Death Star

Death Star

Andy Marken July 2, 2026

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Look, I can't get involved. I've got work to do. It's not that I like the Empire; I hate it, but there's nothing I can do about it right now It's all such a long way from here. - Luke Skywalker, Star Wars: Episode IV - A New Hope, Lucasfilm.

We admit it we use AI the way AI companies develop/developed their products we use key words/phrases to scrape the internet to get the information we need for the subject we're writing about.

Most of it is crap, misleading which gets thrown away so we kill more bits/bytes.

Then we think, write.

Sometimes, three or four times.

Yeah, it's a sloppy, messy process and AI execs/proponents will say it's a foolish waste of time; but in the end, we can honest to gawd say we did that.

So, we're not totally against AI but we just don't think everyone has thought this thing through before jumping into the deep end or they simply don't give a crap about the consequences.

We know, it's the hot, new thing that's going to make life easier, better for everyone.

It's not new. Alan Turing started fiddling with machine intelligence back in 1950.

Nvidia has been producing AI chips for years updating, enhancing them, making them more and more powerful (and expensive).

Now that they've really taken off, Jensen Huang (CEO) has been busy circling the globe spreading the gospel, breaking bread with government leaders in almost every country, buying chunks of AI tech companies and juggling the thankless job of determining how AI data center builder/owner get the chips they need and still stay within the myriad of governmental guidelines/regulations.

And yes, keeping the company ahead of the competition especially AMD and a number of Chinese quick learners.

But hey, it's a big business because everyone is investing in it and the potential varies all over the map with Gartner projecting $1.5T will be spent on AI this year while Yahoo Finance estimates the market will be worth $758B this year.

Yeah, it's anyone's guess but the fact is 32 countries have or are building AI data centers with China and the US hosting the majority (90 percent) of the 11,800 specialized data centers.

The leading hyperscalers are Amazon, Microsoft and Google while China's Alibaba and Tencent lag behind it's not because of a reluctance to finance bigger, better data centers but because of they can't get bleeding edge chips so they're waiting patiently/impatiently.

Of course, Meta is also investing heavily in buying experts and building out data centers for next generation technology so they can milk everything possible from the world's data.

These aren't your run-of-the-mill data centers.

They use tons of GPUs, TPUs to handle the massive processing, acres of high-speed, scalable storage and yes, they have plenty of room for growth because the data centers will only get bigger and bigger and

Oh yes, while you think your personal ChatGTP assistant and image generators are cool to use, we need to note that AI data centers demand a ridiculous amount of power - 6-14 kW pr server, 30-100+kW per rack compared to an ordinary data center rack that consumes 5-15 kW.

Standard data centers use traditional air conditioning to manage the heat the hardware generates but an AI data center runs so fast and generates so much heat they can consume up to 550,000 gallons of water per day.

While a discussion with your chatbot will only use about 500ml of water, IDC projects that by 2028, AI will require 720B gallons of water annually in the US, probably a similar amount where you live.

Much of the data center consumption will come from local community water supplies, many of which are already strained.

Iceland is probably the best location for AI data centers - plenty of renewable energy and an ocean of distillable water at their doorstep.

But then, they don't affect your AI carbon footprint and negative environmental impact unless the industry wants to change the way they bring AI to life and use it.

Of course, the existing power grid in places like the Americas, China, EU and MEA wasn't built to deliver this level of power AI needs day-in and day-out.

That means power grids will simply collapse, or utilities will have to double, even triple their capacity to meet the accelerated demand, which means your home power will cost more as you subsidize the infrastructure costs.

Advanced grid management technologies will also have to be developed/implemented.

The good thing when it comes to power production is we have options.

Sane countries like Australia, China, EU, Britian, CANADA, MEA and others opt for sustainable solutions like solar/wind farms and other renewable energy facilities.

Shortsighted countries know that climate change is really a hoax, so they opt for fossil fuel power production don't ask.

O.K., so there are a few side effects. Jeezz, but the benefits are so cool!

Source - Wall*E

And, when the time comes, AI will clean up after itself.

After all, all of the positives like instant answers, write-ups, papers, contracts, scripts, etc. far outweigh the negatives, right?

There has been an IT statement/observation that has been around since Grace Hopper first debugged a computer (and perhaps even before).

Garbage in Garbage out.

Yeah, AI develops its answers, work product by scouring everything that it can get its circuits on documents, books, music, movies, Post-its, reports, reviews, artwork, pictures, smart/dumb/really stupid ideas, whatever.

It really doesn't give a s**t. Data is data and AI lives for/lives on data!

And it's going to filter, sieve, sort, manipulate and spit out an answer/solution/finished product BAM!

After doing all of that work , if it doesn't have e

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