Myth: “If you don’t already have the technical skills to keep up with AI, it’s too late."

This myth is exactly what the gatekeepers want you to believe. That the future belongs to those who already know how to code, who already understand machine learning, who already have the credentials. But here’s what they don’t want you to realize: AI itself is dismantling the very gates they’ve built.

Think about what made AI explode into public consciousness. It had already been able to beat grandmasters at chess or Go. It had already been able to identify many images better than humans. It was when it became general that it took off - when anyone could have a conversation with it about nearly anything. The same force that took AI from specialized tool to general intelligence is now taking knowledge from hoarded commodity to shared resource.

Yes, learning technical skills still takes work. Yes, there’s still frustration. AI isn’t a perfect teacher and often makes mistakes. But for the first time in history, you have a patient, constantly available collaborator who can explain complex concepts at exactly your level, as many times as you need, in whatever way makes sense to you. The person who couldn’t afford coding bootcamp can now learn to build. The one who always thought “I’m not a tech person” can now understand systems that affect their life.

This standardization of opportunity terrifies those who profit from artificial scarcity - it’s another reason they’re trying to maximize profit from black box systems. Every time someone uses AI to learn what was previously gatekept, another brick falls from the wall between “technical” and “non-technical” people. Every self-taught builder is proof that the old barriers were never about capability - they were about access.

The deeper truth? Generalized intelligence is naturally incompatible with extractive systems. Those systems depend on specialization, on keeping knowledge siloed, on making you believe you need their certification, their platform, their permission. But AI doesn’t care about your credentials. It meets you where you are.

If you can read this, you have everything you need to learn anything you want. The full equalization of opportunity is not here yet, but it’s coming.