Content creators’ hopes and fears about artificial intelligence

Users and regulators alike recognise the need for public consultation around new developments in artificial intelligence (AI). However, most consultations reflect economic or political concerns and tend to focus on Generative AI (GenAI) impacts on the traditional workforce, excluding gig economy workers in general and content creators in particular. In this two-stage study, we firstly report qualitative findings from a survey of 100 content creators, using these to design a quantitative survey issued to 307 content creators. In our thematic analysis of the qualitative data, we report a nuanced response to GenAI tools. Participants recognised that they might help to reduce an unmanageable workload, but that they might also render them redundant in certain contexts. Our content creators spoke meaningfully about different forms of loss, not just of jobs or of creativity, but also of the passion and the dedication to learning that provided much of the intrinsic motivation for creation. Quantitative survey findings showed that those who’d had greater experience of AI felt less threatened by the technology, but that concerns remained about fairness, data privacy and a rise in targeted advertising. Overall, we found that more diverse experiences need to be represented and considered in the public consultations informing the development and regulation of GenAI.

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Institutions

Publication Details

Journal
Convergence The International Journal of Research into New Media Technologies
Published
2025-08-30
DOI
https://doi.org/10.1177/13548565251372830
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37

Funders

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article

Content creators’ hopes and fears about artificial intelligence

Richard D. Brown, Carolina Are, Pam Briggs
1 citations
Convergence The International Journal of Research into New Media Technologies
Ethics and Social Impacts of AI
2.37
article

Content creators’ hopes and fears about artificial intelligence

Richard D. Brown, Carolina Are, Pam Briggs
article en
1 citations

Abstract

Users and regulators alike recognise the need for public consultation around new developments in artificial intelligence (AI). However, most consultations reflect economic or political concerns and tend to focus on Generative AI (GenAI) impacts on the traditional workforce, excluding gig economy workers in general and content creators in particular. In this two-stage study, we firstly report qualitative findings from a survey of 100 content creators, using these to design a quantitative survey issued to 307 content creators. In our thematic analysis of the qualitative data, we report a nuanced response to GenAI tools. Participants recognised that they might help to reduce an unmanageable workload, but that they might also render them redundant in certain contexts. Our content creators spoke meaningfully about different forms of loss, not just of jobs or of creativity, but also of the passion and the dedication to learning that provided much of the intrinsic motivation for creation. Quantitative survey findings showed that those who’d had greater experience of AI felt less threatened by the technology, but that concerns remained about fairness, data privacy and a rise in targeted advertising. Overall, we found that more diverse experiences need to be represented and considered in the public consultations informing the development and regulation of GenAI.

Convergence The International Journal of Research into New Media TechnologiesVol. 31(6)
Northumbria University (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 9%
Ethics and Social Impacts of AI
2.37
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