Field notes The Energy Transition for the Rest of Us

Catalyst N° 124 of 125 10 Sep 2026

Do data centers really increase electricity prices?

with Andy Lubershane, partner and head of research, Energy Impact Partners

In this note
  1. 01The question
  2. 02The answer
  3. 03The argument
  4. 04What you need to know first
  5. 05Details worth keeping
  6. 06Claims worth citing
  7. 07Where it’s contested

The question

Are data centers making your electricity bill go up?

The answer

No and yes, and which one is true depends entirely on whether you mean your utility bill or electricity prices generally. A data center arriving in your utility’s territory will most likely hold your rates flat or push them down a little. Meanwhile, at a global level almost every component of the grid is getting dramatically more expensive, with data center demand the largest single contributor but well short of the only one, so most people’s bills are going up anyway. Both things are true at once, and the gap between them is the whole story.

03The argument

Start with how a utility actually sets rates. Take everything it costs to serve every customer in the territory, divide by the total kilowatt-hours sold, and that ratio drives the price. Now add a data center. It costs something to connect and serve, which pushes the top of that fraction up, but it also buys an enormous volume of electricity, which pushes the bottom up. If the bottom grows faster than the top, everyone’s rate goes down. Five years ago that held in a lot of territories, because many grids still had spare capacity sitting around and a new customer could be served without building much of anything.

That headroom is now gone. Serving a large new load today usually means new generation, new transmission, substation upgrades, real money on the top of the fraction. On the arithmetic alone the local answer became genuinely uncertain. What rescues it is that rates are not set by arithmetic alone. For a mid-sized utility’s entire load, a few-hundred-megawatt data center might add 10% or more while gigawatt-scale projects might be in the range of 30% or more. That makes it an extraordinary customer, and utilities have figured out that they hold the cards. They now negotiate bespoke deals that make the data center cover its own costs and then some. So the local answer lands back on neutral-to-slightly-positive, and utilities have started going to regulators asking to lower rates because of large loads. Early evidence supports it: an EPRI study found no correlation between data center presence and higher prices, and a small benefit to customers once you control for confounding variables.

Then the picture inverts when you zoom out to the global level. Lubershane is precise about the attribution here: data centers are one factor among many, though the biggest one, behind a surge in electricity demand fast enough to count as a genuine demand shock. Every link in the supply chain is bottlenecked and prices show it, with conductor roughly doubled, transformers more than doubled, switchgear doubled and gas plants two to three times more expensive. Renewables, which spent a decade pushing prices down, now cost more to interconnect while their tax credits wind down.

The rest of the pressure has nothing to do with AI at all. Tariffs, LNG exports raising domestic gas prices, general inflation and a rising cost of capital for an extraordinarily capital-intensive system all push the same direction and are largely orthogonal to anything data centers are doing. And then the detail that makes the whole thing bite hardest: roughly two-thirds of what US utilities spend is not about growth in any form. It is maintenance and hardening, replacing worn-out equipment, storm and wildfire work, and every dollar of it would be spent if the data center boom had never happened. That non-negotiable two-thirds now costs more too, because the supply chain squeeze raises the price of the same transformer whether it is going into a new data center or replacing a broken one. No local tariff negotiation touches any of this.

Which produces a genuinely awkward conclusion. Because the local effect is good and the systemic effect is bad, the rational thing for any individual community is to want as many data centers as possible in their territory. It is a prisoner’s dilemma: everyone competing for the local benefit while collectively driving the systemic cost.

04What you need to know first

How rates get set
Total cost to serve everybody, divided by total kilowatt-hours sold. Nearly every argument in this episode is about whether a new customer moves the top or the bottom of that fraction faster.
Headroom
Spare capacity on the existing grid. When it exists, new customers are cheap to serve. It is largely used up, which is why the old intuitions about big new loads no longer hold.
Tariff
The specific negotiated rate structure a utility sets for a large customer. This is the lever that decides whether a data center subsidizes everyone else or free-rides on them.

05Details worth keeping

  • The public’s stated objections do not match the analysis. In a recent Gallup poll the top reason people oppose nearby data centers is water use, with energy consumption second and electricity prices third. Lubershane thinks water is largely a red herring outside genuinely water-stressed regions, while noting it is not his area.
  • There is a trust problem underneath the numbers. Even where data centers lower rates relative to what they would have been, absolute bills still rise for other reasons, so nobody perceives the benefit. Both hosts suspect people distrust utilities, data center operators and politicians enough that the rate argument may not land regardless.
  • Energy is only about 5% to 10% of a data center’s cost of goods sold, which means operators could absorb substantially higher power prices. This is what makes proposals to extract much larger community benefits arithmetically plausible rather than fantasy.
  • Electricity has held remarkably steady at 1% to 1.5% of average personal income since 2010, and the share of income spent on electricity has been stable for around 70 years. But for low-income and fixed-income households it can run 5% to 10% or more, so the averages hide where rate changes actually hurt.
  • Several inflationary pressures are unrelated to data centers: tariffs, LNG exports raising domestic gas prices, general inflation, and a higher cost of capital for an extremely capital-intensive system.
  • On solutions, the honest answer is “all of it,” but two get singled out. Energy efficiency may finally pencil out for consumers and get treated by utilities as a real planning resource rather than a compliance obligation. Load flexibility and distributed batteries are the other, with utilities starting to procure distributed capacity directly.

06Claims worth citing

All figures as stated on 2026-09-10 and attributed to the speaker, not verified independently. Supply chain prices in particular are moving fast.

  • Conductor roughly 2x more expensive, transformers 2x or more, switchgear 2x, gas power plants 2-3x. Lubershane
  • Combined-cycle gas turbines quoted in the $3,600-$4,000 per kilowatt range, with both speakers noting each new data point sets a record. Kann, Lubershane
  • About two-thirds of all US utility spending goes to maintenance and hardening rather than growth. Edison Electric Institute, cited by Lubershane
  • For a mid-sized utility, a few-hundred-megawatt data center might add 10% or more of total load, while gigawatt-scale projects reach 30% or more. The source sentence runs the figures together with an aside about gigascale, so it is worth reading the transcript before quoting a precise split. Lubershane
  • Data centers are one factor among many behind rising global power costs, and the biggest single one, but not the only one. Lubershane
  • Energy is roughly 5-10% of a data center’s total cost of goods sold. Lubershane
  • Electricity has been 1-1.5% of average personal income since 2010, declining slightly; 5-10%+ for lower-income households. Lubershane
  • EPRI study: no naive correlation between data center presence and higher electricity prices; a modest customer benefit after controlling for confounders. Lubershane describes the effect as minor and puts a number around 6% on it, but the phrasing is loose enough that the base is unclear. Worth reading the study before quoting the figure.

07Where it’s contested

  • Whether the rate argument changes any minds. Lubershane explicitly frames this as an untested hypothesis: if operators and utilities offered genuinely generous terms to other ratepayers, it is unknown whether opposition would soften. He suspects the real driver is distrust and broader feelings about AI.
  • Whether water deserves its top billing. Flagged as likely a red herring in most locations, but explicitly outside the speaker’s expertise.
  • How much the labor shortage matters. Kann argues electricians are a small share of total electricity cost, so it is not the main price driver. Lubershane counters that it is “everything and nothing,” small in cost terms but a hard binding constraint, since an unstaffed substation does not get built. Both agree it is the slowest problem to fix.
  • The systemic question is genuinely unstudied. Local impacts are starting to produce real data. Kann notes he has seen no comprehensive analysis of the macroeconomic question and expects better evidence within about a year.

Cite as: “Do data centers really increase electricity prices?,” The Energy Transition for the Rest of Us, note on Catalyst with Shayle Kann, September 10, 2026. CC BY 4.0. View the Markdown