13/04/2026
I recently came across a heated discussion advocating for a ban on AI-generated content and comments on LinkedIn. The argument was that we are drowning in synthetic noise and that creators should be forced to tag AI-generated posts so users can filter them out if they don't want to consume AI-generated content.
I get the frustration. We are all seeing more polished, more structured, and more suspiciously perfect wording everywhere. It can feel hollow.
But I think we are pointing the finger at the wrong thing. Is the issue really AI, or is it how we’re choosing to use it?
For many, AI isn’t a way to bypass thinking. It is an accessibility tool.
I have met so many brilliant people who struggle to get their thoughts onto the page. Not because they lack insight, but because the act of writing, of turning a complex idea into a clear paragraph, is a massive barrier for them.
Think about it:
-It helps someone with ADHD get their thoughts in order.
-It helps people writing in their second or third language communicate with confidence.
-It helps busy professionals finally share ideas that would otherwise stay stuck in their heads.
That is not a problem. That is progress.
And let’s have a bit of perspective here. If we are genuinely worried about the risks of AI, does policing LinkedIn posts really deserve to be at the top of the list?
We live in a world where faces are being swapped in videos, voices are being cloned, and massive misinformation campaigns are being automated in real-time. That is where the real danger lies. Trying to fight against someone using a tool to tighten up a paragraph or draft a comment feels like tilting at windmills.
If we go down the route of tagging, reporting, and algorithmically punishing AI content, we aren’t solving a problem. We are just creating a new one. We risk punishing people who are simply using technology to show up and be heard.
Whether an idea was refined by a human, an AI, or a combination of both, it is the quality and the intent that matter most.
What do you think? Are we overthinking the AI label, or is there a line we need to draw?