We’ve Mistaken Efficiency for Evolution

There’s a constant argument of AI versus humans and if AGI’s purpose is to outperform us.

But what can AI do today that a human can’t?

The answer is still nothing.

Every model, every agent, every automation is built on human input, human knowledge, and human context. So what’s the point of AGI? To free humans to do what exactly what? Scroll more, consume more, produce more noise?

People call it a “net positive” because it reduces cost. But cost is a human invention, not a law of nature. The drive to minimize cost only exists because humans hoard resources beyond what’s needed. If we truly cared about intelligence, discovery, understanding, and progress, then cost wouldn’t be the constraint. It becomes irrelevant. Intelligence is defined by truth and adaptation, not profit margins.

We’ve mistaken efficiency for evolution.

We’re not building AGI to uplift people, we’re building it to maintain the same flawed systems. Only faster, cheaper, and with fewer people involved.

If AGI’s role is to replicate the very scarcity mindset that created our need for it, then it’s not intelligence, it’s more of the same.