How are professional practices adopting generative AI? The case of an engineering design and product development team
ABSTRACT: Generative Artificial Intelligence (GenAI) is transforming design practice yet research lacks empirical insights into adoption in real-world design organisations. Through the case study of a European automotive OEM, we found that GenAI could accelerate ideation, but adoption was limited due to critical concerns regarding intellectual property, data security, originality, and the risk of skill atrophy. Thus, organisational capabilities like workflow specific training, transparent governance of data protection policies, and cohesive toolchains are needed for successful GenAI integration.
Authors
- Jo Kuys (ORCID: https://orcid.org/0000-0001-7081-8463)
- Anita Kocsis (ORCID: https://orcid.org/0000-0002-5781-9557)
- David Mesa (ORCID: https://orcid.org/0000-0002-2795-1821)
- Thom Luke
- Linus Tan
Institutions
- Swinburne University of Technology (AU)
- Universidad EAFIT (CO)
Publication Details
- Journal
- Proceedings of the Design Society
- Published
- 2026-07-02
- DOI
- https://doi.org/10.1017/pds.2026.10600
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00