And just like, Reverend Jim Jones of the infamous Peoples Temple Movement lays out the whole setup with AI..
“Residents of the commune later committed suicide by drinking a grape flavored beverage laced with potassium cyanide. Some were forced to drink it; some others, such as small children, drank it unknowingly. About 918 people died.”
I first found out what “Drinking the Kool-Aid” meant as a young Philo reading “The Fundamentals of Hedge Fund Management” exactly 18 years ago.
And I can’t help but find similarities between actual suicide via ideology and today’s corporate AI strategies…
First, the big boys at the top of the AI food chain acknowledge (one way or another) that this is survival first, ROI second…
Some voluntarily do it (like crazy Zuckerberg) — and some do it because they understand the market setup (like Satya, probably).
We laid out the whole setup more than a year ago for subscribers in the Techno-Imperial Cycle piece here 🔻
Now, the cycle is getting tired…
The market is getting hype fatigue:
The mega deals being announced just don’t make sense
It’s clear that they are focusing on announcing deals rather than doing real business
And all this while AI adoption-fatigue is creeping in…
The reason is simple — the lizards at the top of the food chain are trying their best to keep the party alive.
Because deep down they understand the 🔄reflexive connection🔄 between their valuations, their bottom lines and the current AI cycle.
—> And that’s keeping it very simple.
I know it’s Sunday and you don’t have the energy for deep reading right now — so consume this for now.
Revision!
Corporate AI strategies are force-feeding themselves with AI-related hardware and software.
They do this to stay true to AI ideology and announce to the market their grand AI ideals (again, refer to the flowcharts in Techno-Imperial Cycle)
But that’s not all —> They drink their OWN Kool-AI-d™️
They force their employees to adopt and use AI across the enterprise — but is it working out?
Adoption fatigue is creeping in: which tells me that AI tools like Chatbots (and not only) will never get the critical mass they so desire, at least anytime soon.
(No wonder Sam Altman started talking about curing cancer using compute)
Which means Hyperscalers are going to have a problem selling more compute profitably — which complicates the setup for NVDA, especially as China pulled the rug from under their GPUS…
Next up on Philoinvestor
Next up: NVDA. Because when the Kool-AI-d™️ runs dry, someone’s left holding the GPU bag.
Stay tuned 👇
Philo 🦉
I’m kinda happy AI adoption fatigue is creeping in. The whole reason why it became a bubble in the first place was because executives don't understand what AI is. they are not technical people. They are not people who have the time, energy, or even the interest to sit down and play around with different models to understand the limitations. They are not the people doing the real work at a company so they don't understand the limitations of AI in actually doing the work. The biggest reason why it became a bubble is because the executives are so disconnected with technological advancements and the work going on at their companies.