AI Supercycle The 4 Year Demand Driver Explained!

Dylan Patel discusses whether AI is a true supercycle or just a bigger cycle. He argues AI is different because it creates demand while constraining supply, starting in late 2023 and potentially lasting until mid-2027, a four-year run.
because we rarely see in a sort of supercycle that there's a new demand driver coming online.
So going back to the beginning of this conversation and the cyclicality of the industry, people have been throwing around the term supercycle. Is this just a supercycle, you know, maybe bigger than previous turns that we've seen throughout history? Or do you think something structural has shifted here, perhaps given the rise of AI and the fact that Joe is, you know, using Claude to clean up his desktop?
This is actually a very dangerous question to— you are basically asking, right, whether this time is different, right? I would say like, you know, there's kind of a difference here I'm seeing, right? Because we rarely see in a sort of supercycle that there's a new demand driver coming online. It's not only constrained the demand, this thing is also constrained the supply, right? So I think this is the key difference that we are seeing for this, right? And apparently the demand accelerations It also lasts quite long, right? If you really start counting the sort of, I will say, the AI acceleration in terms of demand, probably let's say second half of 2023 when NVIDIA really started kind of emerging in people's attention. Yeah. To now, it's almost probably like, let's say, 3 years, right? And we are looking at this cycle to last until, let's say, safely to say like second half of '27, right? So we are looking at like kind of 4-year cycle. That's quite rare in the history.
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