Data Centers Are ALREADY OBSOLETE & Here's Why! w/ Hakeem Anwar
YouTube · gy1TQ1a9p3c
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Summary
Takeaways
- ❖Six major companies spent $2.5 trillion on data center projects in 2025, leading to 384 hyperscale centers already built.
- ❖AI chips generate heat comparable to the sun's surface, requiring massive water-cooling systems that evaporate millions of gallons daily.
- ❖Google's transparency reports on water usage are incomplete, lacking specific metering data for most data centers.
- ❖China's data center boom saw 80% of facilities sitting empty, indicating a potential overbuild and market failure in the U.S.
- ❖The Above Phone and Above Book Quantum series offer privacy-first, open-source alternatives to big tech devices, preventing data harvesting.
- ❖Nvidia's Jetson Orin Nano, a $249 device, can perform 70 trillion AI operations per second locally, drastically reducing the need for cloud AI subscriptions.
- ❖Theories for continued data center expansion despite obsolescence include corporate incompetence/greed, AI cyber warfare, programmable economic warfare (controlling power/water), and building a surveillance state.
- ❖Some U.S. states, like Texas and Indiana, have 'absolute dominion' laws allowing unlimited water extraction from aquifers, exacerbating water stress for data centers.
Insights
1Massive Resource Consumption by AI Data Centers
Hyperscale AI data centers are consuming an unprecedented amount of power and water. Currently, 384 such centers use 10% of the total U.S. power demand. With another 300 planned, AI power usage is projected to quadruple, reaching 40% of the U.S. power supply. These centers require vast quantities of water for cooling due to the extreme heat generated by AI chips, which can reach temperatures comparable to the sun's surface.
Hakeem Anwar states that 384 hyperscalers use about 10% of total US power demand and that another 300 data centers are planned, which will quadruple AI power use to 40% of the US power supply. He explains that AI chips like the Nvidia Blackwell have 200 billion transistors and perform trillions of calculations per second, generating heat comparable to the surface of the sun, necessitating water cooling systems that evaporate water through cooling towers.
2Technological Obsolescence and Emerging Local AI
Despite the massive investment in AI data centers, new technologies are emerging that allow powerful AI processing on local devices, rendering large-scale data centers largely obsolete for many applications. Devices like Nvidia's Jetson Orin Nano can perform 70 trillion AI operations per second locally for minimal electricity cost, replacing expensive cloud subscriptions and eliminating the need for data to leave a user's home.
Hakeem Anwar highlights the Nvidia Jetson Orin Nano, a $249 device that runs at 25 watts, performs 70 trillion AI operations per second, and can run large language models locally, costing only $2 a month in electricity compared to $200 a month for cloud services. He states, 'what you're seeing right now is why data centers are largely obsolete and we're not going to need them anymore.'
3Theories Behind Continued Data Center Overbuild
The continued, massive investment in AI data centers, despite their potential obsolescence and environmental impact, suggests underlying motives beyond technological necessity. Theories include corporate incompetence and greed, a perceived 'AI cyber war' with nations like China, programmable economic warfare through control over power and water resources, and the establishment of a pervasive surveillance state capable of real-time monitoring.
Anwar presents four theories: (1) incompetence/greed, citing China's 80% empty data centers; (2) AI cyber war, with figures like Kevin O'Leary and the US National Institute of Standards and Technology posturing against China; (3) programmable economic warfare, where data centers can 'programmably' pull power and water during heatwaves, causing outages and increasing utility profits; and (4) the surveillance state, enabling monitoring of internet traffic and millions of cameras.
4Privacy-First Alternatives to Big Tech
To counter the data harvesting and surveillance facilitated by big tech, privacy-first devices and open-source software offer a path to digital independence. Products like the Above Phone and Above Book Quantum series are designed to cut off tracking layers, avoid embedded AI that hoovers user data, and provide alternatives to mainstream apps without third-party trackers or ads.
Anwar describes the Above Phone as a 'de-Googled' phone that removes reliance on Google and Apple services, uses alternative open-source apps without third-party trackers, and offers encrypted messaging and private search. He states these devices 'cut them off from their data, there's really no point to having a data center.' He also demonstrates a laptop running an AI model locally, not connected to the internet.
Bottom Line
The current AI data center boom mirrors China's 2023-2024 experience, where 80% of new data centers are now sitting empty, suggesting a massive overinvestment and potential market collapse in the U.S.
This indicates a significant misallocation of capital and resources, driven by hype rather than genuine need, which could lead to substantial financial losses and stranded assets for investors and developers in the U.S.
Investors should exercise extreme caution with data center projects, and communities should push for transparency and accountability regarding resource consumption, especially given the rapid obsolescence of centralized AI processing.
The 'absolute dominion' water laws in states like Texas and Indiana allow data centers to pump unlimited water from aquifers without legal consequence, exacerbating severe water stress in already vulnerable regions.
This legal loophole enables unsustainable practices that deplete vital natural resources, threatening local communities' water security and environmental stability for the benefit of private corporations.
Activists and policymakers can target these specific state laws to introduce regulations on corporate water usage, advocating for 'reasonable use' doctrines or public ownership of water resources to protect communities and ecosystems.
Lessons
- Replace big tech devices: Consider switching to privacy-first phones and laptops like the Above Phone or Above Book Quantum series to prevent data harvesting and surveillance.
- Utilize open-source alternatives: Actively seek out and use open-source applications and services that do not embed third-party trackers or rely on centralized data centers for basic functions.
- Support local AI processing: Investigate and adopt local AI devices (e.g., Nvidia Jetson Orin Nano) to run AI models on your own hardware, reducing reliance on cloud services and their associated data and power demands.
Quotes
"These AI chips each of them are performing a trillion trillion calculations per second. Uh these things get so hot at full load it's comparable to the surface of the sun."
"In China, 600 million people are already using AI, right? More people uh more people use AI in China than use the internet in the United States. and they do it through local AI services, right?"
"I think the data centers are there to have us under 24/7 surveillance uh to be able to do predictive crime uh stuff."
"Someone who has chosen ignorance, someone who still still wears a mask at a concert, someone who's still getting a booster... those beliefs that they have are loadbearing. Meaning meaning if you take them away, their whole self-image will collapse."
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