Bonus: The Robot Gets Credit For Everything You Do Right.

I want to tell you about a specific kind of humiliation.

You work on something. Really work on it. You think about it in the shower. You write a draft, hate it, throw it out. You write another one. You read it out loud to yourself at eleven at night because that is the only way to know if it actually sounds like a human being wrote it. You get it right. You know you got it right because it has that feeling — the one that is very hard to explain and impossible to manufacture — where the sentences land exactly where they are supposed to land.

You share it.

And someone in the room — a colleague, a peer, someone you respect — looks up and says:

"ChatGPT wrote that, right?"

Not a question, really. A verdict. And why? Because I love em dashes? 

I have had this happen to me personally. And I want to tell you that the specific flavor of that moment — the particular combination of disbelief and fury and the sudden desperate need to explain yourself to someone who has already stopped listening — is unlike anything else I have experienced in thirty-five years of doing this work.

Because here is what that question actually says. It says: anything good that comes from you is probably not from you. The tool gets the genius. You get the suspicion.

And now let me tell you about the other side of this arrangement. The side nobody talks about at conferences.

The AI-generated email goes out with the wrong offer. Yours is the name on the send.

The AI-written blog post contains a statistic that is completely fabricated, stated with the full confidence of something that has never once been uncertain about anything. A customer catches it. Screenshots it. The room turns slowly in your direction.

The AI-produced campaign goes live with messaging that accidentally steps on something sensitive — a news story that broke that morning, a tone that reads wrong against the current moment, a joke that lands like a slap. Nobody asks what the model was thinking.

They ask what you were thinking.

Welcome to the scapegoat economy. The arrangement is elegant, really, if you can appreciate it from a purely structural standpoint. The machine produces. The human approves. When the production is good, people marvel at the machine. When the approval was wrong, people question the human. The machine cannot be fired. The machine cannot be called into a meeting. The machine does not have a performance review coming up in November that this incident will now be a part of.

You do.

This is not an accident. I want to be very clear about that. Companies did not stumble into this arrangement through some innocent combination of enthusiasm and poor planning. They built it. Perhaps not consciously — I will be that generous — but the incentives were always pointing here. AI is cheap. AI is fast. AI does not ask for equity or benefits or a title bump after two years of strong performance. And when AI makes a mistake, the liability lands on the human in the org chart directly above the output.

Perfect system. If you are the company.

Considerably less perfect if you are the human.

And here is the part that should keep you up at night if it isn't already. The problem is getting worse, not better. As AI gets more capable, the output gets harder to distinguish from genuine human work on a good day. Which means the credit question — "the AI wrote that, right?" — gets asked more often, not less. Your best work will be increasingly attributed to a tool. Your worst moments — the ones where the tool hallucinated something, or missed the tone, or failed to catch what any experienced person in the room would have caught — those will remain entirely, personally, professionally yours.

You have been handed responsibility without authority. You are the designated adult in a room where the machine made all the actual decisions and you were handed a clipboard and asked to sign.

So what do you do about it?

You make your judgment the product. Visibly. Deliberately. Loudly enough that when the work is good, no one in the room can reasonably attribute it to anything other than a human being who knew what they were doing.

That means your fingerprints have to be on it in ways a machine cannot replicate. Your specific experience. Your point of view. Your willingness to say the thing that is true but uncomfortable. The anecdote from the client meeting last Tuesday. The insight that only comes from having been in this industry long enough to watch the same mistake happen four different times in four different decades.

AI can draft. It cannot have a perspective that is yours and only yours.

The marketers who figure this out are going to be fine. Not because they outsmarted the machine. Because they understood what the machine cannot do and made that the thing they are known for.

The marketers who don't figure it out are going to spend the next decade getting credit for nothing and blamed for everything.

That is not a prediction.

It is already happening.

And somewhere in your building right now, someone is about to hit send on something the AI wrote, with their name attached, that they read once and approved in ninety seconds because the calendar was full and the deadline was yesterday.

I hope it goes well for them.

It usually doesn't.

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Here is the uncomfortable question underneath all of this. If you are going to be held accountable for your organization's AI output — and you are, whether the org chart says so explicitly or not — do you actually know how well governed that output is right now? Where the gaps are? Where the next mistake is quietly assembling itself? Buzzhoney offers a B2B Marketing AI Maturity Assessment that answers those questions honestly in about ten minutes. It was built for exactly this moment — when the accountability is real and the visibility isn't.

Know what you're responsible for.

Before someone else shows you.

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