
Sprouting Gear Inc. Founder Paul Pluss Announces Report on:
'The Unintended Consequences of the AI Race on the Livestock Industry'
RAMONA, Calif., June 07, 2025 (GLOBE NEWSWIRE) -- The U.S. livestock industry, already grappling with rising feed costs and shrinking herd sizes, now faces a fast-approaching and under-recognized threat: the massive expansion of artificial intelligence (AI) infrastructure—especially data centers—and its impact on water availability, says Paul Pluss, a veteran livestock rancher and researcher focused on the intersection of agriculture, water policy, and emerging infrastructure demands.
'The water usage of data centers operated by Microsoft, Google, Meta, and Amazon remains largely unrecognized by agricultural stakeholders. Prime location for data centers is the same hot dry inland location preferred for feedlots and are often sharing the same aquifers and rivers" said Pluss.
Fueled by public and private investment in AI infrastructure, the number of U.S. data centers is expected to grow from 5,426 today to more than 8,378 within five years. Many existing facilities are also expanding. These data centers—crucial for powering AI models, cloud computing, and digital services—require enormous amounts of water to cool their servers.
Key figures:
Each data center can consume up to 5 million gallons of water per day for cooling.
Average water usage per megawatt of electricity is estimated at 6 to 7 million gallons.
U.S. data center power demand is currently 35 gigawatts and rising.
Annual electricity usage by data centers is expected to nearly triple, from 224 terawatt-hours today to 606 terawatt-hours within five years.
Based on current and projected growth, total water use by U.S. data centers could exceed 15 trillion gallons annually—equivalent to more than 46 million acre-feet of water per year (calculated on the well-documented 5M gallons/day per center, prior to new expansions).
This level of water consumption rivals agricultural water use in major farming states and could soon surpass the entire livestock industry's combined water footprint, including feed crop irrigation, drinking water, and processing needs.
View the report here, as well as a articles and short videos to explain hydroponic livestock feeding and the economics behind it:
https://sproutinggear.com/resources/
The Carbon Footprint of Livestock
'Can We REALLY Slash Livestock Environmental Damage by 90 Percent?'
Our Country's Water Crisis: Why Aquifers Are a Bigger Problem Than the Colorado River
'Our Country's Water Crisis'
From 2 Pounds of Seed to 19 Pounds of Feed
Paul PlussCEO & Founderpaul@sproutinggear.comhttps://sproutinggear.comSign in to access your portfolio

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles

Business Insider
24 minutes ago
- Business Insider
AI leaders have a new term for the fact that their models are not always so intelligent
As academics, independent developers, and the biggest tech companies in the world drive us closer to artificial general intelligence — a still hypothetical form of intelligence that matches human capabilities — they've hit some roadblocks. Many emerging models are prone to hallucinating, misinformation, and simple errors. Google CEO Sundar Pichai referred to this phase of AI as AJI, or "artificial jagged intelligence," on a recent episode of Lex Fridman's podcast. "I don't know who used it first, maybe Karpathy did," Pichai said, referring to deep learning and computer vision specialist Andrej Karpathy, who cofounded OpenAI before leaving last year. AJI is a bit of a metaphor for the trajectory of AI development — jagged, marked at once by sparks of genius and basic mistakes. In a 2024 X post titled "Jagged Intelligence," Karpathy described the term as a "word I came up with to describe the (strange, unintuitive) fact that state of the art LLMs can both perform extremely impressive tasks (e.g. solve complex math problems) while simultaneously struggle with some very dumb problems." He then posted examples of state of the art large language models failing to understand that 9.9 is bigger than 9.11, making "non-sensical decisions" in a game of tic-tac-toe, and struggling to count. The issue is that unlike humans, "where a lot of knowledge and problem-solving capabilities are all highly correlated and improve linearly all together, from birth to adulthood," the jagged edges of AI are not always clear or predictable, Karpathy said. Pichai echoed the idea. "You see what they can do and then you can trivially find they make numerical errors or counting R's in strawberry or something, which seems to trip up most models," Pichai said. "I feel like we are in the AJI phase where dramatic progress, some things don't work well, but overall, you're seeing lots of progress." In 2010, when Google DeepMind launched, its team would talk about a 20-year timeline for AGI, Pichai said. Google subsequently acquired DeepMind in 2014. Pichai thinks it'll take a little longer than that, but by 2030, "I would stress it doesn't matter what that definition is because you will have mind-blowing progress on many dimensions." By then the world will also need a clear system for labeling AI-generated content to "distinguish reality," he said. "Progress" is a vague term, but Pichai has spoken at length about the benefits we'll see from AI development. At the UN's Summit of the Future in September 2024, he outlined four specific ways that AI would advance humanity — improving access to knowledge in native languages, accelerating scientific discovery, mitigating climate disaster, and contributing to economic progress.
Yahoo
3 hours ago
- Yahoo
Scammers targeting NYC parking meters: How to protect your money
The Brief Scammers are placing fraudulent QR code stickers on NYC parking meters, leading drivers to phishing websites to steal payment information. The Department of Transportation acted swiftly by notifying users, inspecting meters, and working with Microsoft to remove the phishing site. Cybersecurity expert Robert Siciliano advises using official apps for parking payments and monitoring credit card statements, while reporting any suspicious QR codes. NEW YORK - Drivers beware! Scammers are targeting New York City parking meters by placing fraudulent QR code stickers on machines, directing drivers to third-party websites to steal payment information. What we know The Department of Transportation warns that scanning these QR codes leads to a phishing site where users are asked for payment details, which are then stolen by scammers. At least one fake sticker was found on a meter, prompting immediate action from the agency, including notifications to users, inspections of all meters, and collaboration with Microsoft to remove the phishing site. What they're saying Cybersecurity expert Robert Siciliano advises vigilance, noting that lone QR codes are often fraudulent. "A lone QR code that is plastered on is usually going to be fraud," he said. "Most municipalities and cities know at this point that there are three to five different apps that consumers might use to log in to pay for their parking, and as long as you have that app on your phone, generally you should be good." He also emphasizes monitoring credit card statements for unauthorized charges. "The problem with this particular crime is if you are not paying attention to your credit card statements in real time and pay the bill, you are responsible for that fraud," he said. What you can do The official way to pay for metered parking in the city is through the ParkNYC app or by inserting a credit card directly into the meter. Reporting any suspicious QR codes is crucial. The Source This article uses information from the New York City DOT and cybersecurity expert Robert Siciliano.
Yahoo
4 hours ago
- Yahoo
Why Smart People Make Dumb Money Decisions, According to Humphrey Yang
According to the TIAA Institute-GFLEC Personal Finance Index, about half of American adults lack financial literacy, and even more fall short when it comes to decisions regarding risk. According to financial YouTuber Humphrey Yang, being smart can put you at a greater risk of making poor choices. Read More: Find Out: In a recent YouTube video, Yang covered three biases that often trap smart people into making money decisions that leave them poor. But even if you consider yourself intelligent and financially literate, that doesn't guarantee you'll do the best things with your money. Here are the signs to watch out for if you're making dumb money decisions, and tips to avoid falling for them. Authority bias is when you believe what a person — like a CEO, celebrity or financial advisor — says because of their high influence or position. This can get you in trouble since their advice might be completely wrong or not based on the reality of your situation. Yang gave the example of quantum computing stock prices. In December 2024, a Google Willow announcement led many investors to buy these stocks, which boosted their prices. But in January 2025, Nvidia's CEO said the tech had many years to go, and stock prices fell a lot. 'The truth is that many people probably didn't do any due diligence when it came to these stocks, and they probably bought them on a speculative future after the Willow announcement, and then they sold them on a whim after a negative comment,' Yang said. To protect yourself from this bias, don't rely solely on what a single person says to do with your money. Yang said you should also forget whatever is special about that person to improve your objectivity, see what other people say differently about the topic, and trust your instincts. Discover More: If you often look only for information that aligns with your beliefs about money and brush off anything that says differently, you've fallen for confirmation bias. Besides leading to bad money moves, this bias can make you an easier person to scam, according to the Ohio Attorney General. Yang explained, 'It's especially dangerous for those that are super logical because if you're a super methodical thinker, you can actually build a logical sounding argument to defend your pre-existing opinion.' He gave an example of how this can play out with tech stocks. If you favor those stocks, you might watch for positive news reports, listen to influencers who are fans of tech, and focus on friends who profited big. You might not consider any bad earnings projections or the investors who went broke. According to Yang, asking 'why' several times helps avoid bad decisions due to confirmation bias. This lets you dig into your motivation and reasoning for making the money move. He also suggested writing down the decisions you make so you can later look back on why you did certain things and what you expected. 'This is arguably the most dangerous cognitive bias for smart people, and that's basically when people overestimate their knowledge, abilities and their predictions,' said Yang. Overconfidence bias can cause you to not consider risks since you mistakenly think you have an advantage with money over other people, and that could even be due to expertise in an unrelated area. Yang explained that this mistake played a role in various financial crises over the last few decades. Being overconfident might also lead you to not diversify your money enough and risk major losses. Yang gave examples of copying Warren Buffett's portfolio with limited investment choices or investing substantially in your own employer's stock due to familiarity. To avoid letting overconfidence damage your finances, consider that some successes might have come from pure luck rather than a wise choice you made. Yang said you should also regularly compare your predictions to reality and stick to simple investing strategies, like using index funds instead of betting on the next big individual stock. More From GOBankingRates 3 Luxury SUVs That Will Have Massive Price Drops in Summer 2025 These Cars May Seem Expensive, but They Rarely Need Repairs Clever Ways To Save Money That Actually Work in 2025 This article originally appeared on Why Smart People Make Dumb Money Decisions, According to Humphrey Yang