this post was submitted on 30 Apr 2026
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But implications are all I need.
It's either transformative or a fad.
It's already transformed media, education, advertising, politics, and more.
Do you think once the bubble pops, AI will just disappear like Pogs?
Even when the datacenters go dark, the tech will still be here, still be used. Eventually it will find its natural place in a new world.
I'm not saying it's not a bubble. It absolutely is. Everything you're saying is true. It will fall, and hard. I've put 10s of thousands of dollars on it being soon. But after the dust clears AI will still be used, and has already changed the world. How much more it'll change is the only question.
You appear to have missed the part where I asked you to be concrete and justify whether it's worth the investment.
Vague talk of "change" and "transformation" mean nothing. Sure, it "changed" the level of poison in the atmosphere over communities in Tennessee.
It's not worth the investment. That's what a bubble is. We agree on that.
But long after the bubble pops. 20 years from now. Will AI disappear? Will it be a joke people tell? Or will it be as important to the world as the internet is today?
I'm saying it's both a bubble, and an important lasting technology. It's not a binary choice.
I see you saying it's important, but you haven't provided one reason why.
Well I use AI every day in Photoshop and Lightroom. AI tools are common and extremely useful in all sorts of media production already.
Science is using it on modeling of protein folding, and large dataset analysis. I personally know one person using AI tools to analyze fMRI data in a study.
News media uses it in formulaic articles in finance and sports. They've been doing that with specialized software for a decade or more already.
Those are just a few places where it is a useful productive tool. I'm sure there are many more. Is that what you're asking for?
Photoshop used AI long before generative AI took off. Specialized models have existed for various domains for decades. This is unrelated to the current bubble.
Science used AI long before generative AI took off. Specialized models have existed for various domains for decades. This is unrelated to the current bubble.
News media is also dying. It's saturated with low quality clickbait, and most major news sites are barely worth a mention anymore. Not only are the writers losing their jobs, but the businesses themselves are being bought out by larger investment companies and being turned into tabloid clickbait, propaganda tools, and listicles. I wouldn't expect most of them to survive past the bubble, and that even has very little to do with generative AI anyway and more to do with a cultural shift in how people receive and consume news.
Sorry... It got busy at work. I don't care anymore
I thought we were talking about the article, Google's generative AI (thread topic). The thing that needs the data centers (my very first post). Protein folding and fill tools existed before the bubble started inflating, and are not what we were talking about...
Go back to my first comment.
That was never what we were talking about.
We were talking about the "transformative" tech the bubble was supposedly making as it inflates? I'm just reading and repeating your words now
Switching from the current bubble to broader pre-bubble stuff that literally nobody means when they criticize AI is just a motte-and-bailey. I want to know what the methane-powered data centers are for. Not what pre-bubble stuff could maybe do
So of the 3 examples I gave you ignored 2 and claim one doesn't count.