A Creative PEC Discussion Paper
Tom Lane, Harry Pickard, Matthew J. Walker (Newcastle University Business School) & Timo Heinrich (Hamburg University of Technology)
Abstract
Artificial intelligence can now generate outputs that were once the preserve of human labour. Yet well-documented algorithm aversion raises the possibility of consumer bias in favour of human-made work. This paper uses incentivised experimental auctions and state-of-the-art generative AI models to compare consumer valuations for human-made versus AI-generated images and poetry, sold respectively as physical prints and on mugs. In a broad population sample from the UK, we observe a premium for human-made work in consumer valuations. However, among the youngest participants we observe no such premium, mirroring the findings of a laboratory study with student participants. Demand for AI-generated outputs varies with individuals’ attitudes toward AI. Whether the age pattern reflects ageing or cohort replacement will determine whether consumer preferences can help sustain human labour.
Citation
If the information in this report is used in any subsequent research and/or publications, please cite as follows: Lane, T., Pickard, H., Walker, M.J. and Heinrich, T. (2026) A Silver Lining? Consumer Preferences over Human-Made and AI-Generated Production in Two Domains, Creative PEC Discussion Papers Series No. 2026/1. Doi:
Creative PEC Discussion Paper Series
Creative PEC’s Discussion Papers are a collection of publications designed to share ideas and foster debate among academics, policymakers and practitioners on creative industries’ evidence and policies. The papers follow an editorial approval process aimed at preserving a pluralism of views whilst maintaining the high academic standards of Creative PEC.
All Discussion Papers are published subject to editorial discretion. Any views and interpretations expressed in Creative PEC Discussion Papers lie solely with the author(s) and should not be understood as being shared by Creative PEC, its staff (including the Editor of the Series), Newcastle University, the RSA, or the AHRC.
Image: Hanna Barakat & Archival Images of AI + AIxDESIGN / https://betterimagesofai.org / https://creativecommons.org/licenses/by/4.0/
