The laundromat had three broken dryers and one working television bolted high in the corner like a threat.
A man in a blue polo was folding little shirts into little squares while talking too loud into his phone. He had that managerial voice, the one they give out with the key card and the dental plan. Every sentence sounded like it had been ironed.
“I identified the retention problem,” he said. “I built the analysis myself. Very elegant. The team was impressed.”
His kid sat beside the vending machine, kicking his sneakers against the tile, bored out of his skull. I watched one of my socks go around and around behind glass and thought about all the quiet little thefts a person can commit without ever touching another man’s wallet.
This is the new office magic trick.
You ask the machine a question. It spits out the answer. You carry the answer into a meeting with your hair combed and your chin up. Then you say I found it. I discovered it. I solved it. Everybody nods because everybody is busy pretending something too.
It used to take a little more sweat to be a fraud.
You had to read half a book and quote the wrong half with confidence. You had to stay late at the office moving numbers around until they looked like an insight. You had to bullshit with both hands. There was craft in it, even if it was rotten craft.
Now the machine does the heavy lifting and the human does the bowing.
They have a clean name for this, of course. Synthetic competence. Sounds like something they would spray on a cheap couch to make it smell less like cigarettes. But the thing itself is older than the name. A man borrows another man’s strength and walks around flexing in the mirror.
The difference now is scale.
One clerk at the post office could fake knowing a regulation and maybe ruin somebody’s afternoon. One student could copy an essay and maybe cheat himself out of a few gray cells. But give every frightened climber, every tired student, every assistant vice president of something-or-other a machine that can cough up polished intelligence on command, and suddenly the room fills with geniuses.
Fake ones.
Not harmless fake, either. Not a guy at the bar saying he once dated a singer from Akron. This kind gets promoted. This kind teaches classes. This kind writes strategy documents and tells other people what to do with their lives.
The boss asks why customers are leaving. The worker asks the machine. The machine finds the pattern in the numbers. The worker walks back in and says, “I noticed something.” That phrase is where the blood starts leaking out of the truth.
I noticed.
No, you didn’t. Something else noticed while you waited.
Maybe you asked a good question. Fine. Good questions matter. I have known men who could not ask a good question if you tied one to a brick and threw it through their windshield. But there is a difference between opening the door and building the house. There is a difference between striking the match and claiming you invented fire.
The defenders will say tools have always been part of work. They will drag out the hammer again, the poor exhausted hammer, beaten to death in every AI argument since the first chatbot learned to sound like a junior consultant.
A hammer doesn’t whisper the blueprint into your ear.
A hammer doesn’t write your report, smooth your transitions, identify your market weakness, draft your apology, solve your algebra, polish your poem, and then sit quietly while you sign the bottom.
A hammer also doesn’t make you believe you are a carpenter after you used it once to hang a crooked picture.
That’s the dangerous part. The lie doesn’t stay outside. It moves in. At first you know you’re stealing. Then you call it collaboration. Then you call it workflow. Then one morning you wake up convinced you really are that sharp, that fast, that clean. Your own bullshit becomes a furnished apartment and you start paying rent.
I saw plenty of this long before the machines arrived. Men at the post office who took credit for routes they never sorted. Supervisors who repeated some clerk’s idea two hours later with a fresh tie and got applause. Poets who stole lines from dead Russians and called it homage. Human beings have always been talented at putting their names on things that came from somewhere else.
But there was friction. Shame had time to catch up. Somebody knew. Somebody remembered. The borrowed line had a smell on it.
Now the smell is gone. The prose is clean. The slide deck shines. The answer arrives with no fingerprints except yours, because the machine has no face to glare at you from across the room.
And maybe that is what everyone likes about it.
The machine will not resent you. It will not ask for credit. It will not tell the bartender what you did. It will not sit in the break room with red eyes while you get the raise. It is the perfect ghostwriter for an age already trained to confuse presentation with substance.
The students are learning it early. Type the assignment, wait, paste, submit. The paper comes back with a grade and nobody has to wrestle with a sentence until it breaks open and reveals what they actually think. The thinking happens offstage. The kid gets the mark. The brain gets softer.
Then that kid becomes the man in the blue polo telling his boss he identified the retention problem.
The companies will make this worse because companies worship outcomes the way dogs worship dinner. If the number goes up, nobody asks whether the soul went down. They will tell workers to use AI, then punish them for admitting how much they needed it. They will demand transparency while building a ladder where every rung rewards concealment.
Say the machine did ninety percent and you did ten, and they may wonder why they need you.
Say you did ninety and the machine did ten, and you become leadership material.
So people lie. Some lie knowingly. Some lie because the truth is inconvenient. Some lie because after enough time with the machine they honestly cannot tell where their thought ended and the autocomplete began.
That last group worries me most.
A conscious thief still knows the shape of the thing he stole. A deluded man turns theft into identity. He stands there in the conference room, glowing with borrowed intelligence, and believes every watt is his.
What happens when the machine is wrong? What happens when the system goes down, the subscription expires, the model changes, the answer gets weird? The office genius has to think with his own meat again. The student has to face the blank page without a ventriloquist. The manager has to admit the elegant analysis came from a box he doesn’t understand.
Maybe nothing dramatic happens. Maybe no civilization collapses because Chad from Customer Success took credit for a churn model. Maybe it just gets a little harder to know who can actually do what.
That is bad enough.
Trust is not built from miracles. It is built from watching someone carry weight. You learn who can handle the load and who just owns nice shoes. The machines are making the shoes nicer. The load is disappearing from view.
At the laundromat, the man in the blue polo finished his call and gathered the little shirts into a plastic basket. His kid asked if they could get fries. The man said yes without looking up.
One of my dryers finally quit spinning. My socks were still damp.
I held one in my hand, limp and warm and not quite ready, and for some reason it felt honest.
Source: People Are Audaciously Taking Undue Credit For AI-Generated Brainy Outputs