Figma and AI: Towards a Revolution in Experience Design

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Key Takeaways

1AI is transforming design by increasing the speed of sketches, research, and writing, but a role shift is underway.

2Figma remains essential, but its importance is diminishing in favor of workflow design that integrates AI.

3The Jevons Paradox shows that AI makes design more accessible, increasing demand rather than reducing it.

💡Why it matters — The shift towards AI experience architects is redefining the skills required and the responsibilities of designers.

A New Era for Designers

The future of user experience design is not limited to improving existing tools, but rather to a radical transformation of roles and responsibilities. Designers, accustomed to using AI to accelerate their daily tasks, are facing a paradigm shift: moving from mere users of tools to designers of complex systems.

The next decade of work in user experience is not just about enhancing incentives, but mastering systems, unexplored white spaces, and trade-offs. Most designers I meet are already using AI daily, making them much faster in their tasks: sketches, research, writing, and generating variations. However, this productivity boost is just the tip of the iceberg.

The Impact of AI on Productivity

Today, AI allows designers to significantly accelerate their workflow. Whether for sketches, research, or generating variations, AI has become an indispensable ally. Yet, the transition from AI Designer to AI Experience Architect is not solely about speed; it represents a fundamental change in the way work is done and the responsibilities that come with it. One of the first signals of this change is that Figma, while still present in job listings, is now prioritized less. Design remains crucial, but it is now integrated into other roles.

Towards a New Role: The AI Experience Architect

The transition to the role of AI Experience Architect involves a redefinition of designers' work. Instead of focusing solely on production, they must now design workflows that integrate AI as a full-fledged participant. This means completely rethinking processes, from design to implementation. Goldman Sachs divides AI-exposed work into two categories: substitution and augmentation, with design falling on the augmentation side. This is why the architect role is opening up and must be seized.

The Jevons Paradox Applied to Design

The Jevons Paradox, initially observed with coal, applies today to design. As AI reduces the cost of design per unit, the demand for new designs increases. Leaders considering replacing designers with machines underestimate the elasticity of this demand. The paradox does not guarantee growth in work, but it explains why the architect role exists.

The Stages of Transformation

The Faster Pencil

Currently, the majority of designers use AI to enhance their productivity without fundamentally changing their role within teams. You open Figma, you open Claude or ChatGPT in another tab, and you move through your existing process about 30% faster than a year ago. Deliverables and review cycles remain the same, yet the seat you occupy has not changed. This is a risk. The Figma State of the Designer 2026 survey reports that 91% of designers using AI say it improves the quality of their work, a remarkable figure for a tool that is barely three years old.

The Workflow Designer

At this stage, designers begin to integrate AI into their processes, transforming deliverables into complex workflows. You stop using AI as a mere tool and start designing processes that incorporate AI as a participant. The deliverable is no longer a screen, but a flow: who delivers what to whom, where the model is called, where a human reviews, and where the loop finally closes. However, the trap at this stage is to confuse automation with architecture, and this is a trap that nearly everyone falls into at least once.

The Systemic Thinker

Designers become systemic thinkers, focusing on the relationships between systems rather than on the screens themselves. You ask questions like where the source of truth is, how agents authenticate, what the audit trail looks like, and what a user is supposed to do when the model confidently makes a mistake about something important. The design surface expands to include data contracts, permissions, latency, fallback behaviors, and the internal policy of who is allowed to change what.

The AI Experience Architect

This role, still rare in companies, involves working at a strategic level, collaborating with various departments to define organizational capabilities in the face of AI. You work with operations, legal, IT, and the executive team to decide which decisions a model can make, which remain human, and what the social contract is with the people whose daily work has just changed. The 97% of leaders reporting benefits from AI, but only 29% seeing significant organizational ROI, is the exact gap you are paid to bridge.

Conclusion

The evolution towards AI experience architects represents a major challenge for designers, but also an opportunity to redefine their impact within organizations. Companies must recognize this transition to fully leverage the benefits of AI.