Do not index
Why is Substack, a competitor with no obligation to comment on LinkedIn at all, spending public attention this month calling LinkedIn a slop platform? Because it works as a positioning move, and the data backs it up. Substack partnered with AI detection company Pangram, whose research crowned LinkedIn the most AI-saturated platform on the open web, and Substack co-founder and CEO Chris Best said publicly on X, "We're sick of slop and we don't want substack to turn into LinkedIn." My take is that this is not a signal to leave LinkedIn or write more cautiously. It is the clearest evidence yet that the slop wave is a distribution gift for anyone who never stopped writing like an actual person.
Here is the mechanism. When a platform gets flooded with interchangeable AI-polished posts, readers do not get better at spotting the fakes one at a time. They get faster at pattern-matching an entire category as suspicious, and every post that clears that suspicion by sounding specifically, recognizably human gets a disproportionate share of attention. I see this daily in client accounts. Posts that would have blended into the feed eighteen months ago now stand out simply because they read like one person's actual thinking rather than a template filled in with a new topic.
This is for founders running personal-brand content between roughly 5,000 and 50,000 followers who are frustrated that their engagement has flattened even though their posting has not slowed down, and it is for ghostwriters and small agencies charging $5k to $30k a month who need a concrete argument for why the client's specific voice is worth protecting instead of optimizing into something safer and more generic. It is also for agency owners in the $200k to $2M revenue range trying to decide whether to compete on volume or on distinctiveness as the perception problem around LinkedIn content gets louder.
This is not for anyone chasing a viral hook formula regardless of whether it sounds like the person posting it. If your content strategy is built around templated openers and trending structures rather than a specific point of view, the slop panic will hurt you, not help you, because your posts are exactly what readers are now trained to scroll past. Skip this if you are still measuring success by short-term reach spikes instead of whether the same readers keep coming back to a recognizable voice.
What The Authenticity Arbitrage Actually Rewards
What I call the Authenticity Arbitrage is the temporary but real advantage that opens up whenever a platform's perceived quality drops faster than its actual usage. LinkedIn is not losing users. It is losing trust, and trust and usage do not move on the same timeline. Readers still open the app, they just open it more skeptically, which means the bar for a post to earn a full read has gone up even as the bar for simply getting impressions has stayed the same. Writers and founders who understand this gap early capture attention that used to be split evenly across a feed full of similar-sounding posts.
Agencies sitting at the $200k to $2M mark are the ones most exposed to this shift, because they are large enough that clients expect consistent output but not yet large enough to run every post through a full editorial team. A 3 person agency producing 40 to 60 posts a month across clients cannot proofread every sentence by hand, so the instinct is to lean on AI tools to hold quality steady at scale. That instinct is not wrong, it is just misapplied. The tools belong in research assembly and structural editing, not in generating the sentence a client is supposed to have said.
I have watched this play out with client accounts directly. A founder client who writes in a distinctly blunt, sometimes self-deprecating register saw comment rates roughly double over a stretch this year while nearby accounts using more polished, generically confident language saw theirs flatten. The difference was not topic or frequency. It was that one voice was unmistakably a specific person and the other could have been generated by any competent writer with the same prompt. This is the same argument I make when I talk about how founders should position on LinkedIn as practitioners first, because a practitioner voice is nearly impossible to template convincingly, and that is exactly what makes it valuable right now.
The Authenticity Arbitrage will not stay wide open indefinitely. As detection tools improve and platforms like LinkedIn build reach penalties directly into the algorithm, the market will eventually reprice voice work at something closer to its real value, and the gap between what a distinctive voice earns and what a generic one earns will start to close from the top rather than the bottom. Founders and agencies who are still treating voice as a nice-to-have rather than the actual product are spending this window subsidizing the accounts that already figured it out. The ones building real editorial discipline into their content process now are not just protecting engagement this quarter. They are positioning themselves for the version of LinkedIn that exists after every competitor has been forced to catch up.
