It's not just about what kind of work practices you have.
It also depends on how effectively you do them.
You take 10 UX/CX/product designers. You will be presented with their work processes. You get 10 different approaches to design. There will be points of contact. At the same time execution can be very different.
At House of Řezč, we have a very specific insight into the skills of designers. We place emphasis on co-creation through workshops. Business knowledge Through proven frameworks. Customer Research. Sense-making. Inventing and Validation of ideas.
All of this remains for us, designers, in 2026. Our tools are changing. As they say among divers: “Same, but different. “
Generative AI has reached a point where we can no longer economically ignore it.
The trouble is that AI is not ChatGPT. AI is a field. And that field requires us designers to learn new things. They tried what would work for us. And then they put it into practice... despite their logical inertia.
It's not just about what kind of work practices you have.
It also depends on how effectively you do them.
Great marketers already know this. (and we have heaps of testimonials from them -- ! 1, ! 2, ! 3, ! 4)
What are the key AI competencies for designers?
You manage to get data. It means machine data collection, data cleaning and storage, creating AI-ready know-how, deep research and data analysis with AI.
You can generate anything. Texts, images, infographics, presentations, websites, prototypes. Effectively using prompt-engineering.
You can partially or completely automate your workflows. Automation, assistants and agents. Linking using API and MCP.
We will be going through it all this year at AI Design Lab.
It's not just about what kind of work practices you have.
It also depends on how effectively you do them.
“There is less accountability when money is plentiful. “
- Cedric Chin
Reading for the weekend
Benedict Evans breaks down macro trends in AI in 90 slides (November 2025).
.png)
