Data centers
Aldie, VA - January 20: On what was recently farmland, Amazon data centers have been built as close as 50 feet from Loudoun Meadows houses on January 20, 2023, in Aldie, VA. As the data center industry expands its footprint in Northern Virginia, often building massive commercial structures near residential neighborhoods, communities push back with their concerns.(Photo by Jahi Chikwendiu/The Washington Post)
From sports facilities to data centers, not all projects add to local economic activity in the way that they are touted by proponents. Data centers don't have a lot of jobs after construction, and the facility in and of itself doesn't generate business development of other types.
Not an issue for me but they pose big issues in terms of electricity needs ("Power costs soar in PJM region as data center demand spikes," Reuters), and water. WRT electricity, in part rates increase on all users to produce energy for data centers which is unfair.
Also, it requires upgrade to the transmission system, which is overburdened as well.
Because of the demand posed by data centers, adding renewable sources isn't enough. They need to use fossil fuel generated electricity too, The water demands too are incredible, although to some extent the water can be recycled. Here are some resources.
-- "Amazon data centers are not an investment in us," Philadelphia Inquirer
The truth is, Big Tech’s AI-fueled data center frenzy is hurtling us further and faster into environmental catastrophe. A single data center can use as much energy as an entire city. Tech corporations are demanding so much extra energy and water as they compete for AI dominance that entire coal plants scheduled for closure are being kept open.
-- "The AI Data-Center Boom Is a Job-Creation Bust," Wall Street Journal
“Data centers have rightly earned a dismal reputation of creating the lowest number of jobs per square foot in their facilities” said John Johnson, chief executive of data-center operator Patmos Hosting.
... The reality is data centers can employ more than 1,000 people in the several months or years it takes to build them, but rarely need more than one or two hundred once they open, according to Synergy chief analyst John Dinsdale. Stargate would have to be much larger than currently planned to create hundreds of thousands of construction jobs, let alone permanent ones.
-- "Tax Breaks For Data Centers Bring Few Jobs," Forbes
Data Centers As Infrastructure Projects. As governments look to stimulate economic development, it is crucial to see the industries they are supporting for what they are—rather than what they’d like them to be. Data centers, while essential to the modern economy, do not serve as permanent and ongoing job creation engines anymore than the construction of a highway or a bridge does.
Data center construction more closely resembles infrastructure projects that provide a backbone for economic activity, rather than being viewed as economic activity itself. It is for this reason that private industry seeks to offload the cost of data center construction onto taxpayers—it is increasingly becoming merely the cost of doing business rather than a profit center or competitive advantage.
As such, it is more appropriate for public subsidies to focus on construction and development of these facilities and the infrastructure required to make use of them—rather than their ongoing operation and ownership. Investing in the construction and laying out of telecommunications infrastructure can be justified in the broader context of development in underserved areas.
Subsidizing ownership of data centers, through property and sales tax breaks for example, is less defensible. The tech companies that dominate the market for these centers are among the most valuable companies in the world, with market caps that regularly dwarf the gross domestic product of the states they are asking to foot the bill. These corporations have ample resources to manage their own operational costs without public support.
For example, building data centers as a project adjacent to enhancing digital connectivity, which in turn can attract other businesses and support economic growth, makes good policy sense. Similarly, ensuring data centers make use of renewable energy sources by subsidizing their provisioning returns broader social benefits.
Subsidizing ownership of data centers, through property and sales tax breaks for example, is less defensible. The tech companies that dominate the market for these centers are among the most valuable companies in the world, with market caps that regularly dwarf the gross domestic product of the states they are asking to foot the bill. These corporations have ample resources to manage their own operational costs without public support.
State governments should therefore reconsider their approach to supporting data centers, focusing on subsidies for the construction phase and overall improvement of internet infrastructure. Simultaneously, states must ensure that these investments are tied to clear public benefits such as job creation in the construction industry, environmental sustainability, and enhanced connectivity for under-connected communities.
-- "How a Washington Tax Break for Data Centers Snowballed Into One of the State’s Biggest Corporate Giveaways," ProPublica
-- "Beating back data centers," American Prospect
Virginia state lawmakers aiming to establish a regulatory framework have run into obstacles. The industry has established the Data Center Coalition, their own PAC, comprised of heavy hitters like Amazon, CloudHQ, Visa, and others. The coalition has been at work in the Virginia General Assembly, spending $70,500 in campaign contributions so far this year.
Several bills that would have established a set of regulations failed last session, including one proposed by Del. Josh Thomas that would have required applicants to perform site assessments that detail noise, water, agriculture, parks, registered historic sites, and forest impacts. Virigina Gov. Glenn Youngkin (R), a vocal proponent of the centers, vetoed the bill, citing infringements on local control and red tape.
... OpenAI’s GPT-4 uses as much as three 16.9-ounce bottles of water to produce a 100-word email.
-- Good Jobs First has a number of reports and articles on the subject, including "Community Benefit Agreements with Data Centers Can Help Mitigate Harms," which takes the position I do on sports facilities--if you can't beat them, get the best possible deal for the community.
-- "Data centers need to bring their own power supply, watchdog says," Bloomberg via Crain's Chicago Business
Labels: building a local economy, data centers, economic development, electric utility infrastructure, land use planning, utilities, water supply and use, zoning



22 Comments:
Tiny Texas town’s transformation into mega data center hub sparks concerns
https://www.mysanantonio.com/realestate/article/microsoft-data-centers-castroville-san-antonio-20827271.php
How power-hungry could data centers be? Proposals total more than a dozen Fermi plants
https://www.crainsdetroit.com/politics-policy/michigan-data-centers-may-power-demand-16-gigawatts
Michigan’s two major utilities are preparing to add multiple gigawatts of electricity load to serve new massive data centers in coming years amid a surge of demand for artificial intelligence and cloud computing capacity.
Just how much is a gigawatt?
It is basically the output of an entire large power plant, like DTE Energy Co.'s Fermi 2 nuclear facility or Consumer Energy Co.'s natural gas-fired Covert Generating Station, each of which produce nearly 1,200 megawatts of electricity, equivalent to 1.2 gigawatts.
Or nearly 1.9 million solar panels. Or almost 300 utility-scale wind turbines. Or half of the Hoover Dam’s output.
Many hyperscalers — think Amazon, Apple, Google and Microsoft — require 300-400 megawatts of power, some up to a gigawatt, he said. Most large energy users, like manufacturing plants, are significantly smaller.
https://www.chicagobusiness.com/opinion/data-centers-are-key-our-economic-future-bob-clark-op-ed
Why we need data centers — and honest talk about them
Now, in the 21st century, the engine of the modern economy is no longer made of iron and smoke — but of silicon and light. Data centers and artificial intelligence are today’s railroads, and they’re facing the same backlash that every disruptive force in history has endured.
But let’s be honest: The driver of this transformation isn’t some faceless corporation or foreign entity. It’s us. Every one of us. From the moment we wake up, we’re surrounded by the results of our own consumption: the mattress we sleep on, the toothbrush in the bathroom, the soap and shampoo in the shower. We watch the morning news on a TV powered by a grid we constantly strain, while shaking our heads about the climate change we help accelerate.
And this was before the digital explosion — before the BlackBerry, the iPhone, the iPad, before every moment of our lives required a cloud connection. Now we stream our music, our meetings, and our memories, all hosted in vast data centers we can’t see and barely understand, yet depend on completely.
We don’t want the mines, the plants, or the substations near our neighborhoods, even as we order another device, open another app, or binge another show. We object to the power plant, but not to the power. We condemn data centers while demanding infinite access to the data they serve.
Concerns over data centers drive local election in Northern Virginia
https://www.washingtonpost.com/dc-md-va/2025/11/08/prince-william-county-gainseville-election/
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Data Drain: The Land and Water Impacts of the AI Boom - Lincoln Institute of Land Policy
https://www.lincolninst.edu/publications/land-lines-magazine/articles/land-water-impacts-data-centers/
There’s a reason electricity prices are rising. And it’s not data centers.
https://www.washingtonpost.com/climate-environment/2025/10/25/data-centers-electricity-prices-rise/
a new study from researchers at Lawrence Berkeley National Laboratory and the consulting group Brattle suggests that, counterintuitively, more electricity demand can actually lower prices. Between 2019 and 2024, the researchers calculated, states with spikes in electricity demand saw lower prices overall. Instead, they found that the biggest factors behind rising rates were the cost of poles, wires and other electrical equipment — as well as the cost of safeguarding that infrastructure against future disasters.
“It’s contrary to what we’re seeing in the headlines today,” said Ryan Hledik, principal at Brattle and a member of the research team. “This is a much more nuanced issue than just, ‘We have a new data center, so rates will go up."
https://www.sciencedirect.com/science/article/pii/S1040619025000612#sec0020
Air Force offers federal land for private-sector AI data centers
https://breakingdefense.com/2025/10/air-force-offers-federal-land-for-private-sector-ai-data-centers/
This led to two PSC seats in Georgia being won by Democrats.
Fears over higher rates as Georgia moves to provide more electricity for AI datacenters
Democrats win key Georgia special elections seen as midterm bellwethers
https://thehill.com/homenews/5589670-gop-incumbents-lose-seats/
https://www.theguardian.com/us-news/2025/oct/19/georgia-electricity-datacenters
https://www.mlive.com/news/2025/11/consumers-energy-rate-changes-aim-to-shelter-customers-from-ai-data-center-costs.html
Consumers Energy rate changes aim to shelter customers from AI data center costs
Consumers Energy, Michigan’s second largest electric utility, has a newly modified electric rate in place that will allow it to serve power-hungry data centers undergirding artificial intelligence while protecting other customers from picking up the tab.
The measure, the first of its kind in Michigan, got the all-clear from state regulators on Thursday, Nov. 6 as big tech companies eye the Great Lakes State for data centers drawing more power than entire cities and utilities line up to get a piece of the pie.
“We recognize that the data center industry is still in flux both nationally and within our state. That uncertainty makes it all the more important to put protections in place now,” said Shaquila Myers, a member of the Michigan Public Service Commission, the regulatory body that approved the rate changes on Thursday.
Myers and other regulators said they hoped to avoid a situation where residential customers paid for any of the hundreds of millions of dollars in utility investment in new power lines, substations and power plants that are required to support the largest “hyperscale” data centers and their racks of servers.
Another risk is that the boom in facilities fueling the AI and cloud computing needs of tech giants like Microsoft, Google and Amazon proves speculative. If demand fails to materialize, other customers could be left “holding the bag,” regulators warned.
Under the rate modifications, data centers and big power users will be locked into 15-year minimum contracts and be billed for 80% of their contracted power, regardless of use. The idea behind the measures is to ensure large customers cover the costs of power infrastructure that is built out to serve them.
Other protections include required “exit fees” if data centers shut down before their contracts end, equivalent to their minimum monthly bill multiplied by the months remaining on the contract.
https://www.pewresearch.org/short-reads/2025/10/24/what-we-know-about-energy-use-at-us-data-centers-amid-the-ai-boom/
Why So Much Is Riding on the Data Center Boom
https://www.bloomberg.com/news/features/2025-11-21/how-the-data-center-boom-tests-grids-water-resources-capital-markets
he largest AI data centers are expected to gobble up at least a gigawatt of electricity, enough to power roughly 750,000 US homes. If data centers were a country, by 2035 they would be the fourth-largest consumer of electricity after the US, China and India, according to BloombergNEF estimates.
The boom is not only reshaping landscapes and communities but also straining power grids, scarce environmental resources and, potentially, financial markets. At stake are hundreds of billions of dollars committed by investors to a technology whose business model is still a work in progress.
Tech companies have touted the potential jobs AI data centers create. OpenAI has said Stargate will create “hundreds of thousands” of US positions. Most are temporary construction roles, as data centers don’t require a lot of permanent staff to operate them. A local development agency near the first Stargate site in Abilene, Texas estimated that, once up and running, the site will require about 100 high-skilled roles in the first phase. A similar-sized car factory typically employs several thousand skilled staff.
Local governments can benefit from data centers, with some levying taxes on the facilities as a way to fund services and reduce property-tax rates. Companies also pitch community grants and workforce training: Meta says its Louisiana campus will fund school grants and offer no-cost digital-skills training, and Google and Microsoft publicize similar education and training programs around their sites.
There are also downsides. For example, the AI buildout is having an impact on the cost and quality of power for other users. US wholesale electricity costs as much as 267% more than it did five years ago in areas near large data centers, a Bloomberg analysis found. That’s being passed on to customers through higher bills. A separate Bloomberg analysis showed that households near large data center campuses face degraded power quality. Voltage and frequency distortions in these areas can damage or destroy household appliances and electronics, raise the risk of electrical fires during surges, and cause lights to flicker. Over time, those conditions can tip neighborhoods into brownouts and blackouts.
Water is another potential flashpoint. Data centers run hot, and many facilities rely on evaporative cooling that uses large volumes of water. A typical 100-megawatt facility can use about 530,000 gallons of water a day. Increasingly, data centers are being established in places that have the least water to spare. A recent Bloomberg analysis found that nearly two-thirds of new US data centers since 2022 are in high-water-stress regions, sometimes leading to disputes over public supplies. In The Dalles, Oregon, residents pressed for details on Google’s water usage and challenged plans for new wells to supply data centers.
The Data Center Resistance Has Arrived
A new report finds that local opposition to data centers skyrocketed in the second quarter of this year.
https://www.wired.com/story/the-data-center-resistance-has-arrived/
The new report was released by Data Center Watch, a project run by AI security company 10a Labs that tracks community opposition to data centers across the country.
https://www.datacenterwatch.org/report
Rural Michigan fights back: How riled up residents are challenging Big Tech data centers
https://archive.ph/qsSB4#selection-69.1-69.88
MLive
Industry boosters brush aside those concerns, pointing to assurances from DTE Energy that the project’s big costs won’t increase utility bills, design choices that minimize water usage and a substantial influx in tax revenue and jobs from the more than $7 billion investment.
Some advocates and state regulators say the new demand could be a good thing. DTE projects hundreds of millions in affordability benefits for other customers, as it spreads the fixed costs of running the grid over a larger volume of sales.
Prince George's County Maryland, part of the urban center of the DC metro area seems desperate for development.
Maryland county in search of revenue lays out strategy for data centers
https://www.washingtonpost.com/dc-md-va/2025/12/02/data-centers-prince-georges-policy/
The power crunch threatening America’s AI ambitions
https://ig.ft.com/ai-power
After more than two decades of flat or anaemic growth, US power demand is now surging.
Electricity usage is projected to rise by an average of 5.7 per cent a year to 2030, based on forecasts from utility companies. Though some of this demand is due to reshoring activity and a broader shift to electrifying buildings and transport, more than half of the expected increase stems from the rapid build-out of AI data centres, according to consultancy Grid Strategies.
Even if these projections prove overstated, conservative estimates still far exceed recent trends, requiring substantial investment in grid capacity to accommodate new loads.
But boosting the US power grid is an enormous and time-consuming task due to a complex web of regulatory, financial and supply chain challenges.
Interconnection queues — backlogs of projects waiting to plug into the network — have become a major chokepoint, slowing the rollout of new power capacity and leaving data centres facing lengthy delays.
PJM, the largest grid operator in the US and home to “data centre alley” in Virginia, is under particular strain. The average time from filing an interconnection request to achieving commercial operation now exceeds eight years, according to energy think-tank RMI.
Nationally, the problem is compounded by developers approaching multiple utilities in search of the lowest price. This leads to so-called phantom data centres — duplicate proposals that further bloat queues and make it harder for utilities to prepare for future demand.
https://betterdatacenterproject.com/
https://www.brookings.edu/articles/ai-data-centers-and-water/
Florida data center would be so big it would generate own electricity
Developers have plans for a huge data center in St. Lucie County that would generate its own power.
https://archive.ph/7cdPI
Meeting power demand shouldn’t mean your electrical bill skyrockets
https://www.washingtonpost.com/opinions/2026/06/30/utilities-can-meet-power-demand-data-centers-without-raising-rates/
Why Do Data Centers Use So Much Fresh Water?
https://www.bloomberg.com/news/articles/2026-08-05/why-do-ai-data-centers-use-so-much-water
https://www.bloomberg.com/graphics/2025-ai-impacts-data-centers-water-data/
https://www.bloomberg.com/graphics/2025-ai-impacts-data-centers-water-data/
How to Cut AI’s Appetite for Electricity and Water
https://www.wsj.com/science/environment/ai-electricity-water-environmental-impact-59520a43
Annual U.S. electricity use by data centers of all types will rise from 3% to 4% of the nation’s total today to between 11% and 12% in 2030, with AI being the main driver, according to projections from consulting firm McKinsey.
Meantime, AI’s demand for water globally in 2027 could account for more than the total annual amount withdrawn for use in Denmark or half of that in the U.K., according to researchers at the University of California, Riverside and University of Texas at Arlington.
One way of addressing power consumption is to make chips less power hungry. Nvidia, the largest maker of AI processors, says its newest ones, called Blackwell, will be about 25 times as energy efficient as its previous high-end version. Meanwhile, Amazon, Google, Meta and Microsoft are designing their own processing chips, in part to cut costs but also to make them use less power.
Equipment used to cool data centers creates another issue: where to get the vast amount of water these systems consume. Google says its data centers globally used about 6.1 billion gallons of water in 2023, equivalent to the water used to irrigate and maintain 40 golf courses in the Southwest each year.
OpenAI’s GPT-3 model, meantime, consumes the equivalent of a 16.9-ounce bottle of water for every 10 to 50 responses it provides to users’ queries, according to the researchers at UC Riverside and UT Arlington.
That has sent AI companies searching for other sources, including rainwater, treated wastewater or water left over from factory processes.
Amazon, for example, uses recycled wastewater for cooling at its Santa Clara, Calif., data centers. The water comes from the city’s sewage-treatment system after it undergoes a three-step process that removes 99% of impurities.
Smarter training for AI
Some researchers have experimented with carefully controlling what kind and how much information an AI model takes in during training. Usually, training a so-called large language model AI, such as OpenAI’s ChatGPT and Microsoft’s Copilot, involves ingesting hundreds of billions of words from the internet and elsewhere, then learning the relationships among them.
And that is energy and water intensive. Training an AI model called BLOOM over a 3½-month period consumed enough electricity to power the average U.S. home for 41 years, according to a Stanford University report.
As for water, training one of Google’s AI models, known as LaMDA, used about two million liters of it, both to produce the electricity used and keep the computers cool—enough to fill about 5,000 bathtubs, according to Shaolei Ren, a professor of electrical and computer engineering at the University of California, Riverside. Google declined to comment on the research, but said it is “committed to climate-conscious cooling of our data centers.”
Researchers at several universities have found that capping the amount of electricity used by AI computers has only a minor effect on the outcome, such as slightly more processing time.
Meantime, a team at the University of Michigan, University of Washington and University of California, San Diego devised an algorithm to modulate the use of power during training. The technique could cut power use by up to 30%, they say.
Using greener power
Academics and others have come up with other proposals to minimize AI’s environmental impact by tapping into green energy. For instance, companies might build more data centers in countries with abundant, low-emission power, such as hydropower in Norway or geothermal in Iceland. Or companies might do AI calculations at different locations at different times of the day, such as deploying computer centers with high use of solar power during the daytime or wind-powered ones when wind is more reliable at night.
Chilling the computers
Data-center computers put out tremendous amounts of heat, and their temperature must be kept in a certain range, often 64 to 72 degrees, to prevent damaging the electronics. Traditionally, this has been done by high-power air conditioning. But air conditioning uses up to 40% of all the electricity consumed by a typical data center, while devices called cooling towers that expel the heat to the outside air use a lot of water.
In response, the data-center industry is moving to liquid cooling, which circulates a special liquid or cold water to “cold plates” that sit on top of the processor chips and keep them at a safe and efficient temperature range. The system, called direct-to-chip liquid cooling, uses less power than the traditional method—about 30% less, Nvidia says—because liquid is vastly better at removing heat from the electronics than blowing cold air over them.
Another method under development, called immersion cooling, involves placing the computers themselves inside big tanks of cooling liquid. While showing early promise, there are environmental concerns about the chemicals often used in the setup, says Mark Russinovich, chief technology officer of Microsoft’s Azure cloud-computing unit.
https://www.ft.com/content/744c448c-858e-4398-85dc-a66cecd02abb?syn-25a6b1a6=1
Trump says data centre critics ‘want to end up backwards and poor’
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https://www.ft.com/content/744c448c-858e-4398-85dc-a66cecd02abb?syn-25a6b1a6=1
“The only reason that communities throughout the U.S.A. should not want Data Centers is if they want to end up being backwards and poor,” Trump wrote on his Truth Social platform. “If they want to be successful and rich, with far lower taxes and jobs all over the place, let Data Reign.”
Trump’s comments mark his most explicit intervention in support of the nationwide AI infrastructure building boom, which has provoked a furious backlash from voters, including many Republicans.
Dozens of data centre projects across the US worth roughly $150bn in investment have been stalled or cancelled due to local opposition. Republicans and Democrats have rushed to announce measures to pause, audit or ban further developments.
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https://www.ft.com/content/744c448c-858e-4398-85dc-a66cecd02abb?syn-25a6b1a6=1
On his way to Michigan, Vance told reporters he thought “probably 99 per cent of the backlash to data centres” was due to higher energy prices in surrounding areas. He said if developers addressed these issues, “I don’t think the data centres are that controversial.”
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https://www.ft.com/content/744c448c-858e-4398-85dc-a66cecd02abb?syn-25a6b1a6=1
Separately on Monday, an advocacy group linked to tech and AI billionaires said it was launching a “multi-million-dollar public engagement campaign” to build support for data centres by highlighting their economic benefits, starting with an ad blitz in Kansas, Ohio and Wisconsin.
The group is associated with Leading the Future, a Super Pac that has raised more than $75mn from Silicon Valley billionaires, including venture capitalists Marc Andreessen and Ben Horowitz and OpenAI co-founder Greg Brockman.
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