texas would halt approvals for proposed data centers seeking connections to the state grid. The halt holds while regulators audit each project’s expected electricity and water use, cooling systems, tax incentives, ownership and plans to limit local impacts. Projects that fail the state’s requirements are to be denied connections.

    Abbott’s office tied the pause to demand figures from ERCOT, the Electric Reliability Council of Texas, which runs most of the state’s grid. About 90 percent of the 474 gigawatts of large-load interconnection requests under review come from data centers. That is more than five times ERCOT’s record peak demand of roughly 85.5 gigawatts. The governor’s press secretary also said fewer than 10 percent of data centers comply with a state law requiring them to report their power and water usage.

    Executive Summary

    The dispute looks like a clash over whether Texas wants data centers. The mechanism Abbott chose is narrower than that. The pause is not a ban. It applies mainly to proposed facilities seeking a grid connection, and it asks them to give the Public Utility Commission of Texas (PUCT) and ERCOT data that state law already requires. Projects that bring their own generation may be able to avoid the standard connection process altogether.

    This matters for AI infrastructure because Texas is one of the most important markets for large AI campuses. The state’s planning problem is severe: requests on file far exceed anything the grid has ever delivered. Until developers disclose their power and water numbers, the state cannot separate projects that will be built from requests that will never draw a watt. For now, the fastest path to power in Texas runs through a filing cabinet as much as a substation.

    Trump’s comments put the federal administration’s rhetoric at odds with a Republican governor who has courted the same industry. The disagreement is so far verbal, and Trump himself said he was “not taking positions.”

    The Gate Is a Filing, Not a Ban

    The operative detail in Abbott’s order is the disclosure requirement. According to his press secretary, Andrew Mahaleris, Texas law already obliges data centers to report their power and water usage, and fewer than 10 percent do. The pause, in his words, “requires data centers to provide PUCT and ERCOT with the required information for them to make fully informed decisions.” Projects that fail the state’s requirements should be denied connections. In practice, a developer’s place on the path to electricity now depends on whether its paperwork is complete, and not only on engineering studies and transmission capacity.

    That changes who moves first. Developers that already track and report their expected load, water draw and cooling design can respond quickly once the audit begins. Those that filed interconnection requests without firm designs, or treated the reporting law as optional, face the longest delay. The audit also covers tax incentives, ownership and community mitigation, so the information burden goes beyond megawatts. The heaviest effect is likely in Oncor’s territory around Dallas-Fort Worth. ERCOT forecasts place the largest concentration of projected large-load growth there, across Dallas, Collin, Denton, Tarrant and Ellis counties.

    A Queue Five Times the Size of the Grid

    The scale explains why regulators want the data. ERCOT told lawmakers in July that 474 gigawatts of large-load requests are under review, about 90 percent from data centers. The grid’s all-time peak is about 85.5 gigawatts. A gigawatt is roughly the output of a large power plant, so the request queue equals several Texas grids stacked together. Utility-submitted forecasts show large-load requests rising from about five gigawatts in 2026 to more than 109 gigawatts by 2032. Even that is a fraction of the queue.

    An interconnection request is an application for grid capacity, not a commitment to build. Developers often file for more sites than they will pursue, because securing a place in line is cheap compared with losing one. Grid planners size transmission lines and generation to the load they expect. Overbuilding for requests that vanish raises costs that ratepayers may carry. Underbuilding for load that arrives risks reliability. Verified disclosure is the tool that narrows that uncertainty, which is why the state has made it the condition for approval.

    Two Claims, Both Worth Testing

    Trump argued that communities gain from data centers: more investment, lower taxes and higher home values. He also said the industry “could be bigger than oil” for Texas. The investment case is real. Abbott himself called Texas “the epicenter of AI development” when Google announced a $40 billion cloud and AI infrastructure investment in the state in November. The home-value claim is less settled. Newsweek noted that studies point both ways, with regional economic lift on one side and localized noise, traffic and water concerns on the other. Public sentiment has also moved. An Emerson College poll in July found 63 percent of U.S. voters oppose AI data centers in or near their community, up 21 points since December 2025.

    The governor’s reliability claim deserves the same scrutiny. Mahaleris cited a “more than 500 percent increase in peak electricity demand.” The figure appears to describe the request queue measured against the record peak, not electricity Texans are actually using today. That is consistent with 474 gigawatts against 85.5. The distinction matters: a queue of that size is a planning problem, not an imminent shortage. The duration of the pause has not been specified, which leaves the cost of the delay open-ended for projects already in line.

    Onsite Power Becomes the Side Door

    Because the pause targets grid connections, projects with their own generation may be able to proceed outside the standard process. That favors well-capitalized developers who can finance onsite gas turbines, contract with nearby generators, or build power alongside the campus. Smaller developers that depend on the grid have fewer options. If the pause runs long, the Texas pipeline could shift toward self-powered campuses. Those projects bring their own questions about fuel supply, emissions permitting and backup reliability.

    The federal-state dimension has limits. ERCOT’s grid operates largely within Texas and is overseen by the state’s utility commission, so Washington’s direct levers over Texas grid connections are narrow. Trump’s comments may shape the political climate. The decisions on which data centers connect, and when, remain with Austin.

    Background

    Texas has become one of the central markets for AI infrastructure, drawing hyperscale campuses with its available land, transmission and fiber networks and a grid that has historically connected large loads quickly. Abbott has promoted that role, calling the state “the epicenter of AI development” when Google announced a $40 billion cloud and AI investment there in November. Local resistance has grown alongside the buildout. The proposed $1.1 billion Fort Worth Data Center Project in the Veale Ranch area drew resident concerns over power, water and infrastructure, and city officials delayed a tax incentive package after public opposition.

    The Texas situation is part of a national surge. Pew Research Center counts over 1,500 new data centers in development across the U.S., and the Berkeley Research Group estimates about 3,000 projects at various stages. Unlike most of the country, the ERCOT grid operates largely within the state, so Texas regulators hold most of the authority over who connects and on what terms.

    Sources

    Source: Trump Rebukes Greg Abbott’s Texas Data Center Crackdown: ‘Mistake’ (Newsweek): President Trump criticizes Texas’s pause on grid-connection approvals for new data centers pending a state audit.

  • Israel Eased Data Center Planning. Its 27GW Grid Queue Shows Where the Bottleneck Moved

    Israel Eased Data Center Planning. Its 27GW Grid Queue Shows Where the Bottleneck Moved

    TL;DR · 30-second read

    The Short Version

    Israel has stopped accepting new requests from large data centers to connect to the power grid for about four and a half months. Data centers are the warehouse-sized buildings full of computers that run cloud services and artificial intelligence.

    The reason: builders have asked for nearly three times as much electricity as the whole country normally uses. Officials want time to separate real projects from ones that may never be built.

    At least one developer has already dropped its plans. How Israel sorts this out will decide who gets power, and when.

    Israel’s Electricity Authority has frozen the processing of new applications to connect data centers of 8 megawatts (MW) or more to the power grid for 140 days, DatacenterDynamics reported on July 28, 2026. The authority described the pause as an “emergency brake” to prevent the system from making connection commitments it may not be able to fulfill. The freeze is expected to run until early December.

    The country’s transmission operator, Israel Independent System Operator (NOGA), received 19 gigawatts (GW) of new data center connection requests within two months, bringing the pending total to roughly 27GW, nearly triple Israel’s average baseline electricity consumption. During the pause, the Electricity Authority, the Ministry of Energy and NOGA will jointly develop a new policy for allocating electricity between data centers and the rest of the economy.

    Executive Summary

    Israel has imposed a national pause on new grid connection processing for data centers of 8MW and above, one of the clearest cases yet of a grid operator stopping the queue rather than working through it. The trigger is scale: roughly 27GW of pending requests against a grid whose average baseline consumption is about a third of that.

    The surge followed the National Cyber Defense Bill, passed by the Knesset in February, which designated data centers as national infrastructure to remove planning and construction constraints. With those hurdles lowered, the grid connection became the constraint that still binds, and it absorbed the full weight of demand, speculative filings included.

    The 140-day review is meant to map the requests, set eligibility criteria and build a mechanism to tell legitimate projects from speculative ones. The outcome will shape which developers can build in Israel, how quickly, and on what terms. VisionWave has already abandoned a hyperscale project, citing the pause.

    Easing Planning Moved the Bottleneck to the Grid

    In February, Israel’s parliament passed the National Cyber Defense Bill. The law classified data centers as national infrastructure specifically to remove planning and construction constraints, with the aim of speeding up an industry the government considers strategic. What followed was a flood of grid applications. NOGA received 19GW of new data center connection requests within two months, and the pending total now stands at roughly 27GW, nearly triple the country’s average baseline consumption. For scale, a gigawatt is roughly the output of a large power station.

    The mechanism is straightforward. A data center project passes through several filters: land, zoning, construction permits, financing, customers and power. Lower the planning filters and it becomes cheaper to put a project into the pipeline, while a place in line for scarce electricity stays just as valuable. The grid connection becomes the one gate that still binds, so it absorbs all of the demand, including requests from projects that may never be built. A planning rule can be rewritten in a single legislative session. New transmission lines and generation take years.

    That is the logic behind the authority’s “emergency brake” framing. A connection offer is a promise to deliver power years from now. Issued against a queue that far exceeds national demand, such promises would either go unkept or crowd out other users. The review’s stated purpose, allocating electricity between data centers and the economy at large, puts that trade-off in plain terms: every megawatt reserved for a server hall is a megawatt not available to homes, factories or transport.

    A 27GW Queue Is a Signal, Not a Forecast

    No grid adds three times its existing load in a few years, and nothing in the announcement suggests Israel expects to. A queue of this size says more about the incentives facing developers than about the power that will eventually be consumed. Developers often file for several sites at once to keep their options open, and an early filer can hold capacity that a better-financed project later needs. The government’s plan to map requests, set eligibility criteria and separate legitimate projects from speculative ones amounts to an acknowledgment that the queue, in its current form, cannot guide grid planning.

    The hard part is that genuine demand is buried inside the inflated number. The pause comes as AI training and inference reshape data center demand worldwide. These workloads concentrate large, steady power draws on single campuses, which is exactly the profile that stresses transmission planning. Last month Crusoe, a developer focused on AI infrastructure, said it would invest around $10bn in Israeli data centers over ten to 15 years through leases. Commitments of that kind compete for the same limited grid capacity as filings with little behind them, and that is the problem the sorting exercise is meant to solve.

    Who Wins and Who Waits

    The 8MW threshold matters. Enterprise server rooms and smaller edge facilities fall below it. Hyperscale and AI campuses sit well above it. The freeze therefore lands on the segment the February law was designed to encourage. For those developers, 140 days carries a real cost. Land options, equipment reservations and tenant negotiations all lose value over time, and a project without a connection date is hard to finance or lease.

    VisionWave has already dropped plans for a hyperscale data center in Israel and cited the pause as a key factor. Other developers may choose to wait rather than leave. Rules built to separate legitimate from speculative projects would favor applicants that can show land, financing and customers. That would benefit mature developers and well-capitalized tenants over applicants holding queue positions on the chance that one becomes valuable.

    The broader lesson is not that Israel is closing to data centers. It is that easing one constraint without adding grid capacity moves the queue somewhere else. Israel’s experience suggests that any market courting AI infrastructure needs a clear, enforceable rule for allocating power alongside its permitting reforms.

    Background

    Israel’s Electricity Authority is the power sector’s regulator and sets the rules for how customers connect to and pay for the grid. NOGA, the Israel Independent System Operator, runs the transmission network and processes connection requests for large loads. Israel’s grid is largely isolated from its neighbors’, so electricity demand has to be met mainly by generation inside the country. That makes a sudden surge in requested load especially hard to accommodate.

    Israel has been positioning itself as a regional data center hub. In February the Knesset passed the National Cyber Defense Bill, which designated data centers as national infrastructure to ease planning and construction. Developers followed: Crusoe announced in June a roughly $10bn lease-based investment plan over ten to 15 years. The grid freeze is the first major check on that expansion.

    Sources

    Source: Israeli Electrical Authority freezes grid processing of new data centers for 140 days (DatacenterDynamics): Israel pauses grid connection processing for data centers of 8MW or more after 27GW of requests.

  • White House Seeks AI Power Cost Pledge From Utilities and Data Centers

    White House Seeks AI Power Cost Pledge From Utilities and Data Centers

    Reuters reported on July 12, 2026, citing sources, that the White House intends to rally electric utilities and data center operators behind a pledge addressing the power costs associated with artificial intelligence. The report frames the effort as a response to growing concern that the AI build-out is putting upward pressure on electricity bills.

    No official announcement accompanied the report, and the text, participants, and timing of any pledge had not been made public at the time of writing.

    Executive Summary

    According to the Reuters report, the administration is convening two industries whose interests increasingly collide on the electric grid: the utilities that must build generation and transmission to serve surging demand, and the hyperscale data center operators whose AI workloads are driving much of that demand. A “power cost pledge” — the report’s shorthand — suggests a voluntary commitment aimed at reassuring the public that households will not shoulder the cost of AI’s electricity appetite.

    The move matters because it signals that data center power demand has fully crossed from an industry planning question into a national political one. When the White House feels compelled to broker a public commitment on electricity costs, it reflects pressure from ratepayers, state regulators, and elected officials who are hearing about rising bills from constituents.

    It also matters for what it is not: a report based on unnamed sources, describing a voluntary pledge whose contents are unknown. Whether this becomes a substantive cost-allocation framework or a reputational exercise depends entirely on details that had not yet been disclosed.

    Why Electricity Bills Became an AI Problem

    The AI boom has made data centers one of the fastest-growing sources of new electricity demand in the United States, reversing roughly two decades in which overall power consumption was largely flat. Serving that growth requires new power plants, new transmission lines, and grid upgrades — and under traditional utility regulation, those costs are spread across all customers through rates approved by state commissions. That is the mechanism at the heart of the ratepayer backlash: households can end up helping pay for infrastructure built primarily to serve a handful of very large industrial customers.

    Utilities and data center operators counter that large customers typically sign long-term contracts, often pay for dedicated interconnection upgrades, and can anchor investments that benefit the whole grid. Both framings contain truth, and which one dominates in a given state depends on tariff design — the specific rate structures regulators approve. A federal pledge would be entering a debate that is normally fought state by state, utility by utility.

    What a Voluntary Pledge Can — and Cannot — Do

    Voluntary pledges are a familiar Washington instrument: they move quickly, require no legislation, and give all parties a public commitment to point to. If the pledge commits data center operators to pay the full incremental cost of serving their load — through special tariff classes, minimum-take contracts, or funding their own generation — it could genuinely shift cost risk away from households. Several utilities and states have already been moving in this direction through large-load tariffs, so a pledge could standardize and accelerate an existing trend.

    The limits are equally clear. A pledge cannot override state ratemaking authority; electricity rates are set by state public utility commissions, not the White House. It carries no enforcement mechanism unless one is built in. And “power cost” commitments are only as strong as their accounting: transmission, capacity, and reliability costs are notoriously difficult to attribute to a single customer class, which gives every party room to claim compliance. Analysts and consumer advocates will reasonably ask who verifies the math.

    Winners, Losers, and the Politics of Grid Cost Allocation

    For hyperscalers, a pledge is likely a price worth paying. Their binding constraint is speed of interconnection — how fast new facilities can get grid connections and power. A public commitment on costs could defuse local opposition and regulatory friction that currently slow projects. For utilities, the calculus is similar: demand growth is the best earnings story the sector has had in decades, and anything that keeps the political environment permissive protects that story.

    The open question is what ratepayer advocates get. If the pledge produces binding tariff structures and transparent cost attribution, consumers benefit. If it produces language without accounting, the underlying dispute simply resurfaces in the next rate case. Smaller data center operators and AI startups also warrant attention: cost-allocation rules designed around hyperscalers can inadvertently raise barriers for firms without the balance sheet to fund their own substations or sign decade-long power contracts.

    Background

    Since the generative AI boom began in late 2022, hyperscale cloud providers and AI companies have raced to build data center capacity across the United States, turning electricity availability into the industry’s defining constraint. After decades of roughly flat national power demand, utilities now face sustained load growth, and the question of who pays for the required generation and transmission has become a flashpoint in state rate cases and local permitting fights.

    Both federal and state policymakers have increasingly engaged with the issue — from grid interconnection reform to utility proposals for special large-load tariffs — as electricity affordability has risen on the political agenda. The reported White House pledge effort sits squarely in that context: an attempt to get ahead of ratepayer backlash without new legislation.

    Source: White House to rally utilities, data centers for AI power cost pledge, sources say — Reuters report, July 12, 2026, on a planned White House effort to secure a voluntary commitment on AI-related electricity costs.

  • Brookings: Data Center Backlash Signals a Coming Fight Over AI’s Power Demand

    Brookings: Data Center Backlash Signals a Coming Fight Over AI’s Power Demand

    The Brookings Institution, a Washington-based public policy think tank, published an analysis on July 7, 2026 arguing that the wave of local opposition to data center construction across the United States is more than scattered NIMBY friction — it is an early signal of a broader political and economic fight over how much electricity artificial intelligence will consume, and who will pay for it.

    Executive Summary

    According to the piece’s framing, communities near proposed data center campuses are increasingly pushing back on projects through zoning hearings, moratoriums, and local elections. Brookings connects these disputes to the underlying driver: AI workloads require enormous amounts of electricity, and the infrastructure to deliver it — generation, transmission lines, and substations — lands in specific towns and counties whose residents did not sign up for it.

    Why it matters: the data center industry has historically won siting battles on the strength of tax revenue and jobs arguments. If Brookings is right that opposition is hardening into an organized, durable political force, the industry’s expansion model — fast site acquisition, utility-negotiated power deals, and light-touch local engagement — may need to change. For an industry racing to build AI capacity, the constraint may prove to be not capital or chips, but community consent and grid access.

    The Grid Is Where AI Meets Local Politics

    Data centers are unusual among industrial facilities: they consume power on the scale of heavy manufacturing while employing relatively few permanent workers. That asymmetry is at the heart of the backlash Brookings describes. A large AI campus can draw as much electricity as a small city, which means new transmission lines, new substations, and in some regions new generation — all of which are visible, local, and subject to public process. AI is often discussed as an abstract technology; the grid is where it becomes a land-use question that a county board can vote on.

    This gives local governments real leverage. Zoning approvals, special-use permits, and utility interconnection queues are choke points where a project can be delayed for years or killed outright. The industry has long treated these as procedural hurdles; the Brookings framing suggests they are becoming political contests.

    Ratepayers, Tax Deals, and the Question of Who Pays

    The economics beneath the backlash deserve attention. When a utility builds infrastructure to serve a massive new load, the cost recovery question — does the data center operator pay its full share, or do costs get socialized across all ratepayers — is decided in regulatory proceedings most residents never see. Where residents perceive that their electric bills are rising to serve a tech company’s servers, opposition tends to sharpen. Several state utility commissions have begun creating special large-load rate classes to address exactly this concern, an implicit acknowledgment that the old cost-allocation model strains under AI-scale demand.

    Tax abatements cut the same way. Data centers are frequently recruited with incentive packages, and critics ask whether the revenue and job numbers justify them. Operators who can demonstrate full cost-of-service payment and transparent community benefit will be better positioned than those relying on confidentiality agreements and after-the-fact announcements.

    What Hardening Opposition Means for the Buildout

    If backlash becomes systematic, expect three shifts. First, siting migrates toward jurisdictions that actively want the load — regions with surplus generation, declining industrial demand, or explicit pro-data-center policy. Second, timelines lengthen and carry more political risk, which favors operators with existing land banks, secured power, and strong community track records over new entrants assembling projects from scratch. Third, self-supplied power — on-site generation, long-term clean energy contracts, and eventually small modular reactors — becomes more attractive precisely because it reduces the project’s visible draw on the shared grid.

    None of this stops the AI buildout; demand is too strong. But it changes who can build, where, and how fast — and it rewards the operators who treat community engagement and grid stewardship as core competencies rather than public relations.

    Background

    Data centers — the warehouse-scale buildings full of servers that run websites, cloud services, and AI models — have expanded rapidly since generative AI took off in late 2022, with hyperscale operators and specialized developers announcing successive waves of multi-gigawatt campuses across the United States. Electricity availability has replaced land and fiber as the industry’s primary constraint, pulling utilities, state regulators, and local governments into what was once a quiet corner of commercial real estate. Northern Virginia, the world’s largest data center market, became an early flashpoint for community opposition, and similar disputes have since surfaced in markets across the country, making siting politics a national story that policy institutions like Brookings now track.

    Source: Data center backlash signals a fight over AI power — Brookings, an analysis by the Brookings Institution on local opposition to data center development and the politics of AI’s electricity demand, published July 7, 2026.