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.

PJM Interconnection’s independent market monitor has concluded that AI-driven data center growth is reshaping the power markets it oversees, according to a June 2026 report from Data Center Knowledge. PJM operates the largest wholesale electricity market in the United States, coordinating the grid across 13 states and the District of Columbia for roughly 65 million people.

The finding matters because it comes from the market’s designated referee rather than from a vendor or developer: the monitor exists precisely to assess, without commercial interest, whether the market is functioning competitively — and it is now attributing a fundamental shift in that market to data center load.

Executive Summary

The headline is short but consequential: PJM’s market monitor — the independent body charged with policing competition in the nation’s largest electricity market — has identified AI data center growth as a force actively reshaping that market. For two decades, US grid planners worked in a world of essentially flat electricity demand, where efficiency gains offset economic growth. That assumption has broken, and PJM, whose footprint includes Northern Virginia’s Data Center Alley, is where it broke first and hardest.

When the market monitor says demand growth is ‘reshaping’ the market, it is signaling that data center load is no longer a forecasting footnote but a structural driver of prices, planning, and investment decisions. PJM’s recent capacity auctions — the mechanism that pays generators to be available years in advance — have produced record-setting results widely attributed in part to surging demand forecasts, and those costs flow through utility bills to every customer class.

For the industry, an independent confirmation of this shift cuts both ways. It validates the scale of the AI infrastructure build-out that developers have been describing. It also raises the stakes for how that growth is managed: who pays for new transmission and generation, how speculative interconnection requests are filtered from real ones, and whether supply can be added fast enough to keep reliability and affordability intact.

From Forecasting Footnote to Structural Force

The most important word in this story is ‘reshaping.’ Grid operators revise load forecasts constantly; what they rarely do is declare that the character of the market itself has changed. PJM’s service territory covers all or part of 13 states and DC, and it includes the densest concentration of data centers on the planet in Northern Virginia. When demand there grows, it does not simply add megawatts — it changes which power plants run, where transmission congestion appears, and how much capacity the market must procure years ahead.

An assessment from the independent market monitor carries different weight than one from PJM itself or from data center developers. The monitor’s role — in PJM’s case performed by an outside firm — is to evaluate market competitiveness and flag structural problems without a commercial stake in the outcome. Its reports are read closely by federal and state regulators. Framing AI data center growth as market-reshaping effectively puts the issue on the regulatory agenda, not just the industry conference circuit.

Capacity Markets, and Who Ends Up Paying

PJM runs a capacity market: generators are paid not only for the electricity they produce but for committing to be available during future peak periods. When demand forecasts rise sharply — as data center growth has caused them to — the market must procure more capacity against a supply base that has been shrinking as older coal and gas plants retire. Basic economics follows: tighter supply against higher demand means higher clearing prices, and PJM’s recent auctions have set records that state officials and consumer advocates have publicly protested.

Capacity costs are socialized across ratepayers, which is where the political friction originates. Households and small businesses in PJM states are seeing bill increases driven partly by demand they did not create. Expect the policy debate to center on cost allocation: large-load tariffs that require data centers to underwrite the infrastructure they trigger, minimum take-or-pay commitments, and rules for co-located or behind-the-meter arrangements where a data center pairs directly with a power plant. How those rules land will materially affect data center project economics in the region.

Winners, Losers, and the Speculation Problem

The near-term winners are clear: owners of existing generation in PJM, whose assets have been revalued by scarcity, and transmission developers with projects in flight. Data center operators with secured power — signed interconnection agreements and energized substations — hold an asset that is increasingly the scarcest input in the industry. The squeezed parties are late-arriving developers facing multi-year waits for grid connection, and energy-intensive industries competing for the same electrons.

The unresolved analytical problem is demand-forecast quality. It is widely acknowledged in the industry that developers file interconnection requests with multiple utilities for the same prospective project, meaning some portion of announced demand is duplicative or speculative. If markets procure capacity against inflated forecasts, ratepayers overpay; if forecasts are discounted too aggressively and the load shows up, reliability suffers. Distinguishing real load from phantom load is arguably the central technical challenge the monitor’s finding implies — and one the industry itself has an interest in helping solve, since credibility with regulators depends on it.

The Supply Response Is the Whole Game

High prices are a symptom; the cure is new supply, and here timelines diverge badly. A hyperscale data center can be built in roughly two to three years. New gas turbines face multi-year equipment backlogs, nuclear operates on decade scales, and renewables plus storage — often the fastest option — face their own interconnection queues and siting fights. Transmission, the connective tissue, is slower still.

That mismatch, more than any single auction result, is what ‘reshaping the market’ means in practice. It pushes data center operators toward creative structures: siting near existing generation, contracting directly for new-build power, investing in on-site generation, and accepting flexibility obligations — curtailing or shifting load during grid stress — in exchange for faster connection. For infrastructure providers, grid access has moved from a line item in site selection to the decisive variable.

Background

PJM traces its roots to a 1927 power pool between Pennsylvania and New Jersey utilities and has grown into the largest regional transmission organization in the US, dispatching power across 13 states and DC. An independent market monitor oversees its wholesale markets and publishes regular assessments of their competitiveness and health. For most of the 2000s and 2010s, PJM — like the rest of the US grid — planned around flat demand, as efficiency gains offset economic growth.

That era ended as cloud and then AI data center construction accelerated, concentrated in PJM territory around Northern Virginia. The region’s recent capacity auctions have produced record-setting prices that drew objections from state officials and consumer advocates, putting data center load growth at the center of an escalating debate over grid reliability, cost allocation, and how fast new generation and transmission can be built.

Source: PJM Monitor: AI Data Center Growth Reshaping Power Markets — Data Center Knowledge report on the PJM independent market monitor’s assessment of AI-driven load growth, June 3, 2026.

Southern Company, the Atlanta-based utility holding company whose subsidiaries include Georgia Power, Alabama Power, and Mississippi Power, reported soaring electricity sales driven by 42% growth in its data center segment, according to a May 1, 2026 report from Utility Dive. The figure stands out because it converts years of talked-about AI demand projections into a number showing up in an actual utility’s actual sales.

Executive Summary

For two years, the electricity industry has debated whether the enormous data center load forecasts attached to the AI build-out would materialize or evaporate. Southern Company’s reported 42% growth in data center electricity sales is one of the clearest signals yet that, at least in the Southeast, the demand is real, metered, and being billed. Electricity sales — as opposed to interconnection requests or load forecasts — represent power actually delivered to operating facilities.

The announcement matters beyond Southern’s own territory. Utilities have quietly become one of the most durable beneficiaries of the AI infrastructure cycle: unlike chipmakers or cloud providers, they sell a regulated, contracted product to customers who cannot easily relocate once a facility is energized. A 42% jump in one demand segment, if sustained, reshapes how regulators, investors, and data center developers should read utility growth plans across the Sun Belt.

From Forecast to Booked Revenue

The data center power story has been dogged by a credibility gap: interconnection queues across the United States are stuffed with speculative and duplicate requests, as developers file with multiple utilities for the same project. Skeptics have reasonably asked how much of the forecast load is real. Sales figures cut through that noise. When a utility reports 42% growth in data center electricity sales, it is describing megawatt-hours delivered to energized buildings and invoiced to customers — not letters of intent.

That distinction matters for how the market prices the AI build-out. Forecasts can be revised down quietly; delivered sales cannot. Southern’s number suggests that in its Southeast footprint, the pipeline of announced hyperscale and colocation projects is converting into operating load at pace. It also implies that the facilities energized in recent quarters are ramping utilization, since sales growth reflects consumption, not just connection.

Why Utilities Are the AI Build-Out’s Quiet Winners

The AI investment narrative has centered on GPU vendors and hyperscalers, but the utility position in the value chain is structurally attractive in a different way. Data centers are among the most creditworthy, longest-duration customers a utility can sign, and once built they are effectively immobile — a facility with hundreds of millions of dollars in the ground does not switch power providers. For a vertically integrated, rate-regulated utility like Southern’s subsidiaries, growing load also supports the case for new generation and transmission investment, on which regulated utilities earn an authorized return.

Southern is also unusually well positioned on supply. Its Georgia Power subsidiary completed Vogtle Units 3 and 4 — the first newly constructed nuclear reactors in the U.S. in decades — giving it firm, carbon-free baseload capacity precisely as large-load customers began demanding both reliability and clean-energy attributes. The Southeast’s combination of available land, water, fiber routes, and historically constructive regulation has made Georgia in particular one of the fastest-growing data center markets in the country.

The Ratepayer and Capacity Question

Rapid large-load growth is not an unalloyed good, and regulators know it. The central policy question is cost allocation: who pays for the new generation and grid capacity that data centers require? If a hyperscaler’s load justifies a new gas plant or transmission line and that customer later scales back, ordinary households and small businesses could be left carrying the cost. Several states, including Georgia, have been developing special rate structures and minimum-take contract terms for very large customers to insulate other ratepayers from exactly this risk.

There is also a physical question. A 42% growth rate in any demand segment tests reserve margins — the cushion of spare generating capacity utilities maintain for peak conditions. Sustained growth at anything like this pace forces choices among new gas capacity, renewables paired with storage, nuclear uprates, and demand flexibility, each with different cost, carbon, and timeline profiles. How Southern and its regulators sequence that build will determine whether today’s sales growth becomes tomorrow’s reliability headline.

What It Signals for the Data Center Market

For data center developers and tenants, the signal is double-edged. Confirmation that Southeast load is materializing validates the region’s status as a top-tier market — but it also means the easy capacity is being absorbed. As delivered load climbs, utilities gain leverage: expect longer interconnection timelines for new requests, stricter contract terms, larger upfront commitments, and less tolerance for speculative reservations. Power availability, not land or fiber, remains the binding constraint on where the next wave of AI capacity gets built.

For investors, the takeaway is that utility exposure to AI is no longer hypothetical. The sector’s traditional appeal was stability rather than growth; a demand segment compounding at double-digit rates changes that math for the handful of utilities sitting under major data center clusters — while raising the stakes on execution, since regulated returns depend on building capacity on time and on budget.

Background

Southern Company traces its roots to the early twentieth-century electrification of the American Southeast and today ranks among the largest U.S. utility holding companies, operating primarily through state-regulated subsidiaries Georgia Power, Alabama Power, and Mississippi Power. Its highest-profile recent undertaking was the expansion of Plant Vogtle in Georgia, where Units 3 and 4 — the first newly constructed nuclear reactors completed in the United States in a generation — entered service after years of delays and cost overruns, ultimately giving the company scarce firm, carbon-free capacity.

That capacity arrived just as the generative-AI boom transformed electricity demand. After roughly two decades of flat U.S. load growth, utilities began reporting surging interconnection requests from hyperscale data center developers around 2023, with Georgia emerging as a leading destination. The open question has been how much of that forecast demand would become real consumption — which is what makes delivered-sales figures like this one significant.

Source: Southern Co. electricity sales soar on 42% data center growth — Utility Dive’s May 1, 2026 report on Southern Company’s data-center-driven electricity sales growth.

The Midcontinent Independent System Operator (MISO) — the grid operator coordinating electricity across a footprint spanning 15 U.S. states and the Canadian province of Manitoba — expects electric load to jump roughly 35% by 2035, according to an April 2026 report from Utility Dive. The primary driver named in the forecast is data center growth.

A 35% increase over roughly a decade represents a dramatic break from the era of essentially flat U.S. electricity demand that prevailed from the late 2000s through the early 2020s, and it puts one of the largest grid operators in North America on record quantifying the scale of the AI-and-cloud buildout.

Executive Summary

MISO’s forecast is a planning document, not a press release from a company selling something — which makes it one of the more consequential data points in the ongoing debate over how much electricity the data center boom will actually consume. Regional transmission organizations (RTOs) like MISO exist to keep supply and demand balanced in real time and to plan the wires and generation needed years ahead. When an RTO raises its ten-year demand outlook by more than a third, that number flows directly into transmission planning, capacity auctions, and the resource plans of dozens of utilities.

The significance is twofold. First, it validates what individual utilities across the Midwest and Gulf South have been reporting piecemeal: hyperscale data center projects are arriving in interconnection queues at a pace with no modern precedent. Second, it sets up a decade of hard trade-offs. Meeting 35% growth requires new generation, new transmission, and new large-load interconnection rules — all on timelines that historically run slower than the two-to-three-year construction schedule of a data center campus.

For the infrastructure industry, the headline number is both an opportunity signal and a warning: the grid is now the binding constraint on digital infrastructure growth, and the regions that solve power delivery fastest will win the next wave of siting decisions.

The End of Flat Demand Is Now Official Planning Doctrine

For roughly fifteen years, U.S. grid planners could assume that efficiency gains — LED lighting, better HVAC, industrial offshoring — would offset economic growth, keeping total electricity demand nearly flat. That assumption underpinned everything from utility rate cases to power plant retirement schedules. A 35% load-growth forecast from MISO formally retires it for one of the largest grid footprints in North America.

What makes an RTO forecast different from a consultant’s projection is accountability: MISO must plan transmission and resource adequacy against this number. If the forecast is right and the buildout lags, the result is capacity shortfalls and price spikes. If the forecast is wrong and infrastructure is overbuilt, ratepayers carry stranded costs. Either error is expensive, which is why the assumptions behind the number — how much announced data center load actually materializes — deserve as much scrutiny as the number itself.

Data Centers as the Marginal Buyer of Power

A data center is, from the grid’s perspective, an unusual customer: it demands large blocks of power (often hundreds of megawatts per campus), runs at high utilization around the clock, and wants to connect years faster than traditional industrial load. When such customers become the dominant source of demand growth, they effectively set the terms of grid expansion — and grid operators, utilities, and regulators are still working out who pays for the upgrades those connections require.

The economics cut in several directions. Utilities in MISO territory gain a growth story they have not had in a generation, which supports investment in wires and generation. Existing ratepayers face the risk of subsidizing infrastructure built for loads that may not fully arrive — a concern regulators in several states are already addressing through special large-load tariffs and financial-commitment requirements. Data center developers, meanwhile, face the reality that power availability, not land or fiber, now determines where and when they can build.

Winners, Losers, and the Speed Mismatch

The core tension in a 35%-by-2035 scenario is timing. Gas turbines face multi-year order backlogs, new nuclear operates on decade-plus horizons, and large transmission projects routinely take seven to ten years from planning to energization. Data center campuses go from groundbreaking to load in two or three. That mismatch favors whoever can bridge it: developers with early interconnection positions, utilities with spare capacity or fast-track large-load processes, suppliers of grid equipment, and operators pursuing on-site or co-located generation.

It also raises competitive stakes between regions. MISO’s footprint — stretching from the upper Midwest to the Gulf Coast — competes with PJM, ERCOT, and the Southeast for hyperscale siting. A credible, well-executed plan to serve 35% more load is itself an economic-development asset; a forecast without matching buildout is a queue of frustrated customers who will site elsewhere.

Forecast Versus Reality: The Phantom Load Question

Every load forecast in the current environment must grapple with duplicate and speculative requests. Developers commonly file interconnection requests in multiple jurisdictions for the same project, and some announced campuses will never be built. Grid operators know this and apply screening assumptions, but the industry has little historical data on what fraction of AI-era announced load converts to actual consumption. The honest read of any 35% figure is that it is a planning scenario with meaningful uncertainty in both directions — actual growth could undershoot if projects evaporate, or overshoot if AI demand keeps compounding.

That uncertainty is not a reason to dismiss the forecast; it is a reason to watch how MISO and its member utilities structure commitments. Mechanisms that require large customers to put capital at risk — minimum-take contracts, collateral requirements, contribution to network upgrades — are the market’s way of separating real load from phantom load, and their adoption across the footprint will be a better indicator of true demand than any single projection.

Background

MISO was founded in 1998 and became the first FERC-approved regional transmission organization in the United States in 2001. It coordinates generation and high-voltage transmission across a footprint stretching from the upper Midwest down through the Gulf South, serving tens of millions of people through its member utilities. Like other RTOs, it does not own power plants or lines; it operates markets and plans the system that its members build.

The forecast arrives amid a broader U.S. re-acceleration of electricity demand after more than a decade of stagnation, driven by AI and cloud data center construction, manufacturing reshoring, and electrification. Grid operators across the country have been revising load outlooks upward repeatedly since the early 2020s, and interconnection queues for both large loads and new generation have swelled to historic levels — making forecasts like this one central to the industry debate over how much of the announced boom is real.

Source: MISO expects load to jump 35% by 2035 on data center growth — Utility Dive report, April 21, 2026, on MISO’s ten-year load forecast.