Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Artificial Intelligence In Product Development: Perspectives From Academia And Industry
Henke, Jan; Berger, Elias; Weippert, Jochen; Paetzold-Byhain, Kristin
Type:
Year:
2026
Editor:
Juuti, T.; Karhunen, V; Vanhatalo, M.; Lehtonen, T.;Kopra, M-J.
Author:
Series:
NordDESIGN
Institution:
Dresden University of Technology, Germany; MAN Truck & Bus SE, Germany
Page(s):
351-360
DOI number:
ISBN:
978-1-912254-21-7
ISSN:
NA
Abstract:
Artificial intelligence is increasingly discussed as a transformative technology in product development, yet its industrial adoption remains uneven. This study examines how academic and industrial experts perceive its applications, limitations and needs for action. Based on a qualitative survey of 26 participants, responses were systematically coded and clustered. The results reveal a partial divergence in perceived application areas. While both groups highlight data analysis, decision support and design automation, academia places stronger emphasis on simulation and modelling, whereas industry prioritizes knowledge management, routine automation and quality assurance. Despite these differences, both groups converge on key barriers, particularly data availability and quality, user trust, hallucinations and integration into existing toolchains. Several industrial participants report no active usage of artificial intelligence, indicating an implementation gap between research and practice. Overall, artificial intelligence in product development is currently positioned primarily as an efficiency-enhancing support tool rather than an autonomous design agent.
Keywords:
