Why AI in the Industrial Design Process is Eliminating the Moments That Matter Most
91% of designers now use AI weekly. Up from 54% last year.
The AI in Design 2026 report — published by Designer Fund and Foundation Capital — calls out something most people are quietly feeling but not saying: craft atrophy.
For UX and graphic designers, that's a real concern. When AI handles execution, the muscle weakens. Judgment gets outsourced before it's fully developed.
But for industrial designers using AI in the concept phase of the product design process, this isn't a concern. It's a warning.
What the Concept Phase in Industrial Design Actually Is
Industrial design concept work is not simply ideation. It is the phase where an industrial designer's instincts are built, tested and sharpened. Where experience compounds. Where the decisions made — or not made — determine the trajectory of everything that follows in the product development process.
It is also the phase most vulnerable to disruption by AI.
When you introduce AI at the concept stage of the industrial design process, you don't just change the tools. You change the conditions under which thinking happens. And those conditions matter enormously.
The Stream of Consciousness That AI Cannot Replicate
There is a quality to genuine concept work in industrial design that I can only describe as a stream of consciousness process. One idea triggers the next. A line goes in an unexpected direction. A so-called mistake in sketching births a new aesthetic style language that would never have emerged from a deliberate prompt.
This is not a romantic notion about craft. It is a description of how innovation actually works in physical product design.
AI offers you an answer before the question has fully formed. It compresses the open-ended phase — the wandering, the wrong turns, the unexpected connections — in favour of speed and plausibility. What it produces is reasonable. What it eliminates is the genuinely new.
The Physicality of Industrial Design Thinking
There is something else AI cannot replicate: the physicality of the industrial design process.
The moment an industrial designer picks up a pencil and sketches, something happens that no prompt can reproduce. The hand moves faster than the conscious mind. A proportion feels wrong before you can articulate why. You draw a line badly and accidentally find the form you were looking for.
This is not nostalgia. This is how the body and the brain work together in physical product design. The hand is not just executing an idea — it is generating one.
The same is true of rough physical mockups. Foam. Card. Tape. Holding an object in your hands tells you things a render never will. Weight distribution. Grip. Size and proportion. Whether the product actually makes sense to build. These are the moments where an industrial designer develops the deep instincts that protect their clients from expensive mistakes later in the product development process — mistakes that, once tooling is cut, can cost tens of thousands of dollars to fix.
What Industrial Designers Risk Losing
The AI in Design 2026 report finds that speed is compressing what it calls the open-ended phase of design. In digital product design, that compression has real costs. In industrial design, those costs are greater — and more concrete.
When you compress the concept phase of the industrial design process, you don't just move faster. You skip the exact conditions under which discovery happens. The moments where creativity is generated. The instincts that deliver genuine innovation, user delight and competitive differentiation for your client.
These instincts are not built by prompting. They are built by years of practice — sketching, making, holding, refining. By the accumulated experience of an industrial designer who has worked across materials, manufacturing processes and user contexts. By the kind of human-centred design thinking that cannot be shortcut.
A Note on Where AI Does Belong in the Industrial Design Process
This is not an argument against AI in industrial design. Used at the right stage — in research synthesis, in manufacturing data analysis, in documentation and visualisation — AI has genuine value. The industrial design process is long and complex, and there are parts of it that benefit from speed.
The concept phase is not one of them.
The Moments That Matter
By compressing the open-ended phase of industrial design, AI eliminates critical moments of discovery and innovation. Not slows them down. Not challenges them. Eliminates them.
And with them, the best chance of finding something truly new.
The industrial designers who will matter most in the years ahead are not the ones who adopted AI earliest. They are the ones who understood which parts of the process to protect — and why.
Source: AI in Design 2026 — Designer Fund & Foundation Capital
Danny Cheung is the founder of Paranormal Design, a Sydney-based industrial design consultancy with 20+ years of end-to-end product development experience.