Your systems expect certainty. AI doesn't provide it.
They approved the budget. They didn't understand the words.
The algorithm works fine. The organization doesn't.
It's just pattern matching with a confidence score.
Different architectures, same disappointment in production.
The model read the words. It missed everything else.
Asking more often doesn't mean you're listening better.
The system is working. It's just not working for you.
The numbers say we're fine. The numbers always say we're fine.
88% accuracy means someone gets fired by mistake.
Every communication channel breaks it in its own special way.
It classifies text. Everything else is marketing.
'The data said people were fine' is the new 'nobody told me.'
Accountability means finding who to blame, not what to fix.
You own the outcome but not the decision. Good luck.
Goodhart's Law has never had a better example.
72.4% positive. Looks precise. Means almost nothing.
Your model was trained in 2023. The world moved on.
You filed the update. That's not the same as owning it.
They didn't ask who owned it until it failed.
It worked when there were twelve of you. Now there are twelve hundred.
People follow the money, not the memo.
The person who ships gets less credit than the person who pitched.
It's not a communication problem. It's a structure problem.
The project was dead on arrival. The kickoff just hadn't happened yet.
Your strategy looked great until reality got a vote.
You have five priorities, which means you have zero.
Cut the glue and watch the pieces fall.
The glue holds things together until it starts slowing them down.
Their real job is absorbing dysfunction so you don't have to.
