Abstract
This article presents findings on the reciprocal relationship between industrial design education and the industry it prepares graduates for. Particularly considering the growing impact of Generative Artificial Intelligence (GenAI) on ideation, sketching, design methodologies, and productivity. To inform this research, industry professionals currently integrating GenAI into their practice were consulted to establish benchmarks and highlight critical areas for updated pedagogical approaches and digital transformation, thereby ensuring that design learning and productivity workflows remain relevant. The study arises from an awareness of current workforce shifts that are anticipated to become more pronounced soon. Rapid technological advancements are driving significant cultural and professional changes within both design education and industry. The traditional conception of the designer-creator and maker as the sole originator of innovation is evolving and expanding to encompass new roles as designers-curators who foster innovation through collaboration with autonomous AI agents proficient in specialised tasks with exceptional speed and performance.
Keywords
Design education; sketching; generative artificial intelligence; design practice
DOI
https://doi.org/10.21606/drs.2026.1725
Citation
Novoa Munoz, M., Islas Munoz, J.A., and Lozano Robledo, A. (2026) Emerging Hybrid Human-GenAI Workflows to Optimise Human Ideation, Sketching and Design, in Simeone, L., Gray, C. M., Verhoeven, A., de Götzen, A., Bakırlıoğlu, Y., Zohar, H., Stead, M., and Buwert, P. (eds.), DRS2026: Edinburgh, 8–12 June, Edinburgh, United Kingdom. https://doi.org/10.21606/drs.2026.1725
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Emerging Hybrid Human-GenAI Workflows to Optimise Human Ideation, Sketching and Design
This article presents findings on the reciprocal relationship between industrial design education and the industry it prepares graduates for. Particularly considering the growing impact of Generative Artificial Intelligence (GenAI) on ideation, sketching, design methodologies, and productivity. To inform this research, industry professionals currently integrating GenAI into their practice were consulted to establish benchmarks and highlight critical areas for updated pedagogical approaches and digital transformation, thereby ensuring that design learning and productivity workflows remain relevant. The study arises from an awareness of current workforce shifts that are anticipated to become more pronounced soon. Rapid technological advancements are driving significant cultural and professional changes within both design education and industry. The traditional conception of the designer-creator and maker as the sole originator of innovation is evolving and expanding to encompass new roles as designers-curators who foster innovation through collaboration with autonomous AI agents proficient in specialised tasks with exceptional speed and performance.