Here’s something not many people in the AI space are saying loudly enough:
The more people use AI to create content, the more valuable your voice becomes.
Not because AI is bad. It isn’t. I use it every single day and I teach other people to use it well. But there’s a growing, widening gap between people who use AI as a replacement for their thinking, and those who use it to amplify their thoughts.
And right now? Too many people are outsourcing their originality to AI and the result is a bombardment of content that’s starting to feel like a shopping centre food court. On face value, there’s a lot of choice. But somehow, everything tastes the same.
The Paradox Nobody Prepared You For
When AI writing tools went mainstream, the promise was simple: create more content, faster. And for a while, the tools delivered exactly that.
But here’s what happened next.
Everyone started creating that load of more content, faster. All using the same tools. All pulling from the same training data. All defaulting to the same sentence structures, the same opener formats, the same safe-but-bland LinkedIn tone that strangely manages to say a lot while communicating almost nothing.
Then audiences noticed. They might not have been able to name the ‘ick’, but they feel it… a faint background hum of inauthenticity leading them to scroll past post after post, each sounding like the other.
And scroll past is exactly what they are continuing to do.
📌 The slap-in-the-face truth: Generic AI content doesn’t just underperform. It actively erodes trust. Because when your content reads like it was written by the same ghost as everyone else’s, the implied message to your reader is: I didn’t think this was worth my real attention, and by default my commitment to you is minimal.
What ‘Sounding Human’ Actually Means
I’m going to spell this out here, because the term “humanised” gets thrown around a lot, and it almost never means what people think it means.
Sounding human is not about:
- Adding typos so it looks unpolished
- Using slang or being informal
- Removing all structure and just rambling
- Writing everything manually to prove you didn’t use AI
It’s about this:
When someone reads your content, do they hear you? Your opinions. Your references. The way you pause for effect. The slightly weird analogy that only someone with your background would reach for. The stance you take that nobody else on LinkedIn is brave enough to say it upfront and plainly.
That’s voice. And voice is built from specificity, not spontaneity.
I spent many years as a high school teacher before I moved into copywriting and then AI content strategy. That background completely shapes how I explain things: I default to layering concepts, checking for understanding, building from concrete to abstract. AI would never write that sentence about me on its own. It can’t. It doesn’t know. But if I train it on who I am? It can channel it.
Why This Is Now a Competitive Advantage,Not Just a Nice-to-Have?
In 2021, showing up consistently with content was the goal. In 2023, using AI to produce content faster was the edge. In 2025 and beyond, the master move is doing both… while sounding unmistakably like yourself.
Here’s why this matters specifically for service-based business owners, coaches, and consultants:
Your clients are not buying a deliverable. They’re buying you. Your judgment. Your approach. Your way of seeing the problem they’ve been stuck on for three months.
And the way they decide whether they trust you enough to hand over money? They read your content. Repeatedly. Over time.
If your content sounds like it could have been written by any consultant who paid for a ChatGPT subscription, that trust never builds. Full stop.
But when your content sounds like you – when it carries your specific opinions, your references, your way of breaking something complex into something suddenly obvious – people start saving your posts. Sharing them. Quoting them back to you in DMs. And eventually, they’ll start buying from you.
That is the authenticity premium. And it compounds.
The Three Places Voice Gets Killed in an AI Workflow
I work with many solopreneurs who are already using AI. They’re not beginners. They’re frustrated intermediates, smart businesspeople who know how to use the tool but can’t figure out why the output still sounds wrong.
Every single time, the problem lives in one of three places.
1. The prompt has no personality in it
You can’t give AI a blank brief and expect it to sound like you. Prompts like “write me a LinkedIn post about productivity” are an instruction to produce the average of everything ever written about productivity. Which is exactly what you get. Try it, and you’ll see I’m right.
2. There’s no voice training layer
AI is not psychic. It doesn’t know you despise corporate jargon, that you use circus analogies instinctively, or that you’d rather take a firm stance and be wrong than write a hedge disguised as nuance. Without a proper voice framework – one that captures your patterns, your opinions, your stylistic quirks – the model defaults to the middle. The middle is beige. And beige, being boring, does not convert.
3. The editing stage is skipped
Even with a solid voice framework and a strong prompt, the first draft needs you. Not a full rewrite, a discerning copyedit. The moment where you read it out loud, hear where it sounds like a LinkedIn committee wrote it, and fix it. That review is where your voice reattaches. Skip it and you’re publishing AI’s interpretation of you, not you.
What Fixing This Actually Looks Like
The fix is not “use AI less.” Please. I’m not here to sell you on writing everything by hand at 11pm, after twelve cups of increasingly strong coffee.
The fix is building a content system where your voice is baked into the infrastructure, not bolted on as an afterthought.
That means:
- A voice training document that captures your patterns, preferences, and personality – not a generic style guide, but something actually built around how you think and write. The kinds of things you do say, and what you most certainly would never.
- Prompts designed around your specific offer and your specific audience’s language – not copy-paste generics from a prompt library someone sells on Etsy
- A weekly content workflow that moves from strategic research to finished assets, with your voice threaded through every stage
- A light editing habit that takes five minutes and makes the difference between “sounds like AI” and “sounds like her”
This is precisely what the Hey There Humanoid membership is going to be built around. Not monthly tip sheets and not vague prompt banks. A monthly content infrastructure drop – strategic research, voice-aligned assets, practical systems, all designed so you can show up consistently without starting from scratch every single week.
The Window Is Still Open. But It Won’t Be Forever.
Right now, most people are still getting away with generic AI content because the bar is low. But audiences are growing tired of it, and recalibrating. Fast.
The business owners who build their voice into their AI workflow now, before it becomes a survival skill rather than an edge, will have a history of content that stands out almost by default. Because they did the work before it was obvious.
Your voice is not a soft skill. It is your primary differentiator in a market that’s becoming flooded with content that sounds exactly the same.
Protect it. Train it. Systemise it.
