Something has changed in who gets to build.
For most of the technology industry's history, building required capital, teams, access to the right networks, the right investors, and the right rooms. The people who had those things built the companies. The companies created the wealth. The wealth went to the people who already had access to the capital, the networks, and the rooms. That cycle repeated itself through every major wave of technology innovation. And every time, the communities that were locked out of the previous wave watched it happen again from the outside.
AI disrupts that cycle. Not completely. Not perfectly. But structurally, in a way that has not been true before.
The tools that used to require large teams and hundreds of thousands of dollars can now be built by one skilled person with domain knowledge, the right tools, and a structured approach. I built a working full-stack SaaS platform in a week. One person. One week. That is a data point about what has changed.
Technology has always created advantages. The question has always been: who benefits?
Before this, the answer was that large institutions built enterprise systems. Government agencies commissioned custom infrastructure. Well-resourced organizations deployed sophisticated tools. Everyone else - the nonprofits doing the hardest community work, the small businesses operating on thin margins, the mission-driven founders who understood the problems most deeply - had to squeeze themselves into tools that were never designed for them, or go without.
NVIDIA's Jensen Huang predicted that AI will create more millionaires in the next five years than the internet did in two decades. I believe him. What I don't believe is that it will happen on its own for the people who need it most.
Wealth follows access. And access, unless someone intervenes, follows the same paths it always has.
The technology industry has an image of what a founder looks like. That image was shaped by who had access to the things that used to be required to build: the capital, the networks, the credentials, the zip codes. It became self-reinforcing. The people who fit the image got funded. The funding created success. The success confirmed the image.
We have a chance to change that. AI does not care about who you are or how you look. It cares about what you know. About the fact that you understand a problem deeply enough to know what to build and who it serves. That is a different qualification. And it is one that many people who have been locked out of every previous wave have.
I know what it means to bring your full capability into structures that were not designed to receive it. To do extraordinary work inside environments built for someone else. To recognize instinctively what is missing in a room, because you are what is missing. That knowledge sharpens you. And when the right moment and the right tools appear, it becomes an advantage.
A founder who spent twenty-five years navigating systems that were not built for her, building solutions for communities underserved by every previous technology wave, with deep knowledge of the problems those communities face, has something that capital alone cannot buy. AI gives her the tools to build with it.
The next AI millionaire founder could just as likely be a Black woman in Baltimore as anyone else.
I want this wave to be different. The wealth it creates should reach the founders who care deeply about solving problems that others have overlooked, problems that will move us all forward, the people who have been doing extraordinary work inside structures that were never built for them. They should be able to build real wealth as who they are, doing work they believe in, for people they care about, without it costing them everything.
This is what I am most excited about. Building a company that proves a different path is possible. And showing others how to walk it.
AI is an amplifier. It amplified twenty-five years of my knowledge into a platform I built in a week. It can do the same for anyone who brings something real to the table. The question is not whether the technology works. The question is whether we make sure the people who have the most to build with it get the chance.
That should not be a radical idea. And yet.