The question drops into the team’s public Slack channel at 3:15 PM. It’s from your tech lead. "Hey, quick gut check—for the new notification service, are we thinking WebSockets or long polling? There are performance trade-offs either way."
You’re juggling three other things. You don’t have an immediate, deep answer. So you do what feels efficient. You copy her question, paste it into ChatGPT, and get a beautifully structured response comparing the two protocols. It looks smart. It sounds right. You paste it back into the channel.
A beat of silence.
Then, a reply from the tech lead: "Right, thanks. The main issue for us is our current gateway doesn't support persistent connections well, so WebSockets would mean a bigger lift from the platform team. Let's stick with long polling for the MVP."
She wasn’t being rude. But the message was clear. You gave a textbook answer. She needed a contextual decision. You saved yourself five minutes of research but spent a thousand dollars of your credibility.
You Didn't Outsource the Answer. You Outsourced Your Judgment.
Using an AI to quickly answer a question feels like a productivity hack. It’s not. It’s an abdication of your core responsibility as a product manager. Your team doesn’t need you to be a human search engine. They need you to apply judgment to a specific set of problems inside a specific company with a specific tech stack.
When you paste a generic AI response, you broadcast three dangerous signals:
- "I don't have the context." The AI doesn't know about the tech debt in your monolith, the strategic pivot your CEO announced last quarter, or the fact that your lead mobile engineer is about to go on parental leave. Its answer is, by definition, context-free. Your value is your context.
- "This isn't my voice." Your team knows how you communicate. They know your shorthand, your tone, the way you structure an argument. The slightly-too-perfect, slightly-too-formal prose of an AI is uncanny. It creates a subconscious disconnect, making them wonder if you even wrote it, let alone believe it.
- "I'm not accountable for this." A pasted answer has no ownership. If the information is wrong or the recommendation is flawed, who’s at fault? The algorithm? By acting as a simple conduit for a machine
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