Business
Tallying the True Costs of AI
A blank rectangle of a building sits next to a highway, facing an endless Wyoming prairie. It’s painted the greenish-grayish-brown that Disneyland imagineers use on stuff they don’t want people to notice. But the nine semitrailer-size green boxes nestling like nursing puppies into the building’s long sides are a giveaway. They’re giant heat exchangers meant to chill the stacks of black, pizza-box-shaped computers inside, squeezing electrons through silicon to make everything from streaming video to cryptocurrency.
This data center is one of several in Cheyenne. These buzzing hives of circuitry run the modern digital economy — and manage the unprecedented quantities of data and computation necessary for artificial intelligence.
Tech companies are racing to dominate a speculative future built on AI. Together, Amazon, Microsoft, Meta, and Google’s parent, Alphabet, have said they’ll spend at least $320 billion this year alone on facilities and equipment, overwhelmingly for AI.
Over several months, a team of Business Insider reporters and editors has delved deep into this nationwide infrastructure project. To create a comprehensive national list of data centers, we looked at the mass of permits to build these facilities. We learned how much water and electricity these places use, or are expected to, and the consequences for people’s everyday lives.
Business Insider identified 1,240 data centers in America already built or approved for construction at the end of last year — the most comprehensive tally to date. That’s nearly four times the number in 2010. Hundreds of those are the “hyperscalers” spinning up largely to power AI, the physical instantiation of a vast bet on a multitrillion-dollar reimagining of the global economy.
Tech companies envision a world where AI algorithms can replace doctors, make uncannily accurate disaster predictions, come up with universe-altering theories, act as personal assistants, teach our kids, or provide, ahem, companionship.
“You have to have the ability to create, right?” says Cortney Thompson, chief information officer and cofounder of Lunavi, which owns the Cheyenne data center. “Whether that’s on somebody else’s platform, whether it’s your own infrastructure, you have to have those resources available to create and innovate.”
That’s the possible upside. Business Insider’s analysis exposes the downsides — the costs we’re paying now.
We found that four out of 10 US data centers are (or are set to be) in places seriously short of water, and some of those facilities are permitted to guzzle millions of gallons a day.
Collectively, Business Insider estimates, US data centers could soon consume more electricity than what Poland, with a population of 36.6 million, used in 2023. Federal estimates expect that to as much as triple over the next three years.
The power plants that fuel that need will emit enough pollution to cause between $5.7 billion and $9.2 billion a year in public health costs, according to Business Insider estimates.
Taxpayers are subsidizing much of this boom, as local governments vie for projects they hope will refashion their towns into high-tech hubs with high-paying jobs. Business Insider found that many cities in places like central Ohio are giving sweeping tax breaks to tech giants that over years amount to $1 million or more for each long-term job.
Industry representatives say they’re working to reduce or offset the drawbacks — investing billions of dollars a year in green energy infrastructure, paying to restore water sources, and building more efficient tech. They point out that they’re responding to demand from consumers and corporations for a technology that could transform not just apps or devices but society itself. They believe the resource investment will be worthwhile.
Either way, the bills are coming due.
Secret costs
Virginia today is full of data centers — 329 of them, handling as much as a third of the planet’s internet traffic and consuming almost a fourth of the state’s electricity in 2023. There, and throughout the US, their construction is regulated by counties and regional utilities. Since regulating American land use is typically a local matter, data center construction usually gets brokered between the private-jet-flying, expensive-suit-wearing representatives of transnational technology oligopolies and, like, Dave from the local planning commission.
As an indirect consequence of that lopsided relationship, the amount of electricity and water those data centers use has been, effectively, secret — until now.
Greg Kahn for BI
Data centers draw power from the local utility grid. But they have to run 24/7, so if that power goes out, they rely on backup generators that burn diesel fuel or natural gas. To run them, data center owners must get permits, which require an accurate accounting of their emissions. That output maps to the data center’s power needs. By obtaining 1,240 permits from across the US, Business Insider calculated the potential near-term ecological footprint of every US data center owner, based on our estimate of how much electricity data centers typically use relative to the capacity of their backup systems. (See here for more on Business Insider’s methodology.)
Amazon tops the list. Business Insider’s estimate indicates that if it builds all the data centers it has planned, it would use 30 to 48 terawatt-hours a year. At the midpoint, that would be around the same amount of electricity the state of Nevada used in 2023.
An Amazon spokesperson said Business Insider’s methodology for estimating consumption “oversimplifies complex data center operations and is based on assumptions that do not account for important differences in how companies build and operate data centers.”
Google and Meta did not respond to Business Insider’s queries about data center power use estimates, and QTS declined to comment. A Microsoft spokesperson acknowledged that its data centers “do not always run at 100% of their installed capacity.”
The federal government estimates that demand for electricity will rise more this decade than it has since the 1980s; some calculations say data centers account for as much as 44% of that growth. Meeting that new demand will mean keeping older, dirtier generation capacity online — climate crisis and carbon commitments be damned.
Water is the most effective way to cool down the hotter, more closely packed graphics processing units that AI relies on. And that water often has to be fresh. Data centers are finicky drinkers.
In 2018, before the AI boom, US data centers consumed 34 billion gallons a year — just about what the state of California uses every day. Just seven years later, the US has doubled its data center capacity.
Now, here is where you’d expect a story like this to tell you how much water any data center of a given size uses. That’s almost impossible. Just half of all data center operators track their water use, and it’s wildly variable depending on size and technology.
Greg Kahn for BI
Thanks to the air permits Business Insider examined, we can at least tell you where those data centers are. That’s important because, given their needs, you might think that companies would site them near ready supplies of fresh water. They often don’t.
In fact, 40% of the data centers in the US are (or are set to be) in places marked by the World Resources Institute — a sustainability advocacy group — as having high or extremely high water scarcity. That includes multiple parts of the arid American Southwest — like Arizona’s Maricopa County, an “extremely water-stressed area” with 48 data centers.
Data center builders know all this, and they take water seriously. The biggest water users have pledged to do better — to be water-neutral in coming years, to pay other users to use less, or to fund water conservation projects as offsets. And they point out that just because they have permission to use millions of gallons of water a day doesn’t mean they will — and where water is scarce, they tend to favor air-cooling tech instead.
Of course, air cooling needs power. And however much they draw, data centers’ power needs are big enough that they tend to raise local electricity bills for everyone, Business Insider found — whether homes or Walmarts.
Their punishingly noisy cooling fans run all day and all night, making it tough for some who live near data centers. Every drop of water that goes to a data center could’ve gone to a home, or a different industrial or agriculture use — and outflows from the cooling systems risk polluting local waterways.
A future reckoning
Technological improvements could obviate this someday. More efficient heat exchangers could solve the cooling problem. A more flexible power grid or AI that uses far less energy might solve the power problem.
Jesse Rieser for BI
Though some utilities are bringing new fossil-fuel plants online, renewable solutions are emerging — a few miles from the data center in Cheyenne, a massive solar farm is rising alongside hundreds of already-spinning wind turbines.
We can marvel at new applications like real-time language translation or more accurate cancer diagnoses. We can scoff at the latest chatbot hallucination — or worry about policy or military decisions made not in the White House or the Pentagon but in data centers guided by algorithms few understand. All this happens while water aquifers drain and electricity bills climb.
A handful of transnational corporations are offering this proposition: They will usher in an age of technological wonder in return for the opportunity to make a tremendous amount of money. State after state is giving them more money, and reorienting entire regulatory structures, to let them do it. If the AI revolution delivers, perhaps the ledger eventually balances. If not, we’ll be left with the receipts for a future that never arrived.
Business
Trump threatens extra 10% tariff on nations that side with Brics
US President Donald Trump says countries that side with the polices of the Brics alliance that go against US interests will be hit with an extra 10% tariff.
“Any country aligning themselves with the Anti-American policies of BRICS, will be charged an ADDITIONAL 10% tariff. There will be no exceptions to this policy,” Trump posted on his Truth Social platform on Sunday.
His comments came after Brics members criticised his tariff policies as well as proposing reforms to the International Monetary Fund (IMF) and how major currencies are valued.
Trump has long criticised Brics – an alliance designed to boost member nations’ standing on the international stage to challenge the US and Western Europe.
Last year, the list of Brics members expanded beyond Brazil, Russia, India, China and South Africa to include Egypt, Ethiopia, Indonesia, Iran, Saudi Arabia and the United Arab Emirates (UAE).
The bloc is said to represent more than half of the world’s population.
Brics leaders, who started a meeting in Rio de Janeiro, Brazil this weekend, have called for reforms to global institutions and positioned the alliance as a platform for diplomacy amid escalating trade conflicts and geopolitical tensions.
Business
Exabeam Nova Launches AI Strategy Agent to Empower CISOs with Business Insights
Exabeam, a global leader in intelligence and automation for security operations, announced a major expansion of its integrated multi-agent AI system Exabeam Nova that now equips security leaders with a real-time strategic planning engine and boardroom communication tool.
The Exabeam Nova Advisor Agent is the industry’s first AI capability designed to turn security data into a strategy that CISOs can defend in the boardroom. Translating complex security metrics into business-relevant terms has been a long-standing challenge, making it difficult to demonstrate risk reduction, prove the value of security investments, and show measurable progress. The new Exabeam Nova Advisor Agent solves that problem.
Exabeam Nova is now the only agentic AI that empowers security leaders to:
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Build Strategic Plans: Automatically generate data-backed roadmaps using daily posture assessments, MITRE ATT&CK coverage, and organizational security data. -
Communicate with the Executive Team and Board: Generate boardroom-ready summaries that reframe technical metrics into business outcomes, enabling leadership to understand progress, support investment decisions, and evaluate ROI. -
Identify and Prioritize Gaps: Uncover issues like missing log sources, misconfigurations, and ineffective threat detection content that weakens security posture. -
Run What-If Analysis: Simulate adjustments or additions to security tooling and detection capabilities to evaluate how proposed actions close gaps and improve security posture. -
Track and Improve Maturity: Benchmark security posture daily, monitor measurable improvements, and align security operations with long-term organizational goals.
With the addition of the Exabeam Nova Advisor Agent, Exabeam Nova now includes six agents purpose-built to automate decisions, streamline investigations, and deliver continuous benchmarking of program effectiveness with clear, prioritized recommendations to drive improvement. Embedded into the foundation of the New-Scale Security Operations Platform, Exabeam Nova is deeply integrated into the complete threat detection, investigation and response (TDIR) workflow. Unlike vendors that bolt AI onto outdated infrastructure, Exabeam Nova was developed from the ground up as a coordinated system of agents, each aligned to a real-world SOC function to increase productivity and efficiency.
Delivering Meaningful Value for Customers
Within 90 days of launch, Exabeam Nova users report five-times faster investigations with improved accuracy. Users overwhelmingly cite the ability to work smarter and prove the business impact of their security programs as Exabeam Nova’s greatest value.
Steve Wilson, Chief AI and Product Officer at Exabeam
AI in cybersecurity has been mostly about analyzing and responding to alerts, but that’s not enough anymore. Exabeam Nova has expanded to become something larger. It’s the first and only AI system that includes an agent built for the CISO. Exabeam Nova doesn’t just tell security leaders where they stand, it diagnoses where they’re at-risk, maps a plan to improve, and arms leaders with the facts to explain decisions to their executive team and board
Chris O’Malley, CEO of Exabeam
We’re more focused than ever on delivering intelligent, outcomes-driven security solutions that scale with today’s threats, and anticipate tomorrow’s. Security teams are woefully underfunded and asked to do more with less, yet threats continue to multiply. Exabeam Nova is creating a historic shift in how SOCs operate — moving from reactive alert chasing to strategic process optimization. What we’re hearing from customers is clear: they trust Exabeam Nova. It’s accurate, reliable, and delivers the real, measurable outcomes they’ve been waiting for
Joep Kremer, Business Unit Director Cyber Security at ilionx
What really sets Exabeam Nova apart is how seamlessly the AI agents work together. From the moment an alert comes in, the case investigator builds a summary, the assistant helps us dig deeper, and the advisor shows how it all ties back to our overall posture. We can search in plain language, visualize trends instantly, and act on clear, prioritized insights — all in one platform. It’s like having a full team of experts working behind the scenes to keep us fast, focused, and aligned. Exabeam Nova isn’t just smart it is a game-changer for our SOC
David Andrews, Information Security Officer at Extreme Networks
We have been very happy with Exabeam’s openness to feature feedback, the quick release rates of new features and the overall usefulness and quality of those features. The new SIEM Security Coverage Analysis Report from the Exabeam Nova Advisor Agent, for example, has allowed us to identify strengths, weaknesses and gaps in our alerting while also providing recommendations on making better use of our log sources
Head of Security at a Finance Firm
What sets Exabeam apart is their ability to truly listen to customer needs and move fast to deliver solutions that solve our challenges. Their level of technical expertise and responsiveness is hard to find in this industry. They are building and delivering a roadmap that reflects what security teams actually need to be successful today. Everything about the New-Scale Platform enables us to take action. While other tools get stuck in investigation, Exabeam empowers us to move quickly and make decisions confidently. That’s exactly why I chose Exabeam and why I continue to work with them. They don’t just promise innovation — they deliver it, quickly, and with purpose
Business
HP Elitebook Ultra G1 – an ai laptop for executives
Article – Bill Bennett
HP EliteBook Ultra G1. HPs EliteBook Ultra G1 is a business-class AI Windows laptop with a solid build and strong security. It costs considerably more than a consumer notebook. That makes it great if your employer buys you onebut its …
HP’s EliteBook Ultra G1 is a business-class AI Windows laptop with a solid build and strong security. It costs considerably more than a consumer notebook. That makes it great if your employer buys you one—but it’s unlikely you’d spend your own money on this.
Smart, corporate design
From the outside, the EliteBook Ultra G1 looks exactly how you’d expect a corporate laptop to look. It has a matte magnesium case with rounded corners and smart, clean lines.
Weighing 1.2kg and about 18mm thick, the computer is light and thin, yet robust enough for the rough and tumble of modern executive work.
There’s a clear sense this is a premium laptop.
Screen
The touchscreen can lie flat, letting it act like a clumsy tablet on a desktop.
HP uses a 2880×1800 OLED display with a variable refresh rate. You get 400 nits of brightness, which is enough for most users and applications.
I’m used to brighter displays and found myself repeatedly trying to crank the brightness higher than this laptop allows. That’s not everyone’s preference.
Built-in laptop speakers are often disappointing. Not here. HP’s quad-speaker design performs as well as any on a device this thin.
Zoom and other voice-based apps sound crystal clear. Every business app that uses sound will benefit, though it’s never going to be the best way to enjoy music.
Typing and ports
Premium laptops—well, HP’s top models and everything from Apple—have mastered keyboards and touchpads in recent years. The Ultra G1 keyboard is excellent with a great response. Another plus is the touchpad’s haptic feedback. It’s a nice touch.
There’s nothing minimalist about the ports. On the left: an audio jack and an old-school USB Type A port under a pull-down cover. Next to that is a USB-C with an LED that lights up when charging.
On the right: two more USB-C ports—only one with an LED—and a lock slot to secure the laptop to a desk. Like Apple, HP has dropped microSD.
Up-to-date connectivity
HP is bang up to date with connectivity. The EliteBook Ultra G1 supports WiFi 7. I couldn’t test this—I’m still on WiFi 6—but it should eliminate bottlenecks between you and the internet.
You might hope an upscale business AI laptop would be a mighty processing powerhouse. Surprisingly, the Ultra G1 falls short.
It packs an Intel Lunar Lake CPU and 32 GB of ram, which sounds fast, but could be faster in practice. At this price, you might expect more. My MacBook Air, at less than half the cost runs many apps faster. One important observation: I couldn’t get the fan to kick in. Nothing I ran was demanding enough.
Battery life
Battery life is respectable. I easily got 14 hours streaming video. There’s enough to get you from Auckland to Europe, though if you own an Ultra G1, it’s unlikely you’ll be in the cheap seats with limited charger access.
PC makers now act like they can’t sell upmarket laptops without AI. I’m not sure that’s true, but I feel like a lonely voice in the wilderness.
That said, many corporations are sold on the idea and will look for AI when buying.
That’s where the Ultra G1 gets interesting. It’s not a fully-fledged AI PC. It lacks a GPU and the Intel Lunar Lake processor isn’t optimised for AI. That leaves it behind devices built for AI from the ground up.
Think of it as a solid business laptop with a couple of AI extras.
HP AI Companion and Copilot
First is HP’s AI Companion, a preinstalled HP-branded version of GPT-4. HP says this helps you get more from the laptop’s neural processing unit.
You need an internet connection to use AI Companion. Oddly, it doesn’t do much you can’t already do with regular GPT-4. The main difference: it can answer HP product questions and adjust some settings.
If that doesn’t appeal, there’s also a Copilot button to launch Microsoft’s AI. It’s not a drawcard. Not the focus of this review, but in my experience, Copilot is the least useful mainstream chatbot. Its inaccuracy is embarrassing.
Wolf Security stands out
With so-so AI and average performance, something else needs to lift the Ultra G1 above rivals. That’s HP Wolf Security for Business—a preloaded suite adding extra protection beyond standard malware tools.
Strong laptop security can get in your way. You’ll notice it the moment you try installing software. Wolf pops up to say an app isn’t on its approved list.
This is a bit like Microsoft’s User Access Control or Apple’s System Integrity Protection, but here there’s no control panel override.
Wolf also includes anti-phishing protection, BIOS tamper prevention, and tools to harden Windows and boost resilience. There are features for IT departments to manage fleets of laptops.
Most of this won’t matter if you’re using a single computer at home or in a small business. But IT managers will appreciate how HP helps lock down potentially vulnerable systems.
Verdict: HP EliteBook Ultra G1
The EliteBook Ultra G1 sits firmly at the premium end of the market. Wolf Security is all about corporate computing. These go some way to justifying the NZ$5040 list price.
Everything about it is premium—except processor performance, which is fine, but not exceptional. Including 32GB of ram helps. You’ll find faster laptops at lower prices—some of them in the HP range.
You—or more likely, your company’s purchasing department—are going to buy this for corporate manageability and security, not performance. If you need those features, the price isn’t unreasonable.
Review: HP EliteBook Ultra G1 – an AI laptop for executives was first posted at billbennett.co.nz.
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