Pontus Wärnestål
He/him
Head of Design / Deputy Professor
Pontus Wärnestål is an award-winning designer, researcher, and educator with 25 years of experience at the intersection of human-centered design, emerging technologies, and AI. With a PhD in Computational Linguistics and a background spanning academia, industry and public sector work, Pontus is awarded the Excellent Teacher merit twice, has led initiatives across human-computer interaction, service design, and AI innovation. He is the author of the book “Designing AI-Powered Services”, has published 40+ research papers, and frequently speaks on how design can shape meaningful, responsible AI systems. He is Head of Design at Ambition Group and serves as Deputy Professor at Halmstad University with a passion for designing futures where people and machines collaborate effectively and ethically.

Talk
The Designing Mind in the AI Era
The generative AI tools and services entering our workflows are reshaping how designers think, which problems they can see and which capacities they are quietly losing the habit of using. Studies show that focus efficiency has dropped to a three-year low, disengagement is rising, and a new problem emerging alongside overextension: capable people doing work that no longer requires their full capability.
This talk draws on Illich, McLuhan, Pallasmaa and Cross, and examines what tools do to the minds that use them – and which specific capacities in designers are eroding right now. It addresses the hidden costs most adoption conversations skip: labour, ecological footprint, legal exposure and cultural homogenisation. And it closes with concrete orientations for designers and leaders making tool, workflow and capability decisions under real organisational pressure.
Three things designers will take away from the talk: why declining focus in AI-augmented teams is a craft and capability crisis, not a time-management problem; why design judgment specifically depends on the friction and ambiguity that generative tools are engineered to eliminate; and what asking the right questions before tool adoption – not after – actually looks like in practice.
