95% of AI projects are failing while Wall Street rakes in profits and businesses see zero returns

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95% of organizations that are pouring money into generative AI have little or nothing to show for it. That isn’t rumor. That’s MIT’s own conclusion. They say the machines can’t retain data. They can’t adapt. They can’t learn over time.

So let’s stop pretending. They are not intelligent. Not artificial. Not anything.

But Wall Street wants you to believe otherwise. Citron just doubled down on their Palantir short because somehow a $500B price tag on OpenAI magically makes Palantir worth $40. Do you see the insanity? Big numbers tossed around like confetti, while small investors line up to be harvested.

And the truth is worse. Running this stuff costs a fortune. Experts admit there is “one massive reason AI is not the ROI machine investors hoped it would be: it costs a staggering amount of money to run and is expected to get more expensive as operations advance and scale up” (Futurism). The deeper you go, the higher the burn rate.

Yes, the chip giants and cloud kings are feasting. Alphabet, SK Hynix, Nvidia all drunk on record profits. But the companies buying AI? McKinsey says 80% of them report zero impact on EBIT. Zero. Only a handful that restructure everything around AI see any lift. Everyone else is left holding the bill.

This is not new. AI has existed for decades. The difference now is that it has been packaged as salvation, a trillion-dollar cure-all for a broken economy. In reality, it is just another last-ditch attempt to squeeze a little more out of dumb money before the lights go out.