Becoming an AI-first designer: what it actually means

If you’ve spent any time in design circles lately — on LinkedIn, in workshops, or even at the coffee machine — you’ve heard some version of:

“AI is going to change everything for designers.”

That statement is both true and misleading. Yes, AI is transforming the way we research, ideate, and build. But the real shift isn’t just about generating faster — it’s about changing your role in the creative process.

I’ve been working in product and service design for over 15 years, across startups, enterprise teams, and my own consultancy. The biggest mistake I see right now?
Designers treating AI like a vending machine. Insert prompt, get output, move on.

That’s not AI-first design.
That’s 2023’s “wow, this is cool” phase.

What an AI-first designer actually is

Here’s the way I frame it to my students and clients:

AI doesn’t replace your judgment. It replaces your repetition.

The best AI-first designers I’ve worked with — and the way I now work myself — is less “prompt engineer” and more editor-in-chief.

You direct the vision. You decide what’s on-brand. You know what’s emotionally right for your audience. AI is the junior designer: fast, tireless, not precious about revisions… and absolutely clueless about your brand nuance unless you teach it.

If you can internalize that, AI becomes a multiplier — not a crutch.

Where AI is already changing the work

AI isn’t just about Midjourney moodboards or ChatGPT copy tweaks. It’s creeping into every stage of the design process. Here’s where I see the biggest impact in my own work:

1. Prototyping at warp speed

AI can now turn a napkin sketch into a clickable prototype in minutes. I’ve had service design workshops where, by the time we finish mapping the flow, we already have wireframes or a v0 prototype ready to discuss.
The shift? I spend more time directing flows and refining copy than manually pushing pixels.

Tools worth exploring: Figma and Figma Make quick designs and basic prototypes, Lovable and v0 for interactive prototypes.

2. Synthesizing user research

Instead of manually scrubbing through hours of interview recordings, AI can now summarize themes, flag pain points, and even suggest design changes.
I recently ran a usability test for a B2B client — the AI flagged three friction points I would have spotted eventually, but in a fraction of the time.

Tools: Fireflies for AI meeting transcription and basic summaries, Notion AI for research synthesis.

3. Idea generation without creative block

Moodboards, typography pairings, even entire page layouts can be AI-generated in seconds. Your job becomes choosing what’s worth pursuing and aligning it with real user needs.

Pro tip: Never present an AI idea raw to a client. Your curation is what makes it yours.

How to actually “train” your AI

Treat AI onboarding like you would onboarding a new team member. You wouldn’t expect a junior designer to know your process or tone without showing them.

I recommend building a Design Brain — a living document that captures your creative DNA. Include:

• 3–5 past projects with the thinking behind key decisions

• Your tone of voice (for copy, presentation style, microcopy)

• UI or visual references that feel distinctly “you”

• Your design principles — the non-negotiables

Once you’ve built it, feed it into your AI tools so they can start mirroring your judgment. You’ll find the outputs feel far more like your work. Clients and hiring managers will want to see your taste in action, not just your ability to get a nice Midjourney output.

Final thought

The AI-first designer isn’t the one who knows the most tools. It’s the one who can:

• See opportunities faster

• Direct and edit better than peers

• Integrate AI without losing human connection

If you can master that balance, AI doesn’t just make you more productive, it makes you a more valuable, future-proof designer.

Interested in seeing more of my process or hopping on a call with me to talk more? Send me an e-mail or book me directly and let's talk more.