
Lately I listened to the Dive Club episode with Emily Campbell. Emily is known for Shape of AI, a collection of design patterns for AI products, and her experience gave me a clearer understanding of what makes AI UX both exciting and challenging. While I am really against writing my Thesis about anything involving AI as I am sick and tired of it, this episode helped me reflect on what skills matter in the future of design. Some key insights that stayed with me in no particular order.
Trust as a design goal
Emily talks about how AI systems often behave in an “agentic” way – meaning they make decisions, give suggestions, or perform tasks on their own. Because of this, users can feel uncertain or even anxious. She explains that trust becomes a central design element.
Designers need to focus on transparency: showing what the AI is doing, why it is doing it, and how users can stay in control. I found this helpful because it connects with classic interaction design, but adds a new layer of responsibility.
The rise of AI UX patterns
One of the parts I enjoyed most was the discussion about AI pattern libraries. Emily explains how patterns can support designers who work with unpredictable systems. These patterns help structure prompts, guide outputs, and define how the system communicates.
Creating or analysing AI UX patterns could help designers build safer, clearer interfaces. It suggests that AI UX is becoming mature enough to have shared vocabulary and best practices.
What strong AI UX designers look like
Emily also describes the qualities she looks for in people joining AI design teams. Beyond visual design skills, she values curiosity, comfort with uncertainty, and strong empathy. Good AI designers should understand how systems behave and anticipate user worries or confusion.
I found this inspiring because it shows how the role is evolving. AI UX is not only about screens; it is also about system thinking and ethics.
Whats in it for me
This episode helped me to rethink areas of my research. I now see the importance of studying the relationship between trust, transparency, and pattern-based design. AI systems challenge traditional usability rules, but they also create opportunities to design new interaction models.
This could support safer and more predictable experiences – and while I don’t really want to have my thesis ai related, It helped me broaden my field of Idas and open up my mind.
Listening to Emily Campbell made me realise that AI UX is not a small branch of design – it is probably becoming a core part of how digital products work. The future of interaction design will require us to understand machine behaviour as much as human behaviour.








