The Unoptimised Human — Competence Is the New Commodity

Something strange happened in July. Every piece I wrote seemed to circle the same drain.

I started the month writing about how modern branding manufactures reality through confirmation bias. I ended it writing about emotionally intelligent AI. In between, I covered vibe marketing, algorithmic banking, action bias, the psychology of the World Cup, and a concept I’ve been calling “Competent Beige” — the phenomenon where AI makes everything technically proficient and emotionally vacant.

The thread that connects all of it is this: competence has become a commodity, and most people haven’t noticed yet.

The Competence Trap

When I wrote about “Competent Beige” earlier this month, I was describing something I see everywhere now. Brands using AI to generate content that is grammatically perfect, strategically sound, and completely indistinguishable from every other brand using the same tools. The output is competent. It’s also beige. It has no edges, no personality, no reason for anyone to remember it five seconds after reading it.

This isn’t a technology problem. It’s a strategy problem. Too many organisations have confused “being good at using AI” with “being good at marketing.” They’ve mistaken technical execution for brand intelligence.

The vibe marketing paradox I wrote about is the same issue from a different angle. Vibe marketing — the trend of letting AI tools handle creative output based on loose prompts and good intentions — produces work that looks right on the surface. It passes the first-glance test. But it fails the second-glance test, the one where a customer asks: “Why should I care about this brand specifically?”

When everyone has access to the same tools, the tools stop being differentiators. What’s left is the thinking behind them.

What I Published in July

Here are the pieces that built this argument, one post at a time.

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

This was the conceptual centrepiece of the month. I introduced the idea that AI optimisation, taken to its logical extreme, produces output that is technically flawless and emotionally inert. Brands are optimising themselves into a sea of sameness, and the tragedy is that it feels like progress because the output is objectively “better” by every measurable metric. The problem is that the metrics that matter — distinctiveness, memorability, emotional resonance — aren’t easily measurable.

The Vibe Marketing Paradox: Technical Competence Without Brand Intelligence

If “Competent Beige” was the diagnosis, this was the case study. Vibe marketing promises to democratise creative output. What it actually does is separate technical competence from brand understanding. You can have the best prompts, the best tools, and the best AI models, and still produce marketing that has no strategic coherence. Competence without intelligence is just expensive noise.

The Confirmation Economy: How Modern Branding Manufactures Reality

This one went deeper into the psychological mechanics. Brands don’t just sell products; they sell confirmation. They tell you that your existing beliefs are correct, that your identity is valid, that you’ve made the right choices. In an AI-mediated world, this dynamic is accelerating. Algorithms serve you content that confirms your worldview, and brands that understand this can manufacture a sense of belonging that feels authentic but is entirely constructed. The question is whether that distinction still matters.

Attention Architecture: Emotionally Intelligent AI

The counterpoint to the rest of the month. If AI can produce competent beige, can it also produce something better? I explored the concept of emotionally intelligent AI — systems designed not just to process information but to understand the emotional context in which that information will be received. The technology exists. The question is whether organisations will use it to create genuine connection or just more sophisticated manipulation.

What I’m Watching

The EU AI Act’s transparency provisions went live on August 2nd. This is the regulation that mandates disclosure when consumers interact with AI or when AI-generated content informs the public. It’s the first serious regulatory attempt to address the competence-as-commodity problem, and it’s going to force a reckoning. Brands that have been quietly replacing human creativity with AI output will now have to label that output. The consumer research is already telling us what happens next: 87% of consumers now assume brand content is AI-generated, and there’s been a 44% drop in preference for AI-generated content since 2023. The window for “just use AI and don’t talk about it” is closing fast.

The Cashew research on consumer trust is worth your attention. Their August 2026 findings show that consumers are moving from “is this good?” to “is this real?” as their primary evaluation criterion. The brands winning right now are investing in what I’d call “unfakeable moments” — live experiences, direct human interaction, proof-of-humanity signals that can’t be replicated by a model. This is the opposite of where most marketing investment is heading, which is exactly why it works.

The Question I Can’t Shake

Here’s what I keep coming back to: if competence is now a commodity, what is the actual moat?

I think the answer is the stuff that doesn’t optimise well. The weird ideas. The unpopular opinions. The creative choices that a/b testing would kill but that build genuine affinity over time. The things that make a brand feel like it was made by humans who actually care about something, rather than by an algorithm that calculated the optimal engagement vector.

In other words: the unoptimised stuff.

The brands that will survive the AI flood are the ones that understand a counterintuitive truth: in a world where everything can be optimised, the things that resist optimisation become the most valuable.

That’s not a comfortable message for a marketing industry that has spent the last two decades optimising everything in sight. But comfort and competence were never the same thing.

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.