SOCIAL MEDIA
I’m going to say something controversial: LinkedIn was more useful three years ago.
Not because the platform’s features were better — they weren’t. Not because the network was smaller — that’s rarely an advantage. But because the content was more reliably human. When someone posted, you had reasonable confidence that the text had been written by the person whose name was on it, reflecting something they’d actually thought.
That confidence has largely gone, and AI is the reason.
The Volume Problem
The economics of AI content creation on LinkedIn are irresistible if you’re optimising for visibility. A well-prompted AI can produce a dozen “thought leadership” posts in the time it would take a human to write one. Those posts can be polished, engaging, and entirely empty of original thought. And on a platform where the algorithm rewards consistency and engagement regardless of authenticity, they perform.
“The algorithm rewards consistency and engagement regardless of authenticity. AI has found that gap and driven a truck through it.”
The Trust Problem
The deeper issue is what this does to trust. If you can’t reliably tell whether a post was written by a human, you can’t reliably assess whether the person behind it actually holds the views expressed, has the experience claimed, or is worth paying attention to. The entire value proposition of professional networking — connecting with real people who know real things — starts to erode.
What You Can Do
Be more human, not less. Write shorter posts. Make specific, falsifiable claims. Reference actual experiences, including failures. Ask genuine questions rather than making pronouncements. The AI content wave is real, but it has an obvious weakness: it cannot be genuinely specific about your actual experience. That specificity is your differentiation.
Tags: Artificial Intelligence • Opinion • Technology & Society • 192.168.1.22/