The AI & Data Center Thread

🙄

BabyBoozer is stuck in “Gaslighting Mode”:

1) Investors / companies need to recoup their ridiculous outlays in AI and data centers, so they are NOT going to do communities any REAL favors when they set up shop.

2) Talk of these companies building their own power generation projects is ridiculous, as that would put them further in the red. The same goes for water projects.

3) Communities SHOULD be highly skeptical of the promises being made by these companies. Communities have historically been left holding the bag when fly by night schemes / operations inevitably / invariably… fly by night… (And AI data centers are the mother of all fly by night schemes / operations, imho. I do NOT see how the VAST MAJORITY of these schemes / operations will pan out).

4) The hidden costs of AI data centers are also a HUGE concern, as they look to be MAJOR contributors to anthropogenic climate change (AI data centers use TEN TIMES THE ENERGY of standard data centers) right as the anthropogenic climate crisis is approaching a critical stage (the tipping point?).

5) The demand versus the supply related to AI data centers, etc, is also out of whack. The supply is currently FAR outpacing demand. Massive stocks of AI chips are currently sitting in warehouses waiting for data centers that may never be built - or data centers that will be built years from now when those AI chips are obsolete. (Of course, if the AI chips are obsolete for data centers, they can still be repurposed for autonomous hunter-killer drones, etc…).

6) Communities getting out in front of this issue seems perfectly reasonable, / sensible / pragmatic, imho - but I suspect that it is already too late for the most part: We are in another situation where A REPUBLICAN CONTROLLED FEDERAL GOVERNMENT AND REPUBLICAN CONTROLLED STATES ARE GOING TO TRASH THE ECONOMY, THE ENVIRONMENT, AND SOCIETY… AGAIN.

👎

Hope that ^ helps.

👍

👉 BabyBoozer 🤣

🇺🇸

WE. TOLD. THEM. SO.

🌷
You’re free to live in total denial of data center expansion.
 
You’re free to live in total denial of data center expansion.


🙄

BabyBoozer is stuck in “Gaslighting Mode”:

1) Investors / companies need to recoup their ridiculous outlays in AI and data centers, so they are NOT going to do communities any REAL favors when they set up shop.

2) Talk of these companies building their own power generation projects is ridiculous, as that would put them further in the red. The same goes for water projects.

3) Communities SHOULD be highly skeptical of the promises being made by these companies. Communities have historically been left holding the bag when fly by night schemes / operations inevitably / invariably… fly by night… (And AI data centers are the mother of all fly by night schemes / operations, imho. I do NOT see how the VAST MAJORITY of these schemes / operations will pan out).

4) The hidden costs of AI data centers are also a HUGE concern, as they look to be MAJOR contributors to anthropogenic climate change (AI data centers use TEN TIMES THE ENERGY of standard data centers) right as the anthropogenic climate crisis is approaching a critical stage (the tipping point?).

5) The demand versus the supply related to AI data centers, etc, is also out of whack. The supply is currently FAR outpacing demand. Massive stocks of AI chips are currently sitting in warehouses waiting for data centers that may never be built - or data centers that will be built years from now when those AI chips are obsolete. (Of course, if the AI chips are obsolete for data centers, they can still be repurposed for autonomous hunter-killer drones, etc…).

6) Communities getting out in front of this issue seems perfectly reasonable, / sensible / pragmatic, imho - but I suspect that it is already too late for the most part: We are in another situation where A REPUBLICAN CONTROLLED FEDERAL GOVERNMENT AND REPUBLICAN CONTROLLED STATES ARE GOING TO TRASH THE ECONOMY, THE ENVIRONMENT, AND SOCIETY… AGAIN.

👎

Hope that ^ helps.

👍

👉 BabyBoozer 🤣

🇺🇸

WE. TOLD. THEM. SO.

🌷
 
People who can do math generally walk away with most of the money. Selling hype is also lucrative. People who buy their own hype don't do so well.
 
This is what non-critical thinkers and drunks like babyboozer cannot possibly comprehend. It's not so much the existence of the centers; it's that we have idiots leading us.

Idiots and shameless grifters / crony capitalists (DonOld & the MAGAt republicans, etc).

👎

We. Told. Them. So.

🌷
 
All it would take is rezoning, revising the municipal General Plan, applying for a permit, securing state and federal environmental reviews and licensing, and of course the owner’s willingness to sell the property or develop the data center himself.
 
All it would take is rezoning, revising the municipal General Plan, applying for a permit, securing state and federal environmental reviews and licensing, and of course the owner’s willingness to sell the property or develop the data center himself.
Do you forget that he's a convicted felon of fraud and his billionaire cronies are the ones who would benefit the most?

GIVE THEM MOAR DATA!
 
And now realize that we don't have the capacity or resources for any of that. So when idiots like Reichguide say "we need to dominate this field", know that it will never happen.
The United States has an extraordinary concentration of data-center infrastructure. Stanford's 2026 AI Index counts 5,427 U.S. data centers, more than ten times any other country.

The Federal Reserve estimates that the U.S. possessed about 74% of global high-end AI compute, compared with approximately 14% for China and 4.8% for the EU.

https://hai.stanford.edu/ai-index/2026-ai-index-report ?utm_source=chatgpt.com

https://www.federalreserve.gov/econ...conomies-20251006.html?utm_source=chatgpt.com

It's always entertaining to lift the hood on Lit's most contradictory personality, the angry little troll calling himself DeluxAuto, especially while he reflects gloomily upon the supposed demise of American supremacy in AI. His name suggests a Cadillac; his argument, as always, suggests a Model T with a dead battery. He seems to regard America's lead in artificial intelligence much as a man in 1910 might have regarded the automobile: a passing novelty destined to be crushed beneath the inexorable superiority of the horse and buggy. Meanwhile, American engineers are building the computational equivalent of the interstate highway system; we have DeluxAuto sitting beside the road, polishing his intellectual Model T and explaining why gasoline will never catch on.
 
The United States has an extraordinary concentration of data-center infrastructure. Stanford's 2026 AI Index counts 5,427 U.S. data centers, more than ten times any other country.

The Federal Reserve estimates that the U.S. possessed about 74% of global high-end AI compute, compared with approximately 14% for China and 4.8% for the EU.

https://hai.stanford.edu/ai-index/2026-ai-index-report ?utm_source=chatgpt.com

https://www.federalreserve.gov/econ...conomies-20251006.html?utm_source=chatgpt.com

It's always entertaining to lift the hood on Lit's most contradictory personality, the angry little troll calling himself DeluxAuto, especially while he reflects gloomily upon the supposed demise of American supremacy in AI. His name suggests a Cadillac; his argument, as always, suggests a Model T with a dead battery. He seems to regard America's lead in artificial intelligence much as a man in 1910 might have regarded the automobile: a passing novelty destined to be crushed beneath the inexorable superiority of the horse and buggy. Meanwhile, American engineers are building the computational equivalent of the interstate highway system; we have DeluxAuto sitting beside the road, polishing his intellectual Model T and explaining why gasoline will never catch on.
How much AI do we use versus other countries?
 
The Teaser Period: Why the AI Boom Is Hitting a Reset Wall
We have spent the last eighteen years describing the financial crisis as a shock - a black swan, a hundred-year flood, a tail event. It was none of those things. Every reset on that chart was contractually inevitable from the moment of origination. The defaults were not primarily caused by an exogenous macro shock, a spike in unemployment, or a recession that arrived first. They were the scheduled mathematical consequence of loans that assumed perpetual appreciation. The mortgages were built to break.
The AI boom has rebuilt this exact structure, and the market is once again underwriting the teaser. It has a reset wall of its own - a schedule of dated, contractual, non-negotiable payment shocks - hiding inside the trillions of dollars of compute contracts signed by OpenAI and other frontier labs since 2024.

If the article is too much TLDR, just a look at power sources can be enough, the plans to restart Three Mile Island and build new nuclear reactors. Nuclear energy production has been decreasing for years because it has always lost money, in addition to the radioactive waste that just sits on site for decades and the need for an external power source to cool the waste for years after the plant shuts down. But now the investments are so huge that nobody bothers to check the probability of getting any of that money back.
 
The United States has an extraordinary concentration of data-center infrastructure. Stanford's 2026 AI Index counts 5,427 U.S. data centers, more than ten times any other country.

The Federal Reserve estimates that the U.S. possessed about 74% of global high-end AI compute, compared with approximately 14% for China and 4.8% for the EU.

https://hai.stanford.edu/ai-index/2026-ai-index-report ?utm_source=chatgpt.com

https://www.federalreserve.gov/econ...conomies-20251006.html?utm_source=chatgpt.com

It's always entertaining to lift the hood on Lit's most contradictory personality, the angry little troll calling himself DeluxAuto, especially while he reflects gloomily upon the supposed demise of American supremacy in AI. His name suggests a Cadillac; his argument, as always, suggests a Model T with a dead battery. He seems to regard America's lead in artificial intelligence much as a man in 1910 might have regarded the automobile: a passing novelty destined to be crushed beneath the inexorable superiority of the horse and buggy. Meanwhile, American engineers are building the computational equivalent of the interstate highway system; we have DeluxAuto sitting beside the road, polishing his intellectual Model T and explaining why gasoline will never catch on.
It's fun to watch your stupid ass destroy your own argument and look like a fucking idiot while doing it.
 
How much AI do we use versus other countries?
At present, we rank fairly low, but the important distinction is that the U.S. ranks low in population usage while ranking high in AI development, investment, computing, and business use. That's actually a pretty funny situation: America is building the world's most powerful AI machinery while a surprisingly large portion of Americans are still standing outside the factory wondering what all the noise is about. So if someone says, “America isn't dominating AI because other countries use AI more,” they're confusing using the automobile with manufacturing Ford. Those are two rather different accomplishments.
 
At present, we rank fairly low, but the important distinction is that the U.S. ranks low in population usage while ranking high in AI development, investment, computing, and business use. That's actually a pretty funny situation: America is building the world's most powerful AI machinery while a surprisingly large portion of Americans are still standing outside the factory wondering what all the noise is about. So if someone says, “America isn't dominating AI because other countries use AI more,” they're confusing using the automobile with manufacturing Ford. Those are two rather different accomplishments.
What’s the metric? Number of users? Frequency of use? Tokens?

ChatGPT, Grok, Gemini, etc are used by millions, but that doesn’t scratch the surface.

All the major enterprise applications from companies like Salesforce, SAP, Oracle, etc embed AI in their apps. It’s under the covers and mostly not broken out as a separately charged capability.

Then there are the platform vendors. Databricks, AWS, Google Cloud, IBM, Oracle, Microsoft, Snowflake, and tons of smaller companies.

And specialized applications targeting key sectors like defense & intelligence, pharma, energy, transportation, etc.

AI is in its early stages. Things are evolving rapidly. Makes it nearly impossible to measure revenue and usage in a meaningful way. It’s not the same as measuring mature markets like automotive, computers, phones, consumer goods, etc.
 
What’s the metric? Number of users? Frequency of use? Tokens?

ChatGPT, Grok, Gemini, etc are used by millions, but that doesn’t scratch the surface.

All the major enterprise applications from companies like Salesforce, SAP, Oracle, etc embed AI in their apps. It’s under the covers and mostly not broken out as a separately charged capability.

Then there are the platform vendors. Databricks, AWS, Google Cloud, IBM, Oracle, Microsoft, Snowflake, and tons of smaller companies.

And specialized applications targeting key sectors like defense & intelligence, pharma, energy, transportation, etc.

AI is in its early stages. Things are evolving rapidly. Makes it nearly impossible to measure revenue and usage in a meaningful way. It’s not the same as measuring mature markets like automotive, computers, phones, consumer goods, etc.
Sounds like a classic bubble. Lots of wishful thinking about future gains, but no evidence of rising demand.
 
Trump will make him and his cronies billions while we get stuck with the bill and the environmental impact.
 
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