Will AI make you rich? What Alex Hormozi got wrong about the hype cycle
Alex Hormozi says AI will not make you rich. He is right about the next twelve months and wrong about the decade after it. Here is the 2002 paper on technological revolutions that explains why, and what it means for your business.


Will AI make you rich? Alex Hormozi posted a video a few days ago arguing that it will not, at least not in 2026. The video has done north of 215,000 views and most of it is correct. He is right that the majority of people currently pouring money into AI are not going to see a return this year. He is wrong about what happens next, and the reason is not an opinion. It is a pattern that was documented in 2002 and has repeated through every technological revolution for two hundred years.
Will AI make you rich in 2026? No, and that is not the question worth asking
The mistake is not in his numbers, it is in the time horizon. Twelve months is not the unit of measurement for a technological revolution. It never has been.
In 2002 the economist Carlota Perez published work on the dynamics of bubbles and golden ages, mapping how new technologies actually get absorbed. The shape is always the same:
- 1The trigger. A new capability appears and a handful of people notice.
- 2Inflated expectations. Everyone notices. Capital floods in, and the promises detach from what the technology can currently do.
- 3The frenzy and the crash. Reality lands and valuations correct, hard.
- 4The golden age. The technology, now unglamorous, gets built into everything and quietly produces most of its actual economic value.
Steam, rail, steel, electricity, the car, the internet. Same curve every time.
Where AI actually sits on the curve right now
The trigger was 2021 into 2022, when large language models became genuinely useful and adoption started climbing. That gave us three to four years of expectations compounding on themselves. People have been told AI will run their marketing, replace their team, fix their pipeline and print money inside ninety days.
It did not do that. So we are sitting at the top of inflated expectations, which is exactly where Hormozi is calling the top. He is not wrong about the position. What he says in his video is that people using AI are not generating more money, and for a lot of people right now that is simply true.
There is a funding story underneath it too. The circular flow of capital between the big model labs, the chip makers and their own investors has the texture of every late bubble that came before it. That money is not all coming back. So yes, there is a pullback coming. There will be redundancies. Some very loud companies will fold in on themselves. None of that is an argument against the technology. It is the schedule.
The beginner mistake that makes the crash personal
People arriving now believe the effort and sacrifice required is roughly nil, and that the return is a metric ton of money, more or less immediately. Buy the tool, watch the video, become a millionaire by the weekend.
What actually happens is the boring version. You spend real time understanding what the technology can and cannot do. You implement something narrow that works. You get the return on investment positive for one process. Then, and only then, the money follows.
That gap between the fantasy and the mechanism is what wipes people out at the top of a cycle. Not the technology failing. The expectation failing.
Amazon fell more than 90 percent and still won
The dot-com crash is the cleanest evidence available. Amazon lost more than ninety percent of its value. If you look at 1999 into 2000 there is a near vertical decline to almost nothing. Anyone reading that chart in 2001 would have told you the internet retail thing was finished.
From 2001 to 2014 it climbed back, with several more brutal drops on the way. Zoom out to the all-time chart and that entire catastrophic dot-com collapse is a small notch near the origin. Amazon's share price sits around 244 dollars today. It took roughly 25 years to get there.
The NASDAQ ran the identical play. Company after company tanked, the index spent years underwater, recovery started properly around 2015 and 2016, the financial crisis interrupted it, and then it went parabolic. Around 25,690 today against roughly 5,000 at the old peak. Both charts say the same thing. The crash was real, and the crash was not the story.
So will AI make you rich? Yes, on a longer clock
AI is the same trade. It will not make you rich in the next six to twelve months. If you hedge your bets, implement it properly and stay in it, it absolutely will.
The technology is not going anywhere. Nobody is switching it off. People are already relying on it for decision making and critical thinking, and our monkey brains cannot comprehend the complexity of these models well enough to give that reliance back. I am guilty of it too. I use it heavily every day. It is not part of my business, it is my business.
That is the actual disagreement with Hormozi. He is describing the weather. The question worth answering is what you build while it rains.
What to do with this if you run a business
Ignore the cycle talk for a second, because none of it changes what a sane implementation looks like:
- Automate one process that already hurts, not ten that might. Reliability compounds badly across long chains, which is a maths problem before it is a technology problem.
- Make the return measurable on that one process before you widen the scope. Crane hire billing and appraisal workflow both started as a single painful step, not a platform.
- Keep pricing, compliance and anything with legal exposure deterministic. Models are good at judgement and bad at repetition. Do not let one invent a number.
- Expect the noise to get worse before it gets better. The businesses that come out of the trough in front are the ones that spent it building instead of posting.
If you want a straight answer on where your business is leaking time and revenue, and what is genuinely worth automating first, book a call and we will go through it.