In recent years, artificial intelligence has gone from being a curiosity to a transformative force in digital product design. However, the rush to adopt it has led many teams to fall into the trap of “putting AI in everything” without asking whether it’s really the right solution.

Transforming UX design with AI isn’t just a question of tools, but of mindset. The AI full-stack designer isn’t someone who simply uses ChatGPT or Midjourney, but someone who understands the models that power AI and how to harness them to improve the user experience and business impact.

But what’s really changing?

  1. Real-time adaptive experiences: Interfaces that evolve with the user, anticipating their needs.
  2. Generative prototyping: Designers who create interactive prototypes with AI, closing the gap with development.
  3. Intelligent automation: From content recommendations to data-driven optimization of user flows.
  4. Less friction between design and development: UI-ready code generated directly from design tools.

But here’s the dilemma: not everything needs AI! Often, the right solution is good information architecture or a clearer user flow. That’s where the AI-literate UX designer makes the difference: they know WHEN to use it and WHEN not to.

These are the tools redefining the process

  • Figma + AI plugins: Automatic generation of design variants and layout optimization.
  • Runway ML / Stable Diffusion: Creation of dynamic visual content and in-context image generation.
  • Airtable + AI: Real-time personalization of content flows.
  • Uizard / Framer AI: AI-generated interface design with dynamic adjustments.
  • ChatGPT + prompt engineering: Generating UX content, ideas for flows and support in conceptualizing conversational design.

This is the 90-day plan for integrating AI into your design process

If you want to start bringing AI into your UX process, here’s a practical guide for the next three months:

Day 1 – first 30 days: exploration and fundamentals

  • Get familiar with the basics of machine learning and LLMs.
  • Experiment with AI plugins in Figma and visual generation tools.
  • Read case studies on adaptive UX and personalization with AI.

Day 31 – 60: experimentation on real projects

  • Integrate AI into a small design flow and measure the impact.
  • Try content automation and UX data analysis tools.
  • Build dynamic prototypes with AI and validate them with users.

Day 61 – 90: strategic implementation

  • Define processes for adopting AI in your team.
  • Identify which parts of design can benefit most from AI.
  • Create documentation and best practices for future implementations.

The urgency of change

Software development is already adopting AI to write code, automate testing and optimize architectures. If design doesn’t evolve at the same pace, it will fall behind. AI won’t replace designers, but it will replace those who don’t know how to use it.

In the end, it’s not about AI for AI’s sake, but about design that works. Designers who understand AI have an enormous competitive advantage: they can build visionary products without losing focus on the user.

Ready to get started? Learning about AI isn’t optional; it’s a necessity. The question is: what are you going to design with it?

Credits

Martin Picerno
Director of Strategy & Innovation (CSO)

As Director of Strategy and Innovation at Soho, he leads and oversees initiatives that drive growth and market differentiation. With more than 10 years of experience in the field, Martin has developed a strategic vision and a practical approach to delivering innovative, user-centered solutions that meet the needs and expectations of diverse audiences and markets.