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Thought Leadership

Good. Let it come.

They gather in conference rooms, post breathless threads, book panels at Davos, and ask: How do we stop AI from taking over? How do we regulate it, slow it, contain it, make sure it stays in its lane? How do we protect jobs, preserve humanity, keep the machines from getting too smart?

by Caleb Costa Apr 30, 2026

A contrarian’s case for running directly at the thing everyone else is fleeing

Everyone keeps asking the wrong question.


They gather in conference rooms, post breathless threads, book panels at Davos, and ask: How do we stop AI from taking over? How do we regulate it, slow it, contain it, make sure it stays in its lane? How do we protect jobs, preserve humanity, keep the machines from getting too smart?
Wrong question. Coward’s question.

Here is the right one: What do you plan to do while everyone else is busy being afraid?

I am not here to reassure you that AI won’t disrupt your industry, eliminate your role, or fundamentally alter what it means to be useful in the economy. It will do all of those things. The people telling you otherwise are selling you comfort food. I am not selling comfort food.

What I am telling you is this: the blast is coming, it is already here, and the worst place you can possibly be is fifty yards behind the people running toward it.

The Myth of the Safe Distance

There is a popular coping mechanism among smart, experienced professionals right now. It goes like this: AI is a tool. I will use it selectively. I will stay in control. The fundamentally human things I do (relationships, judgment, creativity) will protect me.

This is a story people tell themselves while the ground shifts under their feet.

The assumption embedded in that logic is that AI will advance far enough to be useful but not so far as to be threatening. That there is some stable middle ground where you get the productivity benefits without the existential pressure. That the blast has a safe radius.

It does not.

The professionals who thrive in the next decade will not be the ones who used AI carefully. They will be the ones who ran straight at it, got burned a little, figured out where the edges were, and came back knowing things the careful people will spend years trying to learn from a distance.

Distance is not safety. Distance is just a slower kind of obsolescence.

What “Destroying Humans” Actually Looks Like

Let’s be honest about what AI is actually destroying, because it is not humans. It is a particular version of humans that most people were not that excited about to begin with.

It is destroying the human who spends four hours reformatting a report no one reads. The human who sits in a meeting to explain a slide deck that should have been an email. The human whose entire professional identity is built on knowing something that can now be retrieved in eleven seconds. The human who charges for effort rather than outcomes. The human who confuses being busy with being valuable.

That version of you? Gone. And honestly, good riddance.

What AI cannot destroy is the human who builds things other humans need. Who understands a customer’s problem better than the customer understands it. Who makes the call when the data is ambiguous. Who has enough scar tissue to know which risks are worth taking and which numbers are lying. Who can sit across from someone in genuine distress and make them feel like they are not alone.

The destruction being promised is real. The victim they have cast for the role is not.

The Blast Has a Logic

Here is what people miss when they treat AI as pure threat: it is not random. It follows a pattern. It eats tasks before it eats roles. It eats roles before it eats functions. It eats the bottom of every skill distribution before it touches the top.

Which means the blast has a logic, and if you are willing to run toward it, you can read that logic faster than everyone retreating from it.

Right now, in real time, AI is showing you exactly what the market values. Watch what it automates first. That is the market telling you, in the clearest possible language, what it was only tolerating about you, what it was never truly paying for.

Watch what it cannot automate. That is your blueprint.

The people running away from AI are, functionally, running away from the most accurate market signal of their careers. The people running toward it are getting a graduate-level education in what actually matters, paid for by the discomfort of everyone who stayed behind.

Running Toward the Blast is Not Recklessness

Let me be precise about what I mean, because there is a version of this that is just hubris with better vocabulary.

Running toward the blast does not mean abandoning judgment. It does not mean deploying AI carelessly, trusting models blindly, or confusing novelty with value. The person who runs toward the blast and gets killed by it is not brave. They are just dead.

Running toward the blast means being the person who finds out what it actually does before they have an opinion about it. Who runs the pilots while everyone else is writing white papers about whether to run pilots. Who builds fluency in something threatening because fluency converts threat into leverage. Who accumulates real experience in the space where everyone else is still debating whether to show up.

It means accepting that you will be wrong about some of it. That you will bet on tools that fizzle, strategies that miss, approaches that do not work. And it means knowing that those losses are worth more than the clean record of someone who never risked being wrong because they never risked anything at all.

The People Who Win the Next Decade

They are not AI researchers. They are not necessarily technical.

They are the people who understand a domain deeply enough to know what a good AI output looks like and what a dangerous one looks like. Who have spent enough time with real customers, real problems, and real consequences to know where the model is full of it. Who can translate between the language of business and the language of systems without losing the meaning in either direction.

They are the people who got uncomfortable early, on purpose, before they had to.

They are the people who, right now, while this essay is being written and debated and shared and dismissed, are already three iterations past the version of AI everyone else is still arguing about.

They ran toward the blast.

They came back knowing something.

One More Thing

The people most afraid of AI are, with some exceptions, the people who built their careers on doing things that should have been automated years ago. The fear is not really about AI. It is about what AI makes visible: that a lot of what passed for expertise was really just friction dressed up as value.

That is not a comfortable thing to say. It is also not a comfortable thing to be.

If you read that last paragraph and it does not apply to you, then you have nothing to fear. Run toward the blast. It will not destroy you. It will clarify you.

If you read it and felt something uncomfortable move in your chest, then you have a choice. You can keep building your case for why AI is dangerous and unfair and moving too fast and needs to be stopped.

Or you can figure out what you actually do that matters, and go do more of it, faster, with better tools, before someone else does.

The blast does not care which one you choose.

Neither does the market.

The author runs an AI agent platform company. He is either right about this or extremely motivated to believe he is.