Blaming AI for Bad Content? You're Missing the Real Problem
It's frustrating, isn't it?
You search for a real answer and land on a page of generic fluff.
It feels hollow, useless, and you immediately think, "Ugh, another AI article."
But what if we're pointing the finger at the wrong culprit?
The internet doesn't have an AI problem.
It has a low-quality problem.
The web is filled with people talking about things they know nothing about, and AI has simply become the new favorite tool for doing it faster.
Think about it this way.
Would you take medical advice from a quack just because they bought a state-of-the-art surgical robot?
Of course not.
The most advanced tool in the world is useless—and even dangerous—in the hands of someone without the delicate expertise to use it properly.
And that expertise doesn't come from a certificate on the wall; it comes from experience too.
Imagine two articles on "how to choose the right hiking boots."
One is created by a marketing intern who has never set foot on a trail, using AI to scrape and rewrite existing articles.
The other is written by a seasoned hiker with thousands of miles of experience, who uses AI to organize their hard-won knowledge and polish their thoughts.
The first is noise. The second is genuinely valuable.
The issue isn't the text the AI generates.
It's the intent and actual experience behind it.
So, the next time you land on a low-quality article, don't just blame the robot.
Look for the human behind it.
Lived experience is the signal.
Everything else is just noise.