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The 5 Types of AI Users

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Every organisation today sits somewhere on the AI adoption curve. Some are accelerating. Most are stuck. And a surprising number believe they’re further ahead than they really are.

After working across multiple industries and seeing hundreds of behaviours up close, the same five personas keep appearing.

I call them The 5 Ds of AI Adoption.

This framework explains why businesses either get leverage or get left behind.

1. The Deniers

“AI is hype. We’ve seen this before.”

Characteristics

Deniers anchor themselves to past success. They rely on tenure, intuition, and manual methods. They see AI as a gimmick or an existential threat to the value they built over decades.

What they do

  • Decline pilots.
  • Avoid training.
  • Push AI discussions to “later”.
  • Talk about “hype cycles” while missing the shift happening beneath them.

Why they stall

AI doesn’t feel relevant until it’s too late.

By the time they feel pressure, the gap is unbridgeable.

How to move them

  • Small, safe demonstrations.
  • Zero-jargon business cases.
  • Exposure to what competitors are already doing.

The goal: Make AI impossible to ignore.

2. The Decorators

“Look, I made our brand mascot in AI!”

Characteristics

Decorators treat AI like Canva 2.0.

They generate avatars, novelty visuals, or clever prompts — but create no real operational value.

What they do

  • Add AI-made graphics to presentations.
  • Build slide aesthetics instead of business logic.
  • Get applause for creativity but deliver no leverage.

Why they stall

They believe “using the tool” equals “adoption”, but nothing about their workflow changes.

Zero throughput gains. Zero cost reductions. Zero competitive advantage.

How to move them

Shift them from novelty to necessity.

  • Show automation.
  • Show reporting acceleration.
  • Show knowledge compression.
  • Show real productivity gains.

The goal: Turn AI from ornament to infrastructure.

3. The Dabblers

“I use ChatGPT sometimes. It’s handy.”

Characteristics

The Dabbler is the most widespread — and the most dangerously overconfident.

They use AI for emails, summaries, or small tasks, then assume they’re “up to date”.

What they do

  • Ask for lists.
  • Ask for rewrites.
  • Use ChatGPT like Google with better grammar.
  • Believe prompting = mastery.

Why they stall

Dabbling creates illusions of competence.

They think they’re ahead because they tinker.

But tinkering doesn’t translate into leverage.

How to move them

  • Introduce structured prompting.
  • Build repeatable workflows.
  • Teach chaining and multi-step logic.
  • Integrate AI into weekly cadences.

The goal: Turn occasional use into operational rhythm.

4. The Delegators

“My team handles the AI side of things.”

Characteristics

These are senior leaders who believe they can stay strategic while outsourcing everything hands-on.

They want the outcomes without building the understanding.

What they do

  • Hire “AI people”.
  • Approve budgets without real technical insight.
  • Use buzzwords in meetings.
  • Struggle to evaluate output or risk.

Why they stall

Without foundational knowledge, they can’t:

  • judge quality
  • guide strategy
  • identify blind spots
  • understand limitations
  • protect against failures

They lose authority because they’re unable to lead what they don’t understand.

How to move them

Provide executive-level clarity:

  • Principles, not prompting.
  • Risks, not syntax.
  • Frameworks, not features.
  • Realistic capability mapping.

The goal: Build competence without overwhelming them.

5. The Designers

“AI isn’t a tool. It’s an operating system.”

Characteristics

Designers are the outliers.

They build workflows, automation chains, and intelligent systems that eliminate entire layers of manual work.

They see AI as a way to re-engineer how the business runs.

What they do

  • Build AI-driven reporting loops.
  • Automate repeatable processes.
  • Integrate data → logic → action flows.
  • Collapse hours into minutes.
  • Redesign handoffs, onboarding, training, compliance, and knowledge transfer.

Why they scale

They don’t rely on effort.

They rely on design, leverage, and compounding advantage.

How to support them

  • Provide governance.
  • Build cross-functional standards.
  • Distribute capability across teams.
  • Protect them from burnout.

The goal: Institutionalise what they create.

Conclusion: The Market Is Now Binary

Businesses are sorting themselves into two groups:

Those who redesign the way work works.

Those who will be replaced by those who redesign the way work works.

The 5 Ds aren’t just a cute framework — they’re a diagnostic tool for capability, mindset, operational maturity, and competitive trajectory.

Your organisation already contains all five.

Your future depends on which group grows fastest.

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