There’s a question that keeps coming up in almost every conversation lately, and it sounds reasonable on the surface: will AI replace designers?

The problem is that this is the wrong question.

AI is not replacing roles in a clean, predictable way. What it is actually doing is much more subtle and much more disruptive – it’s replacing tasks inside those roles, and that shift is already happening whether people realise it or not.

Most design roles today are still heavily centred around execution. Designers are expected to take requirements, translate them into flows, produce screens, iterate on solutions, and deliver outputs that move a product forward. Even in more senior roles, a large portion of the work still revolves around producing something tangible rather than shaping what should exist in the first place.

The issue is not that this work lacks value. The issue is that it is predictable. And anything predictable is exactly the type of work that AI is starting to absorb. Not perfectly, not end-to-end, but well enough to reduce the need for someone whose contribution sits only at that level.

This is where the uncomfortable truth comes in.

Designers who operate primarily in the execution layer, especially those focused on visual output or component assembly, are working in the part of the process that is most exposed. Tools are already generating layouts, variations, and basic interaction patterns. They are not replacing designers entirely, but they are moving the value away from pure execution much faster than most people expect.

So the real question is not who gets replaced, but who becomes more valuable.

The designers who will continue to grow are not the ones who simply learn more tools or adapt faster to new interfaces. They are the ones who operate at a different level altogether.

• they define problems before jumping into solutions
• they connect design decisions to business impact
• they influence product direction rather than just responding to it
• they work across teams instead of staying confined within design

In simple terms, they think.

AI can generate options, but it cannot decide what actually matters. It does not understand organisational context, it cannot align stakeholders with competing priorities, and it does not take responsibility for trade-offs. That layer of work remains deeply human, and it is exactly where the value of design is moving.

The problem is that most designers were never trained for this. They were trained to design good experiences, to run research, and to produce high-quality outputs. Very few were taught how to influence strategy, how to navigate business decisions, or how to connect their work to measurable outcomes. As expectations shift, many find themselves in a position where their skills are still strong, but no longer sufficient.

We are already seeing this reflected in the market. Hiring has slowed, especially at junior levels. Expectations for mid-level designers are increasing, and there is a growing emphasis on ownership, impact, and the ability to work with AI tools. At the same time, companies themselves are still trying to figure out what they actually need. They talk about strategic design and product thinking, but often lack the structure or clarity to support it.

This creates a strange tension where both sides feel stuck.

Designers feel underprepared, and companies feel like they cannot find the right people.

The real risk in all of this is not sudden replacement. It is gradual irrelevance. Designers continue working in the same way while the expectations around them shift, and over time the gap becomes too large to ignore.

So what should designers do now?

The answer is not to chase every new tool or trend. It is to fundamentally change how you operate.

That starts with moving closer to decisions rather than staying in execution.
It means asking why something is being built, what problem it is solving, and how it impacts the business.
It requires learning how to connect design work to outcomes such as growth, retention, and cost, instead of focusing purely on usability or aesthetics.

It also means becoming comfortable with ambiguity, because the most valuable work happens before things are clearly defined. And finally, it means using AI as leverage rather than seeing it as a threat, integrating it into workflows to speed up thinking and exploration while remaining responsible for the final decisions.

What we are moving towards is a different kind of role. Teams will become smaller, expectations will become higher, and execution will become faster. The gap between designers who think and designers who only deliver will continue to widen.

AI is not asking designers to compete with it. It is forcing them to step up.

The question is no longer whether you are a good designer.

The question is whether you are solving the right problems, or simply executing someone else’s decisions?