AI Experts - Most of us are Number Three
Not all AI experts are created equal. Discover the 3 types of AI expertise — and which one actually matters for your career and business.
AI Expertise
By Elke Porter | WBN Ai | April 15, 2026
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"I'm an AI Expert" — But Which Kind, Exactly?
The phrase gets thrown around at dinner parties, on LinkedIn, and in job interviews. But there are actually three very different things it can mean — and confusing them is causing chaos.
Type 1
The Builder: The Person Who Actually Makes the Thing
This is the person who stays up until 2 a.m. arguing with a neural network. They understand backpropagation, write research papers with titles that contain colons, and have a GitHub profile that looks like a Jackson Pollock. If you ask them to "just make the AI do the thing," they will gently explain that your request took three years of their PhD to partially answer. These are the people building the models, training the systems, and pushing the actual frontier of what AI can do. Their expertise is deep, specialized, and genuinely hard to fake.
Type 2
The Amplified Professional: Faster, Smarter, Still Definitely Human
This is a marketing manager who used to spend a Tuesday drafting campaign briefs and now spends a Tuesday drafting campaign briefs — but finishes by noon, runs three creative variations, and still has time for lunch. Or a financial analyst who used to dread summarizing 80-page reports and now summarizes them in four minutes. Their "AI expertise" isn't about building anything. It's about knowing which tool to reach for, how to prompt it well, how to verify its outputs, and how to weave it into a real workflow. This is arguably the fastest-growing type of expertise on earth right now, and it's wildly undervalued on résumés.
Type 3
The Hobbyist Who Watched a YouTube Video: Proceed with Caution
You have met this person. They used ChatGPT once to write a birthday card, used Gemini to edit their content and wrote a song with Suno and now describe themselves as "deeply embedded in the AI space," and are available for consulting. They cannot explain what a token is. They have no idea how to create a proper prompt. They don't know the difference between a systems prompt and a user prompt.
But they have a newsletter. This isn't expertise — it's familiarity. Which is fine! Everyone starts somewhere. But the distinction matters enormously when organizations are making decisions about who to hire, who to trust, and whose AI strategy to follow. Enthusiasm is not a substitute for depth.
Need to Know
Here are the key things a marketer or a writer needs to understand to genuinely use AI well:
Prompting Fundamentals Knowing how to ask matters enormously. A vague prompt gets vague output. A skilled marketer learns to give AI context, constraints, tone, audience, and a clear goal in a single instruction — essentially writing a creative brief for a machine.
Hallucination Awareness AI confidently makes things up. A marketer who doesn't know this will publish fake statistics, invented quotes, or nonexistent product features. Knowing to verify everything factual before it goes out is non-negotiable.
Brand Voice Consistency AI writes in a generic middle-ground voice by default. Knowing how to feed it your brand guidelines, example copy, and tone-of-voice rules — and how to recognize when output drifts off-brand — is a real skill.
Output as a First Draft Mindset Marketers who treat AI output as finished produce content that reads like AI output. The skill is knowing what to rewrite, what to keep, and how to make it sound human.
Workflow Integration Knowing where AI fits — ideation, drafting, repurposing, A/B variant creation, summarizing research — versus where it doesn't, like final approvals or sensitive messaging, makes the difference between a tool and a crutch.
Data Privacy & Legal Awareness What you can't put into a public AI tool matters — client data, unreleased product info, confidential strategy. A savvy marketer knows where the legal and ethical lines are.
Prompt Iteration The first result is rarely the best one. Knowing how to refine, push back, ask for alternatives, or reframe a prompt is what separates a power user from someone who gives up after one try.
Why the Distinction Actually Matters
Lumping all three types together is how companies end up hiring a prompt enthusiast to do an engineer's job, or dismissing a highly effective Type 2 professional because they "don't understand the technology." The truth is, most of us don't need to build AI — we need to use it well. And using it well is a real, learnable, genuinely valuable skill. It just needs its own name. Which one do you like best?
- AI Multiplier
- The AI-Boosted Pro
- Human + AI Hybrid
- AI Augmented Professional
- Applied AI User
Elke Porter at:
Westcoast German Media
LinkedIn: Elke Porter or
WhatsApp: +1 604 828 8788.
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