The Unoptimised Human — The Competence Trap

Why doing things well has never been more dangerous

There is a paradox at the centre of modern marketing, and it has been bothering me all month.

We have never had more tools to produce competent work. AI can write copy that passes the grammar check. It can generate images that look professional. It can optimise headlines, segment audiences, and schedule posts with a precision that would have required a team of three a decade ago. The output is polished. The metrics look healthy. The quarterly review goes fine.

And yet.

Something is going wrong, and most brands cannot feel it yet. The competence itself has become the problem. When everyone has access to the same tools, the same models, and the same optimisation logic, the result is not a rising tide of quality. It is a rising tide of sameness. The brands that look most professional are starting to look most alike, and the consumers who notice are beginning to tune out.

This month on The Unoptimised Human, I have been pulling at that thread from different angles: attention, brand identity, decision-making, communication. They all lead back to the same uncomfortable conclusion. The competitive advantage in an AI-saturated market is not competence. It is the thing competence cannot replicate.

Here is what I wrote about it.

📌 Attention Architecture: Emotionally Intelligent AI

The month’s most ambitious piece, and the one I would most like the AI labs to read. In 2017, Google published “Attention Is All You Need,” the paper that gave us the transformer architecture behind every major language model today. But the title was only half right. Attention is necessary. It is not sufficient. We taught machines to process information. We never taught them what to notice, what to ignore, or why it matters. This piece proposes a new direction: emotionally intelligent AI that does not just attend to tokens, but understands the emotional architecture beneath them. If you work in AI, this one is for you.

🔗 Read it here

📌 “Competent Beige”: When AI Optimises the Soul Out of Your Brand

I was scrolling LinkedIn and saw three posts from three different brands in completely different sectors. They could have been written by the same person. Same rhythm. Same safe, balanced tone. Same vaguely inspirational sign-off. Polished, professional, and utterly forgettable. I gave it a name: Competent Beige. It is what happens when AI optimises for engagement metrics and the output converges on the same safe middle. The research backs it up. 54% of Americans report AI fatigue. The brands that survive will be the ones that refuse to blend in.

🔗 Read it here

📌 The Vibe Marketing Paradox: Technical Competence Without Brand Intelligence

The “vibe coding” moment has been one of the most interesting cultural shifts in tech this year. Someone with no engineering background prompts an AI to build functional software. The code runs. The product ships. But if you do not understand why it works, what happens when it breaks? The same question applies to marketing, and almost nobody is asking it. AI-generated content that looks right is not the same as content that works. Technical competence without brand intelligence is a liability disguised as an efficiency.

🔗 Read it here

📌 Action Bias: The Fallacy of “We Have to Do Something”

Every football fan has watched a goalkeeper fling themselves dramatically to one side during a penalty, only to see the ball roll gently into the opposite corner. It looks like poor judgement, yet these are elite professionals. The problem is not skill. It is action bias: the deep psychological need to do something, even when doing nothing would produce a better outcome. Marketing teams fall into the same trap constantly. The most dangerous phrase in a strategy meeting is not “we are losing.” It is “we have to do something.” Sometimes the bravest move is to hold your position.

🔗 Read it here

What I’m Watching

The EU AI Act deadline passed on 2 August. Article 50 is now in full application, and the regulatory landscape for AI-generated content just changed permanently. Brands using AI for customer-facing content need to understand what disclosure requirements now apply, and what the research says about how consumers respond to AI-labelled content. Early signals suggest transparency builds trust, but only if the content behind the label is actually worth trusting. I wrote about this just before the deadline hit, and the implications are only becoming clearer.

The “competence convergence” is accelerating. Two separate pieces of research crossed my desk this month showing that AI-generated marketing content is becoming statistically indistinguishable across brands. Not similar. Indistinguishable. The tools are getting better, which means the differentiation problem is getting worse. The brands that win the next twelve months will be the ones that figure out what AI cannot do: have a point of view, hold a position, and mean something specific to a specific audience.

The Question

Here is what I keep coming back to.

If AI can produce competent output at scale, and competence is now the baseline rather than the advantage, then what is the thing that actually differentiates? Not in theory. In practice. In the meeting on Monday morning when someone says “the AI draft looks fine, let’s just ship it.”

What is the moment you push back? And what are you protecting when you do?

I would genuinely like to know. Drop a comment or send me a message. The best conversations this month have come from people who disagreed with me.

David Chadderton spent his twenties and thirties teaching people how to make life-or-death decisions at forty thousand feet. He now applies the same principles to consumer psychology, which, depending on the brief, can feel equally high-stakes. He’s the creator of the STAR Framework and the author of The STAR Framework: Rewriting the Rules of Consumer Engagement (NYC Big Book Award 2025), The STAR Operating System: Decode Mindset, Understand Motivation, Transform Human Behaviour, and Dear Algorithm, It’s Not Me, It’s You. By day, a Chief Marketing Officer. By night, a behavioural science obsessive who writes The Unoptimised Human because he can’t stop thinking about why people do what they do.