What Happens to Design After AI?
Summary
Microsoft VP of Design John Maeda and Impeccable founder Paul Bakaus discuss AI's transformative impact on design practice. They explore how AI-powered creative tools, like Bakaus's open-source Impeccable, are automating routine design tasks, effectively "raising the floor" of design quality. Impeccable, integrated with GitHub Copilot app, uses a specialized vocabulary to improve AI output, akin to Kai's Power Tools or Postscript for design. The conversation highlights the shift from UX to "agentic experience" (AX), where designers focus on non-visual affordances for AI agents. While AI commoditizes basic design, it elevates the value of human taste, judgment, and unique craft, particularly for the remaining 10-20% of high-level creative decisions.
Key takeaway
For AI Product Managers and Product Designers aiming to differentiate their offerings, recognize that AI tools like Impeccable are commoditizing basic design. Focus your team's unique human talent on the 10-20% of design that requires true taste, conviction, and bespoke craft to achieve a "global maximum" experience. Explore designing for "agentic experience" (AX) to shape how AI agents interact, ensuring your products stand out beyond generic AI-generated aesthetics.
Key insights
AI automates design's mechanical aspects, elevating human taste and judgment for unique, high-level creative decisions.
Principles
- Design quality "floor" is rising due to AI.
- Taste emerges through scarcity, not abundant materials.
- Leaders with conviction drive global maximum bets.
Method
Impeccable uses a specialized design vocabulary, a quality layer, and a visual iteration mode to steer AI models, preventing generic "AI tells" and promoting uniqueness.
In practice
- Use specialized vocabulary when prompting LLMs for design.
- Focus human effort on the "last 10-20%" of unique craft.
- Explore "agentic experience" (AX) design for AI interfaces.
Topics
- AI in Design
- Design Automation
- Agentic Experience
- Impeccable
- GitHub Copilot App
- Computational Design
- User Experience
Best for: Product Manager, Product Designer, AI Engineer, AI Product Manager
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Editorial summary, takeaway, and curation by AIssential. Original article published by The a16z Show.