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Category: Power Infrastructure

  • Texas Approves First-of-Its-Kind Ride-Through Standards for Data Centers

    Texas Approves First-of-Its-Kind Ride-Through Standards for Data Centers

    Texas regulators have approved grid standards intended to keep large data centers online during electrical disturbances, according to reporting by E&E News by POLITICO published July 10, 2026. The measure addresses so-called ride-through behavior — whether massive computing facilities stay connected and continue drawing power during voltage or frequency dips, or abruptly disconnect and shift the shock onto the rest of the grid.

    The standards make the Texas grid, operated by the Electric Reliability Council of Texas (ERCOT), the first to impose formal ride-through expectations on data centers as a class of customer — a notable reversal of the usual arrangement, in which reliability rules bind generators rather than the loads that consume their output.

    Executive Summary

    The announcement, as reported, is straightforward: Texas has approved standards governing how large data centers must behave when the grid experiences a disturbance, with the stated goal of keeping those facilities online rather than having them drop off en masse. “Ride-through” is grid-engineering shorthand for a connected machine’s ability to tolerate a brief sag in voltage or frequency without tripping offline — a requirement long imposed on wind and solar plants, but historically never on customers.

    Why it matters: data centers have become some of the largest single points of electrical demand ever connected to power systems, and ERCOT has been the epicenter of that growth. When a facility drawing hundreds of megawatts disconnects in a fraction of a second — typically because its protective equipment or uninterruptible power supplies switch to on-site backup at the first sign of trouble — the grid suddenly has surplus power with nowhere to go, which can push frequency out of bounds and cascade into a wider event. Regulating load behavior, not just generator behavior, is a genuinely new frontier in grid reliability.

    For the industry, the precedent matters more than the particulars. Texas is the most attractive data center market in the United States precisely because of speed and abundant land and energy; if even Texas concludes that large loads must accept reliability obligations as a condition of interconnection, other states and grid operators facing the same demand surge are likely to follow.

    The Grid’s Newest Problem Is Demand That Vanishes

    For a century, grid reliability rules have concentrated on supply: power plants must stay online through disturbances so a single fault doesn’t snowball. Large data centers invert the problem. They are engineered for near-perfect uptime of the computing inside, which means their electrical systems are hair-triggered to abandon the utility feed and jump to batteries and backup generators the instant power quality wavers. That design is rational for each individual facility and destabilizing in aggregate: if many gigawatt-scale campuses in one region flee the grid simultaneously during a routine voltage dip, the disturbance they were protecting themselves from gets dramatically worse for everyone else.

    ERCOT is uniquely exposed to this dynamic. It runs a largely isolated grid with limited connections to neighboring systems, so it cannot lean on imports to absorb a sudden swing. It also hosts one of the fastest-growing concentrations of data center and other large flexible load anywhere. A ride-through standard essentially tells these facilities: your protection settings are no longer purely your private business, because your collective reflexes have become a system-level risk.

    A Template Other States Will Study

    Texas moving first is consistent with its recent posture. State lawmakers and the Public Utility Commission have spent the past several years building a framework for very large loads — from interconnection review to provisions allowing curtailment of big customers in emergencies — as ERCOT’s demand forecasts ballooned on data center growth. Ride-through standards are a logical next brick in that wall, and the E&E News framing — standards “to keep data centers online” — suggests regulators are positioning this as pro-reliability rather than anti-industry.

    Other jurisdictions are watching the same load-loss phenomenon. Grid reliability bodies in the U.S. have publicly examined incidents in which large blocks of data center load disconnected during disturbances, and utilities in Virginia, Georgia, Arizona and elsewhere face the same concentration of hyperscale demand. Because national reliability standards for loads do not yet exist the way they do for generators, a working Texas rulebook — definitions, thresholds, compliance mechanics — becomes the natural starting draft for everyone else. First-mover regulation tends to propagate: California’s emissions rules and Virginia’s zoning fights both show how one jurisdiction’s template shapes an industry’s national playbook.

    The Economics: Compliance Cost Versus Queue Position

    For data center operators, ride-through compliance is mostly an engineering and procurement question: configuring uninterruptible power supply systems, protection relays, and switchgear to tolerate defined disturbances rather than instantly transferring to backup. On new builds, that is a design parameter. On existing facilities, retrofits could be more intrusive, and operators will care greatly about which facilities are grandfathered — a detail the reporting summary does not settle.

    The strategic calculus, though, likely favors acceptance. The binding constraint on data center growth today is not capital but grid access — interconnection queues measured in years. A clear, uniform reliability standard gives ERCOT and utilities more confidence to connect very large loads quickly, which is worth far more to developers than the cost of compliant electrical gear. Operators who fight load-behavior rules risk slower interconnection everywhere; operators who embrace them can market themselves as grid-friendly customers, a distinction that increasingly influences which projects get powered first.

    Winners, Losers, and the Fine Print

    The likely winners are grid operators, who gain a tool against a novel instability risk; incumbent data center operators with modern electrical infrastructure, for whom compliance is manageable and who benefit from anything that keeps Texas interconnections moving; and vendors of power equipment — UPS systems, protection relays, grid-interface controls — who now have a regulatory driver for upgrades. The pressured parties are operators of older facilities that may need retrofits, and any tenant whose uptime guarantees assumed the freedom to disconnect at the first flicker. There is a real tension here: staying connected through a disturbance transfers some risk from the grid to the facility, and enterprise customers pay for facilities engineered to take zero chances. How the standards balance grid needs against facility-level risk tolerance is the technical heart of the rule — and exactly the kind of detail that will determine whether other states copy it verbatim or rework it.

    Background

    Texas has become the defining battleground for data center growth in the United States. ERCOT operates a mostly self-contained grid serving the large majority of the state, and its combination of fast interconnection, abundant land, and booming generation development has drawn an extraordinary pipeline of hyperscale computing projects, alongside crypto-mining and industrial electrification. That surge pushed ERCOT’s long-term demand forecasts sharply upward and prompted Texas lawmakers and the Public Utility Commission to construct a new regulatory framework for very large loads over the past several years, including closer scrutiny of interconnection requests and emergency-management provisions for big customers.

    In parallel, grid engineers across the country have documented a novel reliability phenomenon: large blocks of data center load disconnecting from the grid nearly simultaneously during disturbances, as facility protection systems shift to on-site backup. Because reliability standards historically governed generators rather than customers, no established national rulebook addressed this load behavior — the gap the newly approved Texas standards are the first to fill.

    Source: Texas approves grid standards to keep data centers online — E&E News by POLITICO report, July 10, 2026, on newly approved Texas ride-through standards for large data center loads.

  • Brookings: AI Data Center Ratepayer Pledges Need Enforcement

    Brookings: AI Data Center Ratepayer Pledges Need Enforcement

    A Brookings Institution commentary published July 10, 2026 contends that industry and utility promises to protect residential and small-business electricity customers from the cost of serving AI data centers lack the enforcement teeth needed to be credible. The piece calls on regulators and legislators to convert voluntary pledges into binding conditions.

    Executive Summary

    The core argument is straightforward: as hyperscale AI campuses queue up for grid interconnection, utilities and developers have offered assurances that the resulting infrastructure costs — new generation, transmission upgrades, and capacity payments — will not be socialized onto ordinary ratepayers. Brookings argues those assurances are only as strong as the mechanisms that back them.

    For state public utility commissions, legislators, and the data center industry itself, the commentary reframes what has been a public-relations conversation as a regulatory design problem. Without tariff structures, cost-allocation rules, or contractual covenants that survive load forecasts going wrong, the risk of cost shift lands on households by default.

    Why Pledges Alone Rarely Hold

    Electricity is a shared system. When a single customer class — in this case, very large computing loads — drives new generation and transmission investment, the cost of that investment must be allocated somewhere. Utilities recover prudent investments through rates approved by state commissions, and if a large customer departs, downsizes, or renegotiates before the useful life of the asset ends, the remaining ratepayers typically absorb the stranded cost. A verbal or written pledge that this will not happen carries weight only if a tariff, contract, or regulation makes it operationally true.

    Brookings’ framing is that the current moment resembles earlier episodes in utility history where load forecasts drove capital plans that later customers had to pay for. The remedy, in its view, is not to block data center growth but to make the accountability match the marketing.

    What Enforcement Could Look Like

    Enforcement can take several concrete forms familiar to regulatory practitioners: dedicated large-load tariffs that require the customer to underwrite the specific generation and transmission built to serve them; minimum bill or take-or-pay provisions that survive early departure; collateral or parent-company guarantees; and cost-allocation rulings that ring-fence hyperscale-driven investment from the general residential class. Each option shifts risk away from small customers, and each has trade-offs in complexity, competitiveness, and how attractive a jurisdiction remains to future investment.

    The article’s contribution is less a specific policy blueprint than a call to close the gap between what is being promised in press releases and what is written in tariffs and interconnection agreements. That distinction matters because state commissions, not industry, control the enforceable side.

    Winners, Losers, and Second-Order Effects

    If enforceable ratepayer protections become standard, the near-term winners are residential and small-commercial customers in fast-growing data center regions, and the utilities that avoid political backlash over rising bills. The near-term losers, at least on paper, are hyperscale developers who face higher up-front commitments and potentially longer siting timelines while tariffs are litigated. In practice, well-capitalized operators generally absorb these costs; the marginal effect may be on siting geography, favoring jurisdictions with clearer rules over those with ambiguous ones.

    There is also a fairness question the piece implicitly raises but does not resolve: whether existing ratepayers should share in any upside — for example, lower per-unit system costs — if hyperscale load ultimately spreads fixed costs across more kilowatt-hours. That is a legitimate counterpoint worth weighing alongside the downside protection argument.

    Background

    Electricity in the United States is delivered largely by regulated utilities whose rates and major investments require approval from state public utility commissions. Historically, load growth was gradual, driven by population and general economic activity. The rise of hyperscale cloud and AI computing has changed that pattern, with individual campuses requesting interconnection capacities that rival small cities and materially reshaping utility capital plans.

    As bills have risen in some data center-heavy regions, policymakers, consumer advocates, and think tanks including Brookings have focused on how the costs of serving these new loads are allocated. Voluntary industry pledges to protect ordinary ratepayers have become common; the debate has now moved to whether those pledges are matched by enforceable rules.

    Source: The pledge to protect ratepayers from AI data center costs needs enforcement – Brookings. Brookings Institution commentary arguing that voluntary utility and developer pledges must be backed by binding regulation.

  • PJM’s Record 168 GW Peak: AI-Era Demand Collides With a Strained Grid

    PJM’s Record 168 GW Peak: AI-Era Demand Collides With a Strained Grid

    PJM Interconnection, the largest electric grid operator in North America, set a new all-time peak-load record of 168.158 gigawatts (GW) during a heat wave, S&P Global reported on July 9, 2026. Peak load is the highest instantaneous electricity demand a grid must serve, and PJM’s footprint spans 13 states and the District of Columbia — including Northern Virginia, the densest data center market in the world.

    Executive Summary

    The number itself is the story: 168.158 GW is an all-time record for a grid that has operated since 1927, exceeding the prior widely cited all-time mark of roughly 165.6 GW set in the summer of 2006. Grid demand in mature economies was assumed for years to be flat or declining as efficiency gains offset growth; a new absolute record — set during a heat wave, when air conditioning load stacks on top of everything else — signals that assumption no longer holds in PJM territory.

    Why it matters: PJM is where the AI infrastructure boom and the physical grid meet most directly. The region hosts the largest concentration of data centers on earth, and PJM’s own planning processes, capacity auctions, and interconnection queue have all been reshaped by projected data center growth. A record peak turns those projections into observed, metered reality — with consequences for power prices, data center siting decisions, and the pace of generation and transmission construction.

    The End of Flat Demand

    For roughly two decades, U.S. grid planners could count on a comfortable pattern: efficiency improvements (LED lighting, better HVAC, industrial offshoring) absorbed most economic growth, so peak demand crept along or even fell. That the previous PJM record dated to 2006 illustrates the point — the grid went nearly twenty years without needing to serve a bigger hour. A new record, driven by weather layered on structural load growth, marks a regime change. Data centers, electrification of heating and transport, and reshored manufacturing are all pushing the same direction, and data centers are the fastest-moving of the three because a single large AI campus can draw hundreds of megawatts continuously, day and night.

    Heat Waves Are the Stress Test

    Records like this are set when a heat wave pushes air-conditioning demand to its maximum at the same time that always-on loads — including data centers — are running flat out. Unlike residential cooling, data center load does not relent in the evening or on weekends, which raises the floor beneath every weather-driven spike. For grid operators, that changes the risk calculus: reserve margins (the buffer of spare generating capacity above expected peak) get consumed from both ends, by rising peaks and by the retirement of older coal and gas plants. PJM has publicly warned for several years that retirements were outpacing new entry; a record peak is exactly the scenario those warnings anticipated.

    The Economics: Someone Pays for the Peak

    Grids are built for their single highest hour, so peaks are expensive. In PJM, the cost shows up through capacity auctions — payments to generators for being available when demand spikes — and recent PJM capacity auctions have cleared at record-high prices, driven in large part by demand forecasts that data center growth dominates. Those costs flow to ratepayers across the footprint, which is why data center load growth has become a live political issue in states like Virginia, Ohio, and Pennsylvania. A verified record peak strengthens the case of utilities and generators seeking to build; it also sharpens questions from consumer advocates about who should bear the cost of infrastructure that primarily serves new industrial customers.

    Winners, Losers, and the Siting Chessboard

    Owners of existing dispatchable generation — gas, nuclear, and remaining coal in the PJM footprint — are clear near-term beneficiaries, since scarcity raises the value of every megawatt that can run on command. Data center developers face a more complicated picture: record peaks validate the demand they are bringing, but also lengthen interconnection timelines, raise power costs, and invite regulatory scrutiny. Expect continued interest in behind-the-meter and co-located generation, long-term nuclear power purchase agreements, and siting in less-constrained regions. For the connectivity and colocation industry broadly, grid capacity — not land, not fiber — is now the binding constraint on where digital infrastructure gets built.

    Background

    PJM Interconnection began in 1927 as a power pool among Pennsylvania and New Jersey utilities and grew into the largest regional transmission organization in North America, coordinating the grid and wholesale markets for 13 states and Washington, D.C. Its territory includes Northern Virginia’s “Data Center Alley,” the densest concentration of data centers in the world, which has made PJM the front line where AI-driven electricity demand meets grid reality.

    For most of the 2010s, PJM demand was flat as efficiency gains offset growth, and its 2006-era peak record went unchallenged. That changed as data center construction accelerated, power plant retirements thinned reserve margins, and PJM’s capacity auctions began clearing at record prices — a trajectory that made a new all-time peak a question of when, not if.

    Source: PJM Interconnection sets new all-time peakload record of 168.158 GW in heat wave — S&P Global’s July 9, 2026 report on PJM’s record-setting peak demand during a regional heat wave.

  • Smoke Over Virginia Data Center Signals PJM Grid Strain

    Smoke Over Virginia Data Center Signals PJM Grid Strain

    Business Insider reported that dark smoke was seen rising above a Virginia data center during a summer heat wave, at the same time PJM Interconnection — the grid operator serving the mid-Atlantic — was approaching the upper edge of its available supply. The incident occurred in the region that hosts the largest concentration of data center capacity in the world.

    Executive Summary

    A visible smoke event at a Virginia data center, coinciding with heat-driven stress on the PJM grid, has drawn attention to the fragility of the infrastructure that carries a large share of global internet traffic. The report does not detail the cause, the operator, or the scale of any outage, but the optics — smoke above a hyperscale campus during peak demand — are hard to ignore.

    For an industry that has spent the last two years defending its power appetite in front of regulators and communities, the timing matters. Northern Virginia’s data center cluster is already the subject of intense debate over transmission buildout, ratepayer cost allocation, and permitting. A high-visibility incident during a grid emergency is the kind of event that shifts political conversations even when the technical facts turn out to be modest.

    Why Loudoun County Is the Pressure Point

    Northern Virginia, and Loudoun County in particular, hosts more data center capacity than any other region on Earth. That density exists because of a self-reinforcing cycle: fiber routes were built to serve early internet exchanges, cheap land and tax incentives attracted more operators, and each new campus made the next one more attractive by shortening latency between tenants. The result is a corridor where a single county’s electricity draw rivals that of a mid-sized country.

    PJM Interconnection, the regional transmission organization that runs the grid across 13 states and D.C., has warned publicly for the past two years that generation retirements are outpacing new supply, and that data center growth is a major driver of load. A heat wave compresses the margin between demand and available capacity, and in that state any visible failure — smoke, sirens, a plume — reads as a system-level warning rather than a site-level problem.

    The Anatomy of a Data Center Fire Risk

    Smoke at a data center campus can originate from several places, and each carries different implications. Utility switchgear and transformers can fail under thermal stress, particularly when ambient temperatures push cooling systems past design points. Backup diesel generators, which typically start when grid voltage sags, can experience exhaust or lube-oil incidents when run for extended periods. Battery energy storage systems, increasingly used to bridge grid disturbances, carry their own thermal-runaway risks. Without more detail from the operator or the fire authority, the public cannot distinguish among these, and the release does not.

    What is unambiguous is that data centers are designed to fail gracefully — that is the entire premise of N+1 redundancy, on-site generation, and multiple utility feeds. A visible smoke event does not, by itself, mean customer workloads went down. It does mean that at least one layer of the redundancy stack was exercised, and that the incident happened at the worst possible moment for the grid around it.

    The Political Physics of a Bad Photograph

    Data center operators have historically preferred to operate quietly. That posture is harder to maintain when smoke is visible from residential streets during a heat wave that has neighbors watching their thermostats. Virginia legislators have already been debating whether data center load growth should be paid for by the industry rather than socialized across residential ratepayers, and PJM’s capacity auctions have delivered sharp price increases that landed on household bills earlier this year.

    None of that is caused by a single incident. But single incidents shape narratives. Operators, utilities, and regulators who want to sustain the current build-out will need to be more forthcoming — about what happened, what the redundancy actually did, and what the incident says (or does not say) about the wider grid — than the industry’s default communications posture typically allows.

    What the Grid Data Actually Shows

    The article’s framing — that PJM was near its limits — is worth taking seriously without overstating. Grid operators routinely run close to reserve margins during heat waves; that is what reserve margins are for. The relevant question is not whether PJM was stressed on a hot afternoon, but whether the trajectory of load growth, generator retirements, and transmission build is converging or diverging. Public filings from PJM suggest the latter, and the coincidence of a visible incident with a stressed grid gives that concern a face.

    Background

    Northern Virginia has been the center of gravity for the data center industry since the 1990s, when Equinix and others built exchange points that anchored transatlantic and domestic internet traffic. Loudoun County alone now hosts several gigawatts of operating capacity, with more under construction, and its tax revenue from the sector has reshaped county budgets.

    PJM Interconnection, founded in 1927 as a pool among Pennsylvania and New Jersey utilities, today coordinates generation and transmission across a footprint stretching from Illinois to North Carolina. In recent capacity auctions, prices have risen sharply as generator retirements have outpaced new interconnections, a dynamic industry observers attribute in part to accelerating data center load growth.

    Source: Dark smoke rose above a Virginia data center as a heat wave pushed the power grid close to its limits — Business Insider. Report on a visible smoke incident at a Virginia data center coinciding with heat-driven stress on the PJM grid.

  • Utilities Scramble for Transformers as Data Center Demand Strains the Grid Supply Chain

    Utilities Scramble for Transformers as Data Center Demand Strains the Grid Supply Chain

    Reuters reported on July 8, 2026 that US power companies are scrambling to secure electrical equipment — the transformers, switchgear, and related grid hardware that move electricity from generators to customers — as surging demand from data centers strains available supplies. The report frames a nationwide procurement crunch: utilities that once ordered this equipment on routine replacement cycles are now competing for constrained manufacturing capacity against a wave of new large-load projects.

    Executive Summary

    The headline is not about a single deal or data center campus; it is about the industrial base underneath all of them. Transformers step electrical voltage up for long-distance transmission and back down for delivery, and switchgear is the apparatus that switches, protects, and isolates circuits. Neither is optional: every new data center interconnection, substation upgrade, and grid expansion needs both. Reuters’ reporting indicates that US utilities can no longer take timely delivery of this equipment for granted.

    Why it matters: for the first time in decades, US electricity demand is growing meaningfully, and data centers — particularly AI-driven facilities — are a leading cause. When the equipment supply chain becomes the pacing item, it stops being a utility procurement problem and becomes a constraint on data center delivery schedules, grid reliability investment, and ultimately on how fast the AI buildout can proceed. Power availability has already emerged as the industry’s defining bottleneck; this report locates part of that bottleneck one layer deeper, in the factories that make grid components.

    Why Transformers Became the Grid’s Chokepoint

    Large power transformers are among the least glamorous and most consequential machines in the economy. They are heavy, highly engineered, often custom-built to a specific substation’s requirements, and produced by a relatively small number of manufacturers worldwide. Capacity to build them cannot be added quickly: it requires specialized factories, scarce materials such as grain-oriented electrical steel, and skilled workers who take years to train.

    The US grid spent roughly two decades with flat electricity demand, and the supply chain sized itself accordingly — tuned for steady replacement of aging units, not for a demand shock. When data center load growth, electrification, and grid-hardening programs all began pulling on that thin manufacturing base at once, order backlogs stretched and utilities found themselves queuing for hardware. The scramble Reuters describes is the predictable result of a just-in-time supply chain meeting a step change in demand.

    When Equipment Lead Times Set the Data Center Schedule

    For data center developers, this crunch changes what “time to power” means. A site can have land, fiber, permits, and even a utility willing to serve it, and still wait on a transformer delivery slot. Interconnection — the process of physically and contractually tying a new load into the grid — increasingly depends less on paperwork and more on whether the required substation equipment physically exists.

    That reality is reshaping behavior on both sides of the meter. Utilities are reported to be securing equipment earlier and more aggressively, which effectively shifts them from reactive procurement to strategic stockpiling. Large data center operators, for their part, have strong incentives to lock in capacity years ahead, pre-order long-lead equipment themselves, or favor sites where grid infrastructure already exists — one reason established carrier hotels and campuses with existing substation capacity have gained strategic value relative to greenfield sites.

    The Economics of Scarcity: Who Absorbs the Cost

    Scarcity moves pricing power toward manufacturers. Electrical-equipment makers with transformer and switchgear capacity are in an unusually strong position, and the open question is how much they will invest in expansion — factories are decade-scale bets, and executives remember the last long stretch of flat demand. Utilities, meanwhile, typically recover equipment costs through regulated rates, which means sustained price inflation in grid hardware eventually reaches ratepayers and invites regulatory scrutiny over how much of the buildout data center customers should fund directly.

    Among data center players, scarcity favors scale and incumbency. Hyperscale operators can pre-purchase equipment, sign long-term supply agreements, and absorb schedule risk in ways smaller developers cannot. If the crunch persists, expect it to act as a filter: well-capitalized projects with early equipment commitments proceed, while speculative projects — announced capacity without secured power and hardware — quietly slip or die. That could rationalize an overheated development pipeline, but it also raises barriers to entry across the industry.

    What Could Break the Bottleneck

    Several paths out exist, none fast. Manufacturers can and do add capacity, but new production lines take years to reach output. Standardizing transformer designs — reducing the custom engineering in each order — could raise effective throughput. Utilities can extend the life of existing units, share spares, and prioritize deployments. On the demand side, data centers that bring their own generation or agree to flexible operation reduce the immediate grid equipment burden.

    The honest assessment is that this is a multi-year imbalance. Equipment supply is a lagging system responding to a leading demand signal, and the gap between them is where project delays, price escalation, and strategic maneuvering will play out. For infrastructure operators, the practical takeaway is that secured power and in-hand electrical equipment are now assets in their own right, worth nearly as much as the buildings around them.

    Background

    For most of the 2000s and 2010s, US electricity demand barely grew, thanks to efficiency gains offsetting economic expansion. That era ended as data centers — driven most recently by AI training and inference workloads — joined manufacturing reshoring and electrification as major new sources of load. Utilities, regulators, and grid operators have spent the past several years revising demand forecasts upward and confronting the fact that generation, transmission, and the equipment supply chain were all sized for a slower world.

    Concerns about transformer supply predate the AI boom — the aging of the US transformer fleet and the concentration of manufacturing capacity have been discussed in grid-security circles for years — but data center growth has converted a slow-burning replacement problem into an acute procurement race. The July 2026 Reuters report captures that shift from the utilities’ side of the table.

    Source: US power companies scramble to secure equipment as surging data center demand strains supplies — Reuters reporting, July 8, 2026, on utilities competing for transformers and switchgear amid data-center-driven load growth.

  • Oregon Approves PGE’s 29.7% Data Center Rate Hike Under Landmark POWER Act

    Oregon Approves PGE’s 29.7% Data Center Rate Hike Under Landmark POWER Act

    Oregon regulators have approved a 29.7% electricity rate increase for data centers served by Portland General Electric (PGE), the state’s largest utility, as reported by Oregon Public Broadcasting on July 6, 2026. The decision is the first major rate action taken under Oregon’s landmark POWER Act, a 2025 law that directed regulators to place large energy users such as data centers into their own rate class so that the costs of serving them are not spread across households and small businesses.

    Executive Summary

    The approval makes Oregon one of the first states to move from debating data-center cost allocation to actually pricing it. Under the POWER Act — passed in 2025 amid rapid data-center load growth and rising residential bills — utilities must charge very large customers rates that reflect the full cost of serving them, including the new generation and transmission their demand triggers. The 29.7% figure now approved for PGE’s data-center class is the concrete output of that mandate.

    Why it matters: electricity has become the gating resource for AI and cloud expansion, and the question of who funds grid upgrades — the data centers driving demand, or all ratepayers — is now the central fight in utility regulation. Oregon has produced a working template, with a specific number attached, that commissions and legislatures in Virginia, Georgia, Ohio, Texas and elsewhere are likely to study closely.

    Who Pays for the AI Buildout Just Got a Concrete Answer

    For most of the past century, utilities spread the cost of new infrastructure across all customers on the theory that everyone benefits from a stronger grid. Data centers broke that logic: a single hyperscale campus can demand as much power as a small city, arriving faster than utilities can build generation and wires. When those costs land in general rates, households effectively subsidize some of the world’s largest companies. Oregon’s POWER Act rejected that outcome by mandating a separate rate class — a distinct pricing category with its own cost-based rates — for large energy users.

    The 29.7% increase is the first hard number to emerge from that framework. It represents a regulator’s judgment, tested through a formal rate proceeding, of what cost-causation pricing for data centers actually looks like at PGE. Whether one views the number as fair depends on the underlying cost studies, which the reporting summarized here does not detail — but the structural shift is unambiguous: growth-driven costs are being assigned to the customers driving the growth.

    A Template Other States Will Study — and Contest

    Regulators across the country are wrestling with the same problem, mostly through case-by-case special contracts with individual data-center customers. Oregon instead wrote the principle into statute and applied it class-wide, which offers predictability but less flexibility. Expect both sides of the national debate to cite this decision: consumer advocates as proof that ratepayer protection is achievable, and data-center developers as evidence of rising regulatory risk in some markets.

    The competitive question is real. Oregon, particularly the Portland-Hillsboro area that PGE serves, built a significant data-center cluster on the strength of relatively inexpensive Northwest power and long-standing tax incentives. A nearly 30% jump in the power line-item — often the largest operating cost of a modern facility — changes site-selection math. States hungry for data-center investment may market themselves against Oregon’s approach; states worried about residential bills may copy it. Either way, the era of uniform, geography-blind data-center power pricing is ending.

    The Economics Cut Both Ways

    For utilities, a dedicated large-load class is double-edged. It insulates existing customers and reduces political backlash against growth, but it also raises the price of the very load that funds new investment. If data-center operators respond by self-supplying — building on-site generation, contracting directly with power producers, or siting behind other utilities — PGE could face slower load growth than planned, and the fixed costs of any already-committed infrastructure would need a home.

    For operators, the decision reinforces a trend already visible across the industry: power strategy is now a first-order business function, not a facilities detail. Companies that locked in long-term supply arrangements, invested in efficiency, or diversified their geographic footprint are better positioned than those that assumed grid power would stay cheap and socialized. The Oregon decision does not end data-center growth in the state — but it prices that growth honestly, and honest prices change behavior.

    Background

    Oregon became a data-center destination over the past two decades thanks to relatively inexpensive Pacific Northwest power, a mild climate, strong fiber routes, and generous local tax incentives — attracting major cloud and internet companies to clusters around Hillsboro in PGE territory and along the Columbia River. As AI workloads accelerated demand in the 2020s, utilities projected unprecedented load growth while residential electric bills climbed, fueling a political backlash over who should fund grid expansion.

    The POWER Act, passed in 2025, was Oregon’s answer: separate very large energy users into their own rate class and charge them the full cost of serving them. The rate decision reported here is the first major application of that law, moving the cost-allocation debate from principle to an approved price.

    Source: Oregon approves PGE’s 29.7% rate hike for data centers under landmark law — Oregon Public Broadcasting report on the first major rate decision under Oregon’s POWER Act, published July 6, 2026.

  • Texas Bets on 765 kV Lines to Power the Next Wave of AI Data Centers

    Texas Bets on 765 kV Lines to Power the Next Wave of AI Data Centers

    Texas has committed to building out its grid with 765 kilovolt (kV) transmission lines — the highest-capacity class of overhead power line used in North America — in a strategy Data Center Knowledge summarized on July 5, 2026 as “build the wires, the AI will follow.” Rather than waiting for AI data center projects to sign up first, the state’s approach is to construct extra-high-voltage backbone capacity in anticipation of that demand arriving on the ERCOT grid.

    Executive Summary

    The decision reported here is less about a single project than about a planning philosophy. Historically, most U.S. transmission has been built reactively: a large customer or generator commits, studies are run, and wires follow years later. Texas is inverting that sequence at the 765 kV level — the class of line capable of moving several times the power of the 345 kV circuits that have long formed the backbone of ERCOT, the grid operator serving most of Texas.

    Why it matters: access to power has become the single biggest constraint on AI data center siting. A state that can credibly promise deliverable gigawatts on a known timeline gains a decisive edge in attracting capital-intensive AI campuses. But anticipatory building also shifts risk — if the forecast load arrives late, smaller than expected, or somewhere else, the cost of underused infrastructure lands on someone, and that someone is usually the ratepayer.

    Why 765 kV Is a Statement, Not Just a Specification

    Voltage class is the freeway-versus-farm-road question of the power grid. A 765 kV line can carry far more power than a 345 kV line over the same corridor, with proportionally lower electrical losses, which means fewer parallel lines, fewer towers, and less land consumed per delivered gigawatt. For a grid staring at data center campuses that each want hundreds of megawatts — sometimes a gigawatt or more — 765 kV is the only overhead technology that comfortably matches the scale of the ask.

    Choosing it is also a signal. 765 kV projects take longer to permit and build, require specialized transformers with notoriously long lead times, and cost more up front than incremental 345 kV additions. A jurisdiction that standardizes on 765 kV is telling the market it expects load growth measured in tens of gigawatts, not incremental upticks — and that it intends to be structurally ready rather than perpetually catching up.

    The Economics of Building Ahead of Demand

    The core bet is that transmission, not land or fiber, is now the scarce input for AI infrastructure. Interconnection timelines — the queue a new large customer or generator waits in before it can plug into the grid — have stretched to years across much of the country. Every month of waiting is a month of idle capital for an AI developer whose chips depreciate quickly. If Texas can compress that wait by having backbone capacity already energized, it converts grid readiness directly into economic development.

    The counterargument is forecast risk. AI load projections are among the most volatile numbers in the utility industry right now: they depend on chip supply, model efficiency gains, corporate capital cycles, and siting decisions that can pivot on a single tax incentive. Building wires for demand that hasn’t signed contracts means the state is, in effect, underwriting a demand forecast. If the forecast is right, the infrastructure looks prescient. If it’s wrong, Texas will have built expensive capacity whose carrying costs must still be recovered.

    Winners, Losers, and Who Carries the Risk

    The clearest winners are large-load customers — AI and cloud data center developers — who gain siting certainty, and the transmission utilities and equipment suppliers who get a multi-year construction pipeline. Landowners along new corridors face the familiar friction of routing and easement disputes, which 765 kV’s larger towers can intensify even as its higher capacity reduces the total number of corridors needed.

    The pivotal question is cost allocation. In ERCOT, transmission costs have traditionally been spread across consumers, which works when new load broadly benefits everyone but becomes contentious when the driver is a handful of very large private customers. Whether Texas requires AI-scale loads to shoulder a larger, more direct share of the wires built substantially for them — through contribution requirements, minimum-take commitments, or special rate classes — will determine whether this build-out is remembered as smart industrial strategy or as a subsidy from households to hyperscalers. The source piece frames the bet; it does not settle who holds the downside.

    What It Means Beyond Texas

    Other states and grid operators are watching, because Texas is running the experiment they have avoided: proactive, speculative, extra-high-voltage expansion in a market famous for moving faster and regulating lighter than its peers. If the wires fill up with AI load on schedule, expect copycat programs and renewed pressure on slower-moving regional planning processes elsewhere. If they don’t, the episode will become the cautionary tale cited in every future transmission docket.

    For the data center industry itself, the message is immediate: power-first siting is now official policy in at least one major market. Developers comparing regions will increasingly weigh not just today’s available megawatts but a grid’s demonstrated willingness to build ahead of them — and Texas has just bid aggressively on that dimension.

    Background

    Texas operates most of its grid through ERCOT, a system largely separate from the rest of the U.S., which allows the state to plan and permit infrastructure faster than regions governed by multi-state processes. That autonomy, combined with abundant land and energy resources, has already made Texas one of the country’s fastest-growing data center markets. The backbone of the ERCOT grid has long been built at 345 kV; standardizing new backbone corridors at 765 kV represents a step-change in the scale of power the state is preparing to move.

    The backdrop is the AI infrastructure boom: since the early 2020s, demand from AI training and cloud computing has transformed electricity access from a routine utility matter into the decisive factor in where billions of dollars of data center capital lands. Grid operators nationwide have struggled with long interconnection queues — the waiting line for new large loads and generators — and Texas’s 765 kV program is a direct attempt to turn that bottleneck into a competitive advantage.

    Source: Texas’ 765 kV Decision: Build the Wires, the AI Will Follow — Data Center Knowledge’s July 5, 2026 report on Texas’s anticipatory extra-high-voltage transmission strategy for AI data center growth.

  • Heat Wave and Data Center Demand Push PJM Grid to the Brink in Northern Virginia

    Heat Wave and Data Center Demand Push PJM Grid to the Brink in Northern Virginia

    The Prince William Times reported on July 4, 2026 that a summer heat wave, layered on top of the enormous electricity appetite of the region’s data centers, pushed the regional power grid “to the brink.” The grid in question is operated by PJM Interconnection, the regional transmission organization that coordinates electricity across all or parts of 13 states and the District of Columbia — including Northern Virginia, home to the largest concentration of data centers in the world.

    The report frames a collision that grid planners have warned about for years: weather-driven peak demand from air conditioning arriving at the same moment as a structural, around-the-clock load from data centers that has grown far faster than new generation and transmission have been built.

    Executive Summary

    According to the report, the stress event unfolded in Prince William County, Virginia and the surrounding region — the heart of “Data Center Alley,” where Prince William and neighboring Loudoun County host an unmatched density of hyperscale and colocation facilities. During a heat wave, residential and commercial air conditioning drives electricity demand to its annual peaks; data centers, unlike air conditioners, draw near-constant power day and night, so their load sits underneath the weather peak rather than replacing it.

    Why it matters: grid operators plan for the single worst hour of the year. When a fast-growing baseload (data centers) raises the floor and a heat wave raises the ceiling, the margin between available supply and peak demand — the buffer that prevents emergency measures like conservation appeals or rolling outages — shrinks. A “to the brink” event is a concrete, dated data point in a debate that is often conducted in abstractions about future AI load forecasts.

    A caveat on sourcing: this is a single local-newspaper account, and the headline-level material available does not specify which emergency procedures, if any, PJM invoked, what demand peaked at, or how close reserves actually came to exhaustion. Those specifics matter, and we flag them below.

    The Peak Problem: Flat-Out Air Conditioning Meets Always-On Compute

    Electric grids are sized for their worst hour, not their average one. In PJM territory that worst hour almost always occurs on a hot summer weekday afternoon, when tens of millions of air conditioners run simultaneously. Data centers change the arithmetic because they are effectively a new floor under demand: a large AI training or cloud facility draws a high, steady load 24 hours a day, in fair weather and foul. When a heat wave arrives, that steady draw does not politely step aside — it stacks. The result is that the same heat wave that a decade ago would have been routine can now push a region toward its limits, which is precisely the dynamic the Prince William Times describes.

    For lay readers, “to the brink” typically means the grid operator is working through its escalation ladder — asking generators to defer maintenance, importing power from neighbors, calling on demand-response customers who are paid to curtail, and in the worst case shedding load (rolling blackouts). The available reporting does not tell us how far down that ladder PJM went in this event, and that distinction — between a tight day and a genuine emergency — is the difference between a warning sign and a crisis.

    Northern Virginia Is the Stress Test the Rest of the Country Is Watching

    Prince William County is not a random dateline. Northern Virginia is the world’s largest data center market, and the AI buildout has accelerated demand there just as it has become harder to site new transmission lines and generation. PJM’s own capacity auctions — the mechanism by which the operator procures commitments of future power supply — have cleared at sharply higher prices in recent cycles, a market signal that supply is not keeping pace with projected demand. A heat-wave near-miss in this region is therefore a preview: other fast-growing data center corridors in Texas, Georgia, Ohio, and Arizona face versions of the same squeeze.

    The economics cut in several directions. Utilities and independent power producers benefit from higher capacity prices and large, creditworthy new customers. Data center operators face rising power costs and, increasingly, multi-year waits for grid connections — which is pushing some toward on-site generation, long-term nuclear and renewable contracts, and demand-flexibility commitments. Residential ratepayers, meanwhile, worry about absorbing the cost of grid upgrades driven by industrial customers, a tension that is now a live political issue in Virginia and across PJM’s footprint.

    Who Bears the Risk — and Who Blinks First in the Next Heat Wave

    Events like this sharpen a policy question that regulators have so far answered only partially: when supply gets tight, whose power is interruptible? Data centers have historically demanded — and paid for — extreme reliability, backed by on-site diesel or battery backup. That backup capacity is mostly idle during grid emergencies. Proposals to enroll data centers in demand-response programs, require flexible-load commitments as a condition of interconnection, or price peak consumption more aggressively all gain momentum every time a grid operator has a bad afternoon.

    There is also a reputational dimension. The data center industry argues, with some justification, that it pays substantial sums into the grid and that load growth also comes from electrification of homes, vehicles, and factories. But headlines that pair “heat wave” with “data centers” and “brink” land hard with the public regardless of the precise load attribution. Operators that can document flexibility — shifting deferrable computing work away from peak hours, dispatching backup assets to support the grid — will have an easier time in siting battles than those that cannot.

    Background

    Northern Virginia became the world’s data center capital over two decades, thanks to early internet exchange points, cheap land, favorable tax treatment, and proximity to federal and enterprise customers. Loudoun County led the first wave; Prince William County became the frontier of the next one, with the AI boom driving proposals for ever-larger campuses. PJM Interconnection, formed from a power pool dating to 1927, operates the transmission grid across the Mid-Atlantic and parts of the Midwest and has repeatedly flagged accelerating load growth — led by data centers — as a central reliability challenge of the coming decade.

    The tension surfaced well before this heat wave: PJM’s recent capacity auctions cleared at dramatically higher prices, utilities in Virginia have proposed new rate structures for large loads, and local land-use fights over data center siting in Prince William County have become some of the most contentious in the country. A dated, weather-driven stress event adds an operational exclamation point to what had largely been a forecasting debate.

    Source: Heat wave, data centers’ huge demand push regional power grid to the brink — Prince William Times, July 4, 2026, reporting on grid strain in the PJM region amid a heat wave and data center load growth.

  • DOE Orders Data Centers to Backup Power to Free Grid for AC

    DOE Orders Data Centers to Backup Power to Free Grid for AC

    The U.S. Department of Energy issued a directive on or around July 3, 2026 instructing data centers to switch to on-site backup generators during an active heat wave, so that grid electricity could be redirected to residential and commercial air conditioning demand.

    The action, first reported by CNN, applies during the peak-load emergency window and treats hyperscale and colocation facilities as flexible load that can be temporarily islanded from the public grid.

    Executive Summary

    Federal regulators rarely intervene directly in how private data centers source their power. This order does exactly that, framing backup generators — normally reserved for outages — as a demand-response tool the government can call on during a grid emergency.

    For an industry that has spent the past two years defending its rising share of national electricity consumption, the directive is a concrete signal that data-center load is now large enough to be actively managed by policymakers, not just utilities. It also raises immediate questions about emissions, fuel supply, wear on generator fleets, and who bears the incremental cost.

    The CNN report is short on operational specifics. What is clear is the precedent: in a heat-driven grid crunch, the federal government has publicly told data centers to burn their own fuel so households can keep the AC on.

    From Backup to Balancing Asset

    Data-center backup generators — typically diesel, occasionally natural gas — are designed as insurance against utility failure. Running them proactively to relieve the grid reframes them as a demand-response resource, a category more commonly filled by industrial curtailment contracts and battery storage. The DOE’s move effectively conscripts private infrastructure into a public reliability role during an emergency window, without (based on the reporting available) a pre-existing market mechanism to compensate that role.

    For operators, the economics are straightforward but uncomfortable: diesel fuel and generator hours are far more expensive per kilowatt-hour than grid power, and every runtime hour consumes maintenance life and emissions allowances. Whether those costs are reimbursed, absorbed, or passed to tenants under force-majeure or emergency-operations clauses in colocation contracts is not addressed in the source.

    Policy Signal for a Power-Constrained Industry

    The directive lands in the middle of an ongoing national debate over data-center power draw, particularly from AI training and inference workloads. Utility interconnection queues are years long in several regions, and multiple states are weighing tariffs and rate structures specific to large loads. An emergency order that pulls data centers off the grid on the hottest days does not solve those structural issues, but it does establish a template: when residential cooling and industrial compute compete for the same electrons, households come first.

    That template has implications well beyond one heat wave. Operators planning new sites will read this as evidence that federal and state authorities are willing to treat their facilities as interruptible when the public interest demands it, which strengthens the case for on-site generation, long-duration storage, and firm behind-the-meter power. It also gives ammunition to utilities and community groups arguing that new hyperscale campuses should arrive with dedicated generation, not just a grid connection.

    Environmental and Reliability Trade-offs

    Shifting large facilities to diesel or gas backup during a heat wave trades one problem for another. Peak summer conditions already coincide with elevated ground-level ozone; concentrated diesel runtime in data-center clusters — northern Virginia, Dallas, Phoenix, Santa Clara — could measurably worsen local air quality on precisely the days when it is most fragile. The source does not indicate whether the order includes air-quality carve-outs, geographic targeting, or emissions monitoring.

    Reliability is the other side of the ledger. Backup generators are tested regularly but not designed for sustained multi-hour or multi-day operation across an entire fleet. Fuel logistics, cooling of the generators themselves in extreme heat, and the risk of cascading failure if a facility loses backup mid-event are real engineering concerns. None of these are discussed in the reporting available, and they will determine whether the directive is remembered as a pragmatic success or a stress test that exposed hidden fragility.

    Background

    Data-center electricity demand has climbed sharply over the past several years as cloud computing and, more recently, AI training and inference workloads have expanded. Utilities in Virginia, Texas, Arizona, and the Pacific Northwest have publicly flagged multi-year interconnection queues for large loads, and several states have opened proceedings on tariffs and cost allocation specific to hyperscale facilities.

    At the same time, summer heat waves have repeatedly pushed regional grids to the edge of their reserve margins, prompting conservation appeals and, in some cases, rolling outages. The DOE has authority to intervene in electricity emergencies but historically uses it sparingly and mostly to keep specific generators running. A directive aimed at reducing data-center load is a notable inversion of that pattern.

    Source: Energy Dept. directs data centers to use backup generators during heat wave, freeing up power for AC – CNN — CNN reports the DOE ordered data centers onto backup power during a July 2026 heat wave to relieve grid demand for air conditioning.

  • New Jersey Sends Data Center Tariff Bill to the Governor’s Desk

    New Jersey Sends Data Center Tariff Bill to the Governor’s Desk

    New Jersey’s legislature has passed a bill establishing a data center tariff and sent it to the governor for signature, Utility Dive reported on July 2, 2026. The measure targets how the electricity costs of large data centers are recovered, with the aim of shielding other utility customers from grid expenses driven by data center growth.

    Executive Summary

    According to Utility Dive’s July 2, 2026 report, New Jersey lawmakers have approved legislation creating a tariff framework for data centers and forwarded it to the governor. A tariff, in utility parlance, is the regulator-approved schedule of rates and terms under which a customer class buys power — so a data center tariff bill is, at its core, a decision about who pays for the wires, substations, and generation capacity that very large computing facilities require.

    The move matters well beyond New Jersey. Electricity demand from data centers — especially AI-oriented facilities — has become the dominant growth story on the U.S. grid, and the costs of serving that growth have increasingly landed in debates over household utility bills. If signed, New Jersey would join a growing list of states acting to assign those costs to the data centers themselves rather than spreading them across all ratepayers. Notably, New Jersey is doing it through legislation rather than leaving the question to case-by-case utility rate proceedings.

    Why Data Center Power Costs Reached the Statehouse

    New Jersey sits inside PJM, the regional transmission organization that operates the grid across 13 states and procures capacity — commitments from power plants to be available — on behalf of utilities. Capacity prices in PJM have risen sharply in recent auctions, driven in part by projected data center demand, and those costs flow through to retail electric bills. That chain from AI build-out to household bill is what has turned a technical rate-design question into a live political issue in Trenton and other state capitals.

    Legislators stepping in is itself significant. Rate design is normally the province of utility regulators — in New Jersey, the Board of Public Utilities — moving deliberately through contested proceedings. A statute compresses that timeline and signals that lawmakers did not want to wait for the regulatory process to allocate these costs on its own.

    What a Data Center Tariff Actually Does

    The core principle behind large-load tariffs is cost causation: the customer whose demand triggers new infrastructure should bear its cost. Serving a single large data center campus can require new transmission lines, substations, and capacity procurement running into significant sums. Under conventional ratemaking, much of that spending enters the utility’s general rate base and is recovered from all customers. A dedicated data center rate class changes that default.

    Tariffs of this kind elsewhere have typically included features such as minimum demand charges (paying for a high share of requested capacity whether or not it is used), long contract terms, collateral requirements, and exit fees — protections against a utility building for a load that never materializes. Whether New Jersey’s bill includes these specific mechanisms is not detailed in the source report, and the final terms will determine how burdensome or benign the framework proves in practice.

    Winners, Losers, and the Competitive Map

    Residential and small-business ratepayers are the intended beneficiaries: the bill’s premise is that they should stop subsidizing infrastructure built for hyperscale computing. Utilities gain clearer cost-recovery rules and stronger protection against stranded investment, though they lose some flexibility in courting large customers with favorable terms. For data center developers, the calculus is mixed — a transparent tariff provides pricing certainty that ad hoc negotiations do not, but it likely raises the all-in cost of a New Jersey megawatt.

    The competitive question is whether developers simply build elsewhere. New Jersey offers real advantages — proximity to New York, dense fiber routes, and a deep enterprise customer base — but neighboring PJM states compete for the same projects. The counterpoint: states including Ohio and Georgia have already adopted large-load protections through their regulators, and development there has continued. Grid cost allocation is one input among many; power availability, land, latency, and tax treatment often weigh more heavily.

    The Signal to the Industry

    The larger story is a shift in the default social contract around data center growth. Through the first wave of the AI boom, states competed to attract data centers with incentives; the emerging second phase pairs that welcome with conditions, particularly on energy. For hyperscalers and colocation operators, the practical takeaway is that grid-cost responsibility is becoming a standard feature of U.S. market entry, not an outlier risk. That strengthens the case for strategies the industry is already pursuing: securing generation directly, co-locating with power sources, and engaging early with regulators rather than arriving with a load request after the fact.

    Background

    New Jersey occupies a distinctive position in the data center landscape: adjacent to New York City, laced with dense fiber routes, and home to a long-established financial-services and enterprise colocation market. Like the rest of the PJM region, it has felt the bill impacts of surging capacity prices as data center demand — increasingly driven by AI training and inference workloads — reshapes grid planning.

    The question of who pays for that growth has moved rapidly up state agendas since 2024. Utility regulators in several states have approved special rate provisions for very large loads, and legislatures have begun taking up the issue directly. New Jersey’s bill, as reported by Utility Dive, places the state among the earlier movers to address data center cost allocation by statute rather than leaving it wholly to regulatory proceedings.

    Source: New Jersey lawmakers send data center tariff bill to governor — Utility Dive’s July 2, 2026 report on the legislature passing a data center tariff measure and forwarding it for the governor’s signature.