Spend five minutes scrolling LinkedIn or Facebook and you’ll notice something strange. Different companies. Different industries. Different audiences. But the posts all look, well, suspiciously similar. Big statement. Short line. Another short line. Maybe an em dash. A rocket emoji. Three hashtags that could apply to literally anything. I’m not anti-AI. I use it all the time. But lately I’ve found myself reading posts and thinking, “There’s no way a human actually talks like this.” AI didn’t create the sameness problem. It just poured gasoline on it. What’s Actually Happening Most AI tools are trained on existing internet content. And let’s be honest, a lot of internet content already sounds formulaic. So when someone types, “Write a social media post about marketing,” the model does exactly what it’s supposed to do. It generates something statistically safe. Clean. Polished. Optimized. Also completely interchangeable. Short dramatic lines Overused formatting tricks Generic motivational tone Emoji added “for engagement” Hashtags dropped in automatically None of that is evil. It’s just predictable. And predictable [...]