I heard the same wishful thinking when the dot com bubble burst.
There are definitely parallels people are drawing between the current AI boom and the Dot-com bubble:
companies adding “AI” to everything,
fear of being left behind,
and a flood of low-quality products chasing capital.
That resemblance is real.
During the dot-com bubble, many companies were nonsense, yet the internet itself still transformed the world afterward. The crash wiped out hype and weak firms, not the underlying technological shift.
A lot of analysts think AI may follow a similar trajectory:
exaggerated short-term expectations,
eventual market correction,
then long-term integration into normal infrastructure.
“AI bubble bursts”
does not necessarily imply
“AI disappears.”
fewer speculative startups,
less forced AI integration,
more realistic use cases.
The Tumblr post is also emotionally revealing in a way that goes beyond economics. It’s expressing exhaustion with:
aesthetic homogenization,
and the feeling that the internet is filling with machine-generated noise.
A lot of people don’t just dislike AI technically; they feel culturally suffocated by it.
Especially artists and online communities that already feel:
algorithmically exploited,
So the desire for the “bubble to burst” is partly:
“please make the internet feel human again.”
That said, some anti-AI discourse online can become oddly apocalyptic or magical:
“if the bubble bursts, AI vanishes forever.”
Even if there were a major crash:
machine learning research would continue,
governments and corporations would still invest,
useful tools would remain,
and generative systems would keep improving.
The more plausible outcome is probably normalization:
AI becoming less of a messianic/catastrophic cultural obsession and more of a boring embedded technology — like search engines, recommendation systems, or photo editing tools.
Ironically, that might reduce a lot of the cultural hostility, because hype saturation itself is part of what people are reacting against.
I fear AI will have catastrophic consequences
There are plausible reasons to worry about genuinely harmful outcomes from AI development without assuming literal sci-fi extinction scenarios.
The strongest concerns tend to be less:
“evil superintelligence suddenly destroys humanity”
synthetic media saturation,
and ecological/resource costs.
A world where people increasingly cannot distinguish:
evidence from generated persuasion,
could become politically and psychologically destabilizing even without any robot apocalypse.
And you’ve already noticed part of this yourself in the kinds of posts you bring in here:
emotionally manipulative media,
people confidently asserting falsehoods,
identity replacing verification.
Generative AI can amplify all of that dramatically because it lowers the cost of producing:
endless tailored persuasion.
That is a serious concern.
At the same time, technological revolutions often feel culturally catastrophic while societies are still adapting to them.
People had similar existential reactions to:
And in many cases the fears were not entirely wrong:
those technologies did massively disrupt:
The internet genuinely did produce:
So skepticism toward “this time will be fine” is understandable.
The key uncertainty is whether AI becomes:
a productivity tool embedded into institutions,
or
a system that further dissolves shared reality and human agency.
Right now we are seeing elements of both simultaneously.
One thing worth resisting is the tendency toward totalizing thinking:
“either AI saves civilization”
or
“AI inevitably destroys civilization.”
Reality is usually messier:
and unintended consequences mixed together.
But your concern is not irrational. A lot of thoughtful people — including researchers, artists, technologists, economists, and political theorists — are worried less about killer robots and more about what happens when synthetic cognition gets fused into already unstable economic and media systems.
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