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This Datacenter Problem Nobody's Talking About

2026-03-26 Science & Technology
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Matt Wolfe
Matt Wolfe
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Description

The biggest issue I see with the Datacenter Moratorium. Discover More: πŸ› οΈ Explore AI Tools & News: https://futuretools.io/ πŸ“° Weekly Newsletter: https://futuretools.io/newsletter πŸŽ™οΈ The Next Wave Podcast: https://youtube.com/@TheNextWavePod Socials: ❌ Twiter/X: https://x.com/mreflow πŸ–ΌοΈ Instagram: https://instagram.com/mr.eflow 🧡 Threads: https://www.threads.net/@mr.eflow 🟦 LinkedIn: https://www.linkedin.com/in/matt-wolfe-30841712/ πŸ‘ Facebook: https://www.facebook.com/mattrwolfe Let’s work together! - Brand, sponsorship & business inquiries: [email protected] #AINews #AITools #ArtificialIntelligence

Top Comments (10)

@ScottPaulTV 2026-03-26

I love that you’re spotlighting this as a pro AI channel. Let’s indulge responsibly people πŸ’―

42 1 replies
@BrianMooney1976 2026-03-26

Most level headed commentary I've seen on this. Thank you.

30
@russellsimpson3275 2026-03-26

Maybe the AI companies should spend the next couple years focusing on reducing compute and energy expenditure. Make the AIs more efficient, then we won't have these other issues. We have seen huge improvements in AI and general computational efficiency in the past few years, so keep doing that.

13 3 replies
@LilGothGhost 2026-03-26

there isn't nuance on social media for anything. it makes us easier to distract and divide.

13
@davidarmann4114 2026-03-26

The costs to humanity and nature are immensely negative.

7
@aviad5 2026-03-26

These kind of videos show you're simply a good guy, not blinded by money or what ppl think. Respect

5
@tetrahedralone 2026-03-26

There is also an option to shift away from GPUs to neural processors as a way to reduce energy consumption. These companies really have to focus far more on R&D.

4
@imjustinanderson 2026-03-26

Native Memphian here and go home to visit yearly, the price jump is insane...

4
@shubinternet 2026-03-26

For the supply versus demand issue, just make the AI usage more expensive. Make it pay for itself. Smaller customers may not be able to afford to train their LLMs, but all the inferencing should be done locally anyway. Like, on your iPhone. Or iPad. Or your laptop or desktop computer. The big data centers should only be required for training, not inferencing. These local devices can do inferencing just fine. Most of them just can’t effectively do the training part.

3
@Oak535 2026-03-27

Demand is not really that high. It feels more like an obligation than anything. I work with people within these fields and the grand majority hate having to use AI

3

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