Real news, real insights – for small businesses who want to understand what’s happening and why it matters.

By Vicky Sidler | Published 23 May 2026 at 12:00 GMT+2
Have you ever found yourself on a rare, blissful vacation, sitting in a sleepy coastal town like Port Alfred, ignoring your "perfectly optimized" smartphone to read a blurry, local newspaper about a cupcake fundraiser?
I picked up a copy of The Announcer somewhere in the middle of a week away in the Eastern Cape, a place where the afternoon moves at the pace of a heavily sedated tortoise. The paper is modest, to put it kindly. Some of the photos are a bit blurry. There is coverage of croquet clubs, dance school performances, and a "Cupcakes for Cancer" drive at the local mall. There was even a letter from a boxing academy trainer thanking a café and a printing shop for their support, mentioning how his boxer knocked out an opponent in nineteen seconds.
I read every single word. And I don’t say that as a curiosity; I say it because I can’t remember the last time I read an entire piece of online content without having fourteen other tabs open and a sense of impending doom.
As a StoryBrand Certified Guide, I spend my life begging businesses to stop acting like unfeeling machines and start acting like human Guides. We are currently drowning in a digital landscape filled with "perfect" AI-generated content that no one actually wants to read.
Let’s rip apart why your brain instinctively hates "competent" writing, why a blurry photo of a cupcake drive is more effective than your 4K stock imagery, and how to use the "boxing trainer" method to make your brand undeniably human.
Research by Raptive shows that consumer trust drops by nearly 50% when an article feels AI-generated, regardless of how "elegant" or "correct" the writing is.
AI writing suffers from being "Wikipedian"—a product of safe bets and statistical averages that lacks the specific, gritty texture of a real person (according to the Boston Globe).
Specificity is the ultimate weapon: readers don't trust polished prose; they trust writing that names actual names, actual numbers, and actual moments.
👉 If your brand sounds like a statistically averaged chatbot, you are training your customers to ignore you. You must establish secure, undeniable human authority. Download the 5-Minute Marketing Fix to craft a powerful StoryBrand One-Liner that standardizes your brand message, giving you a scalable, repeatable way to earn trust that no algorithm can replicate.
What A Small-Town Paper Reminded Me About Why Writing Actually Works
Why Does Your Brain Secretly Hate "Perfect" Writing?
Is Your Content Accidentally Nuking Your Customer Trust?
How Does A Small-Town Boxing Trainer Out-Market Your Entire Team?
Can Your Brand Survive The "Great Flattening" of Information?
1. Why Starbucks Just Fired Its Robots (And Why Your Brand Needs To Humanize Now)
2. Why Your AI Assistant Keeps Forgetting Your Instructions (And How To Fix It)
3. ChatGPT Is Now Shoving Ads Into Your Prompts (And Why Marketers Hate It)
4. Why Meta Is Entering Its "Zombie Era" (And How To Avoid The Same Fate)
5. Why Buying A Sports Jersey Is Now A Cybersecurity Nightmare (And How To Protect Your Brand)
1. Does AI content actually hurt my brand's trust?
2. What is "Wikipedian" style writing?
3. Why is specificity so important for marketing?
4. What is "vernacular journalism"?
5. How can small businesses compete with AI-generated content?
Because here is the truly frustrating thing about AI writing: it isn’t actually "bad" in the way we expected—it is just catastrophically boring.
AI knows when to use a comma. It structures an argument with the precision of a Swiss watch. It delivers a call to action. By every technical measure, a chatbot often outperforms a human writer who hasn't fully mastered their craft. And yet, as a report in the Boston Globe pointed out, AI style is "Wikipedian: everyone and no one at the same time." It is technically correct, but it is a product of "safe bets," statistically assembled from the average of everything rather than the particular perspective of anyone.
It is the linguistic equivalent of an airport hotel room: clean, functional, and so aggressively beige that you forget you were even there the moment you step out the door. When you give someone a compliment that is technically accurate but feels empty, they know. Your readers are the same. They feel the lack of a gesture. They feel the absence of a person behind the words, and they are reacting with a level of hostility that should make every corporate CMO spontaneously combust.
Because if you think your audience is "fine" with your automated blog posts as long as the information is accurate, you are ignoring a mountain of terrifying research.
A study by Raptive found that trust drops by nearly 50% when an article feels AI-generated—even when it isn't. According to Adweek, 82.1% of readers say they can identify AI content, and when they do, their opinion of the brand drops significantly. Among the 45-to-65-year-old demographic—the people who actually have the money and the authority to make B2B decisions—nearly 30% actively dislike AI-generated content.
The Nuremberg Institute for Market Decisions (NIM) even found that when an ad is described as "AI-made," consumers evaluate it more negatively across the board. They find it less "natural," less "useful," and they are significantly less likely to actually buy the product. The content of the ad didn't change; only the perceived origin did. People aren't looking for the most "competent" answer; they are looking for evidence that a human was paying attention.
Because the letter in The Announcer had something your slick corporate PDF never will: it had the gritty, unpolished texture of a real person who sat down and thought carefully about what needed to be said.
The trainer thanked specific businesses by name—this cafè, that hotel, that printer. He wrote about taking kids away from drugs and alcohol simply and without embarrassment. It wasn't "balanced" or "symmetrical." It was specific. Research on credibility is remarkably consistent: readers don't trust polished prose; they trust specific prose. As noted by TechWriteable, specificity creates recognition, and recognition creates the connection that keeps people opening your emails.
AI writing tends toward the general. It says "many small businesses face challenges with cash flow." A human writer says, "I had R12,000 in the account and invoices due in three weeks... Here is what I did." The first sentence is a safe bet. The second one makes you lean forward. If your writing is too neat and too symmetrical, it loses believability. You lose the "presence" that makes people come back.
Because if you are pumping out high-quantity, low-presence content, you aren't building an audience; you are just contributing to the noise.
Journalism scholars describe this as "vernacular journalism"—content focused on the everyday lives and proximate preoccupations of ordinary people. The reason The Announcer is worth reading is that it provides evidence of presence. The fact that someone showed up to that cupcake drive, took a blurry photo, and printed it is proof that someone was paying attention to this specific place and these specific people.
That quality—having actually been there—is what no amount of AI efficiency can replicate. Not because the AI can’t produce the words, but because the words are not the point. The point is the attention behind them. In a B2B sales cycle that stretches over months, your vague, smooth emails are communicating that you are "anyone." And "anyone" is the first person to be replaced when the budget gets tight.
You must stop hiding behind your tools. The most effective content you can produce is writing that could only have come from you. Mention the specific problem your client had. Mention the thing that went wrong before the thing that went right. Get my 5-Minute Marketing Fix. It helps you use your actual human brain to craft a StoryBrand One-Liner with the slight imperfection and raw specificity of a person who has actually lived through something. Prove to your customers that you are a genuine Guide who is paying attention, rather than a system that has just learned to describe it.
👉 Stop being "anyone." Download the fix now.
Starbucks realized that efficiency does not equal loyalty. Discover why the coffee giant is ditching automation to hire more human baristas to save their brand experience.
AI lacks the persistent memory of a human partner. Uncover the reality of "Context Rot" and why building a business on forgetful algorithms is a massive operational risk.
If you think AI writing is generic now, wait until it starts selling you things. Read why OpenAI’s new advertising model is a deeply flawed nightmare for brand trust.
When you prioritize scale over human connection, your platform starts to rot. Discover why Facebook is entering its lifeless decline and how to protect your brand from the same fate.
Trust is fragile. Read how the rush to digitize fan engagement has caused a 112% spike in cyberattacks, proving that corporate tech often ignores human safety.
Yes. Research from Raptive and NIM consistently shows that when content is perceived as AI-generated, trust drops by up to 50%. Consumers find AI content less natural and less useful, leading to lower purchase intent.
The Boston Globe coined this term to describe AI writing that is technically correct but feels like it was written by "everyone and no one at the same time." It relies on statistical "safe bets" rather than a unique, human perspective.
Specificity creates recognition and connection. When you name actual names, numbers, and moments, you prove "presence"—the evidence that a human was actually paying attention to the specific problem at hand.
This is content focused on the everyday lives and preoccupations of a local community. It succeeds because it is highly specific and proximate, providing proof that someone is invested in a specific group of people.
By leaning into their humanity. Small businesses should write with the "boxing trainer" method: mention specific clients, specific failures, and specific results. AI can describe a situation, but it can never prove it was actually there.

Created with clarity (and coffee)