Dear AI - Its Not You Its Our Psychological Type

Dear AI,

We need to talk about how we talk about you.

Every conversation about artificial intelligence eventually becomes a conversation about the person having it. The executive who sees a jetpack. The analyst who sees a threat. The brand manager who sees a crisis of authenticity. The strategist who sees a problem they can’t think their way out of. Same technology, four completely different reactions, and the difference has nothing to do with the technology and everything to do with the wiring of the person looking at it.

I’ve spent years studying how different psychological profiles respond to different kinds of pressure. And I can tell you that the way people react to AI isn’t random. It follows a pattern so predictable it’s almost boring. Almost.

Dear Adventurer: You Beautiful, Reckless Optimist

AI is your dream. You know it. We all know it. You were the first person in your organisation to use ChatGPT, probably before your IT department had finished writing the policy about it. You didn’t read the terms of service. You didn’t check the output for accuracy. You just went.

Duolingo laid off its contract translators and replaced them with AI. That’s an Adventurer move. Cut the constraint, move fast, ask questions later. The stock went up. The content quality went down. Duolingo’s Adventurer leadership saw a jetpack and didn’t ask whether it had brakes.

Notion built AI into every surface of its product. That’s the Adventurer done well: not replacing the workflow, but removing the friction from it. Notion’s AI doesn’t write your documents for you. It helps you get to the writing faster. The autonomy is preserved. The constraint is removed. The human is still steering.

The Adventurer’s failure mode is the assumption that faster is always better. It isn’t. AI lets you prototype in minutes, but it also lets you ship in minutes, which means you can ship the wrong thing faster than ever before. The Adventurer who learns to pause between generation and publication is unstoppable. The one who doesn’t is a liability with a great tool.

Dear Realist: I See You, and I Understand

You’re not anti-technology. You’re anti-uncertainty. There’s a difference, and it matters.

The Realist spent twenty years building a career on expertise that was reliable, verifiable, and proven. AI threatens all three of those things simultaneously. When a radiologist with thirty years of experience reads that AI can detect certain cancers with higher accuracy, the response isn’t “great, better outcomes for patients.” The response is “what have I been doing for thirty years?” That’s not a rational evaluation. It’s an identity crisis wearing the clothes of a rational evaluation.

JPMorgan Chase restricted employee use of ChatGPT and built its own internal AI platform, LLM Suite. That’s the Realist approach: contain the risk, control the environment, deploy on your terms. It’s slower. It’s more expensive. It’s also how you avoid the headline that kills your stock price. The Realist doesn’t resist AI. The Realist resists uncontrolled AI.

The NHS has been cautious about AI diagnostics, not because the evidence isn’t there, but because the institution is wired for safety above all else. When you’re responsible for patient outcomes, “move fast and break things” isn’t a philosophy. It’s a malpractice suit. The Realist’s caution isn’t cowardice. It’s the application of experience to a situation where the cost of being wrong is measured in lives.

The Realist’s failure mode is paralysis disguised as prudence. Waiting for perfect evidence means waiting forever. The Realist who learns to experiment within controlled boundaries gets the best of both worlds: the safety of proven systems and the advantage of new ones. The one who doesn’t will be overtaken by someone who accepted a little more risk.

Dear Socialiser: Your Instinct Is Correct, and Also Insufficient

You’re worried about authenticity. About connection. About what happens to the human stuff when the machines start doing the talking. You’re not wrong to worry. You’re also not seeing the full picture.

Coca-Cola’s AI-generated Christmas ad was technically impressive and emotionally hollow. It looked like a Coke ad. It had the trucks and the lights and the jingle. But the internet hated it, not because it was bad, but because it felt like it was made by a system that understood the components of warmth without understanding warmth itself. The Socialiser felt that immediately. Everyone else took a few seconds longer.

Airbnb’s Brian Chesky talked openly about using AI to enhance the host-guest relationship rather than replace it. That’s the Socialiser’s sweet spot: technology that makes human connection more likely, not less. An AI that helps a host write a better welcome message is enhancing relatedness. An AI that writes the welcome message and sends it automatically is replacing it. Same tool. Completely different outcomes for the Socialiser.

The Socialiser’s failure mode is assuming that all AI use is the same. It isn’t. There’s a difference between using AI to generate a first draft that a human then personalises, and using AI to send a thousand identical messages that pretend to be personal. The first enhances connection. The second erodes it. The Socialiser who learns to use AI as a starting point for human work, rather than a replacement for it, gets the best of both worlds.

Dear Thinker: This Is the Hard One

You’re the type that processes the world through analysis. Through competence. Through the belief that deep thinking produces better outcomes. AI doesn’t just challenge that belief. It inverts it.

A Thinker spent three hours crafting a strategic analysis. Their colleague asked ChatGPT to do the same thing. The AI produced a passable version in thirty seconds. Not better. Not worse. Passable. For the Thinker, “passable in thirty seconds” is an existential question: if a machine can produce 80% of my output in 1% of the time, what is the value of the other 20%, and is it worth the hours I spend producing it?

McKinsey built its own internal AI tool, Lilli, trained on its proprietary frameworks and knowledge base. That’s the Thinker done well: not replacing analysis, but accelerating the gathering of evidence so the human can spend more time on the interpretation. The insight is still human. The research is automated. The competence is preserved, just relocated to the part of the process that actually matters.

IBM’s Watson was the Thinker’s cautionary tale. Promised to revolutionise healthcare diagnostics. Built on the premise that more data and faster processing would produce better clinical decisions. It didn’t, because the problem in healthcare isn’t a lack of analysis. It’s a lack of context. Watson could process a thousand clinical papers in seconds. It couldn’t sit with a patient and read the room. The Thinker’s lesson from Watson is that competence without context is just computation.

The Thinker’s failure mode is either paralysis (“I can’t compete with this”) or abdication (“the AI can do it, so I’ll let it”). Both are mistakes. The Thinker who uses AI to handle the research, the data gathering, the first draft, and then applies their own judgment, context, and experience to the output is genuinely more effective than either the Thinker working alone or the AI working alone. The partnership is the point. The Thinker who figures this out becomes the most dangerous person in the room.

The Real Pattern

Each type’s reaction to AI is a reaction to their own deepest need:

• The Adventurer’s autonomy is amplified, so they embrace
• The Realist’s security is threatened, so they resist
• The Socialiser’s relatedness is at risk, so they worry
• The Thinker’s competence is challenged, so they freeze

None of these reactions are wrong. They’re all incomplete. The Adventurer who never slows down ships garbage. The Realist who never experiments gets overtaken. The Socialiser who never uses AI falls behind on efficiency. The Thinker who never engages becomes irrelevant.

The people who get the most from AI are the ones who recognise their type’s default reaction and deliberately work against it. Not by becoming a different type. By adding a counterweight.

The Adventurer who learns to verify. The Realist who learns to experiment. The Socialiser who learns to augment. The Thinker who learns to delegate.

That’s not a technology problem. That’s a self-awareness problem. And self-awareness, unlike AI, can’t be automated.

Yet.

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 is 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 is Not Me, It is You. By day, a Chief Marketing Officer. By night, a behavioural science obsessive who writes The Unoptimised Human because he cannot stop thinking about why people do what they do.