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Does polished content still win on LinkedIn? One of the biggest business creators in the world just answered that question with his own feed. Steven Bartlett's company FlightStory stopped using AI to write his LinkedIn posts after engagement dropped, and the team now deliberately leaves occasional spelling mistakes in to signal that a human wrote them. Reach and audience response improved. My answer is the one I have been giving clients for two years. Proof beats polish, and the market just confirmed it at the very top of the creator economy.
The quote worth reading twice comes from FlightStory's director of business development, Christiana Brenton, as reported by dev.ua from Business Insider's coverage: "AI mistakes are really noticeable. When the world wobbles to the left, opportunity lies to the right. What will stand out on LinkedIn now more than ever? Real words written by a human." According to the same report, the team does not even specifically correct occasional spelling mistakes. This is a team whose entire business is audience. They tested machine-written content at scale, watched the numbers drop, and reversed course in public.
This matters most if you are a founder running personal-brand content to open doors, an agency owner between $200k and $2M in revenue whose deal flow depends on being visible, or a ghostwriter charging $5k to $30k per month who has to decide what the deliverable actually is. All three groups have spent years being told that professional means polished. One of the most expensive content operations in the business just bet the other way.
This is not for everyone. If you run a corporate brand account where every post clears legal review, your constraints are real and typos are not an option for you. If you are still selling clients on flawless-looking content as the core deliverable, this article will not change your model. It will only explain why your renewals keep getting harder.
Why imperfect LinkedIn posts outperform polished ones
The mechanism is scarcity. When a feed fills up with machine-written posts, perfection becomes the most common texture on the platform. Every paragraph lands with the same rhythm, every hook follows the same template, every sign-off feels focus-grouped. In that environment, the signals of a human hand moving fast, an odd phrase, a specific detail, an uncorrected typo, become rare. Rare signals get noticed. Trust follows attention, and on LinkedIn trust is the entire game, because the reader is not buying entertainment. They are deciding whether you are worth a conversation.
But the typo is not the strategy, and this is where most people will take the wrong lesson from the Bartlett story. Nobody should start planting spelling mistakes on purpose and call it positioning. The typo works for Bartlett because it is evidence of something true, that he or his team wrote the post at speed with a real thought in hand. Fake evidence reads as fake eventually.
The durable version is what I call the Fingerprint Rule. Every post has to carry at least one marker that only the author could have produced. A number from their own operation, like a retainer that renewed at month 14. A phrase they actually say on client calls. An opinion that costs them something to hold. A story with details no generic writer would invent. If a post could have been written by any competent marketer with a prompt, it has no fingerprint, and no amount of polish will save it. Bartlett's typos are just the celebrity version of a fingerprint.
What the Fingerprint Rule means for ghostwriters and content teams
For ghostwriters and content teams, this inverts the job description. The old deliverable was laundering a founder's rough thinking into professional prose. The new deliverable is the opposite, protecting the founder's actual voice from the professionalizing instinct. In my own work that means the process starts with capture, voice notes, call recordings, the way a founder explains a problem when nobody is watching, and the writing serves that raw material instead of replacing it. A 3 person content team that captures well will beat a 10 person team that polishes well, because capture is where the fingerprints come from.
It is also why I push founders toward positioning as practitioners first, because practitioner content generates fingerprints naturally. You cannot fake the details of work you actually did this week. A founder with 5,000 engaged followers and visible fingerprints will out-earn a founder with 50,000 followers of template content, because the first audience believes what it reads.
The strategic implication runs deeper than one creator's tactics. If the most sophisticated content operations are now optimizing for evidence of humanity, polish has flipped from asset to liability, and every agency selling polish as the product is holding depreciating inventory. Over the next year, feeds will get more machine-made, not less, which means every human fingerprint in your content appreciates. The founders and teams who let the real voice through, imperfections included, are building a trust position that gets more valuable with every AI post that ships around them.
