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Brian Chesky, a designer by training, warns that creative professionals sitting out AI risk becoming irrelevant. He draws a parallel to the early web, where traditional designers' hesitation led to the rise of product managers. He urges designers to embrace AI and coding to lead, not follow.

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AI doesn't replace creative experts; it elevates their role. Their craft shifts from manually creating individual assets to designing and building robust, reusable AI systems that empower the entire organization to generate on-brand content.

The most effective designers often possess a degree of technical skill. Before AI, this was a high barrier. Now, AI coding assistants empower designers to experiment with code and operate "dangerously" in the terminal, making this valuable skillset far more accessible.

AI's productivity gains mean that on a lean, early-stage team, there is little room for purely specialized roles. According to founder Drew Wilson, every team member, including designers, must be able to contribute directly to the codebase. The traditional "design artifact" workflow is too slow.

Designers who previously relied on engineers can now use AI to build complete applications, moving at the "speed of thought." This empowers creatives who understand user experience to execute their visions end-to-end, making design and UX the new competitive moats over technical implementation.

Designers have historically been limited by their reliance on engineers. AI-powered coding tools eliminate this bottleneck, enabling designers with strong taste to "vibe code" and build functional applications themselves. This creates a new, highly effective archetype of a design-led builder.

Figma's CEO believes AI will create the "10X designer." As AI automates basic design tasks, making "good enough" the new baseline, the premium on true craft and system-level thinking will skyrocket. Designers who can leverage AI to execute a holistic product vision will become indispensable leaders and key drivers of a company's success.

AI tools are collapsing the traditional moats around design, engineering, and product. As PMs and engineers gain design capabilities, designers must reciprocate by learning to code and, more importantly, taking on strategic business responsibilities to maintain their value and influence.

For designers feeling threatened by AI, the advice is to look to engineering peers as a model. Engineers have already adapted to massive AI-driven workflow changes with humility, successfully integrating new tools to become more productive, which provides a roadmap for designers.

The pendulum is swinging back from specialized design and engineering roles. With AI tools like Codex, designers can now build functional prototypes themselves, blurring the lines and bringing the industry closer to the early days where most designers also coded.

With AI empowering anyone to be a '7/10 designer,' professionals must add value at the extremes. They should move 'down the stack' to perfect design systems that elevate everyone's baseline, and 'up the stack' to craft exceptional, rule-breaking experiences for critical user journeys that AI cannot replicate.

Designers Avoiding AI Risk Ceding Their Role to Engineering, Just Like the Early Web | RiffOn