Generative AI is more than an accessory or novelty, it’s shaping how we conceive and build products. The challenge isn’t just what we generate, but how we design with it. The phrase “getting the right design” (deciding what should exist) and “getting the design right” (making it real and usable) captures this duality perfectly.
Getting the Right Design
“Getting the right design” has always been about choosing what to build and why. Before AI, this meant spending time on discovery, research, and exploration, talking to users, analyzing problems, mapping flows. Those steps still matter, but the medium has shifted.
AI tools can now ideate, summarize, and visualize concepts within minutes. That changes how we think about exploration. It gives us scale, but also noise. Suddenly, we can see ten possibilities where one would’ve taken hours. The risk is we start chasing outputs instead of understanding.
I’ve learned that the real power of AI in design isn’t in getting a final layout, it’s in challenging assumptions. It can generate ideas you wouldn’t normally consider, styles you wouldn’t try, patterns you wouldn’t draw. It expands the surface area of imagination. But you still have to curate, connect dots, and decide what feels true to the problem.
Prompting is another challenge. Designers are visual thinkers. We express intent through composition, hierarchy, contrast, not paragraphs of text. So while text-based prompting helps generate ideas, it doesn’t fully represent how designers think. The future of design tools will likely feel more multi-modal, where sketches, gestures, and system understanding come together to communicate intent.
AI should not just respond to a prompt; it should collaborate on context.
Getting the Design Right
nce a direction feels right, the focus shifts to execution, the stage where detail, consistency, and craft matter. This is where design meets engineering, product goals, and constraints.
AI can already help maintain design systems, scale components, and even suggest refinements. It can catch inconsistencies faster than we can, or adapt layouts to accessibility rules in real time. That’s where automation genuinely shines, it allows us to focus on higher-value problems.
But this part of design is also where human judgment becomes irreplaceable. AI can recognize what’s symmetrical; it cannot recognize what’s beautiful. It can balance contrast ratios; it cannot sense emotion. Design is as much about feeling as it is about form, and that sensitivity still belongs to people who care deeply about how things feel to use.
I believe the next wave of AI tools won’t just automate, they’ll understand the system we’re building in. They’ll know the brand tone, interpret feedback, and suggest improvements that align with a product’s personality. When that happens, AI stops being a “generator” and becomes part of the creative workflow.
Designing With, Not For, AI
There’s a difference between designing for AI and designing with it. Designing for AI means optimizing prompts, managing data, fine-tuning workflows, treating it like another system to serve. Designing with AI means co-creating. It’s a shared process: your intent guides, its capability scales.
To make that work, we have to bring clarity to our process. AI can’t replace a lack of vision, it can only amplify it. If you don’t know what outcome you’re aiming for, AI will give you more confusion, not clarity.
So we design with intelligence, not just automation.
We use machines to multiply our thinking, not to remove it.
And we remember that every good product still starts the same way it always did, with curiosity, with care, and with the desire to make something that truly works.
Generative AI is not the end of creativity, it’s the beginning of a new kind of collaboration. One where tools are smart enough to understand our intent, but we’re still thoughtful enough to lead.
Future of Product Designers
AI is powerful, but in design, there are only two things: value or noise. The challenge is filtering what matters. Tools can generate UI and ideas faster than ever, but the real work is solving problems, helping people, and creating magical experiences.
The near future will bring faster iterations, cheaper ideas, and simpler interfaces. If you don’t evolve, you’ll be left behind. The edge will always belong to designers who focus on execution, taste, and human-centered craft.
AI can scratch the surface, but new problems and human complexities will always demand human insight. To stay relevant, hone core skills: problem-solving, systems thinking, interaction design, and decision-making.
When everyone can generate UI, quality and thoughtful design will stand out. The next generation of designers will be craftsmen of experience, using AI as a tool, not a replacement.
In the next article, we’ll dive deeper into what it truly means to be a product designer in an AI-powered world, stay tuned.