AI and Design: Expanding Capacity, Not Replacing It
In the age of AI, conversations about its impact on design often swing between extremes. A common narrative suggests that AI will replace designers entirely, reducing creative work to a prompt. It’s a compelling idea, but it overlooks something fundamental. Design is not just output– it is judgment, empathy, and interpretation. While AI is advancing rapidly, its role is not to replace that thinking, but to support it. When used intentionally, these tools can expand a designer’s capacity, accelerating workflows and freeing up mental bandwidth for more strategic work. The question is not whether AI will replace design, but how it can better support it.
Wayfinding as a Physical Technology: Bridging Brand Systems
In the digital product space, AI is already reshaping how teams work. Tools allow designers and engineers to generate interfaces from established systems, structured by components and consistent logic.
There is a parallel here with wayfinding. Signage systems operate through standards, hierarchies, and repeatable patterns designed to guide people through space. In this sense, wayfinding can be understood as a form of physical technology, translating information into movement.
The connection between these worlds remains largely untapped. Emerging tools, including developments like Model Context Protocol (MCP), begin to bridge that gap. Platforms such as Figma and Claude Code can interpret design systems to rapidly generate layout variations from a defined set of guidelines.
These outputs are not construction-ready, but they are valuable for exploring ideas, testing approaches, and expanding possibilities early in the process.
Automating Production, Not Process
Translating design intent into built form requires interpretation. Guidelines exist in documentation, but real-world conditions introduce variability. Automation is most effective when applied to standard sign types, layouts that follow predictable patterns and require less judgment. These can be generated efficiently, creating a foundation for the system. This allows designers to focus on the exceptions, the conditions shaped by constraints, complex messaging, or critical decision points. These are where nuance and clarity have the greatest impact on user experience. Rather than automating design itself, this approach reframes automation as a support system, handling repetition so designers can focus on intention.
Building Tools That Respond to Context
Tools are most effective when shaped by the work they support. General solutions can work, but they rarely fit perfectly. Purpose-built tools respond directly to specific needs, improving both efficiency and clarity. As AI-driven workflows become more accessible, designers can increasingly build these tools themselves. This is especially valuable in practices that sit between disciplines, where gaps between platforms are common.
One example is architectural “bubbling,” a notation style used in tools like Bluebeam but not native to Adobe InDesign. Developing a script to bring this functionality into InDesign streamlines markups and reduces friction. As the cost of building tools decreases, studios can create systems tailored to their workflows, from symbol libraries to texture generators for environmental graphics. Even non-visual workflows, like message schedules or file naming, can be streamlined. AI’s ability to process structured data makes these tasks more efficient. In this way, tools become an extension of design thinking, supporting consistency, clarity, and precision.
Designing With Intention
Automating production does not diminish the role of the designer; it sharpens it. By reducing repetitive work, it creates space for strategy, storytelling, and the human experience of moving through space. This moment presents an opportunity to reconsider not just how we design environments, but the tools we use to create them. In wayfinding and signage, where clarity and care are essential, that shift feels particularly relevant. Ultimately, the goal is not efficiency for its own sake, but to create systems that help people move through the world with confidence and ease.