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Exploring the impacts of generative AI on artistic innovation routines

Exploring the impacts of generative AI on artistic innovation routines
Exploring the impacts of generative AI on artistic innovation routines
Generative AI (GenAI) is now being used in many computer-based knowledge works by various human–AI collaborations, as a major recent technological shift. However, micro-level research of GenAI impacts is rare. Moreover, whilst the creative industries are early adopters and heavy users of GenAI, there is a lack of research in this domain. To bridge these gaps, this study implemented an inductive approach to evaluate the application of GenAI in artistic innovation based on a detailed case study in a show production firm making use of company documents, interviews, and observations. The theoretical lens of routine dynamics reveals the nature of the impacts. As both a working tool and a communication facilitator, the collective application of GenAI as the working medium led to the ostensive sequence change of routines as simultaneous exploration of problems and solutions for creativity and innovation. We provide two main theoretical implications. First, individual and collective application of GenAI as both digital working tool and medium in artistic creation can improve productivity of creation and iteration. Second, such human-AI collaboration results in the routine adaptation of ostensive aspect by changing the path and interface of routine clusters and mixtures the sequential routines within creation with local events rather than systematically transforming routines.
Artistic innovation, GenAI, Human-AI collaboration, Routine dynamics
0166-4972
Chu, Wenyi
83e96265-ce13-495c-8b6b-ceca60a78630
Baxter, David
a7d6ba3f-370f-493d-9202-218d5e6dfc54
Liu, Yang
77b48647-5646-4aec-8c3d-cc9d9bd02f4e
Chu, Wenyi
83e96265-ce13-495c-8b6b-ceca60a78630
Baxter, David
a7d6ba3f-370f-493d-9202-218d5e6dfc54
Liu, Yang
77b48647-5646-4aec-8c3d-cc9d9bd02f4e

Chu, Wenyi, Baxter, David and Liu, Yang (2025) Exploring the impacts of generative AI on artistic innovation routines. Technovation, 143, [103209]. (doi:10.1016/j.technovation.2025.103209).

Record type: Article

Abstract

Generative AI (GenAI) is now being used in many computer-based knowledge works by various human–AI collaborations, as a major recent technological shift. However, micro-level research of GenAI impacts is rare. Moreover, whilst the creative industries are early adopters and heavy users of GenAI, there is a lack of research in this domain. To bridge these gaps, this study implemented an inductive approach to evaluate the application of GenAI in artistic innovation based on a detailed case study in a show production firm making use of company documents, interviews, and observations. The theoretical lens of routine dynamics reveals the nature of the impacts. As both a working tool and a communication facilitator, the collective application of GenAI as the working medium led to the ostensive sequence change of routines as simultaneous exploration of problems and solutions for creativity and innovation. We provide two main theoretical implications. First, individual and collective application of GenAI as both digital working tool and medium in artistic creation can improve productivity of creation and iteration. Second, such human-AI collaboration results in the routine adaptation of ostensive aspect by changing the path and interface of routine clusters and mixtures the sequential routines within creation with local events rather than systematically transforming routines.

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More information

Accepted/In Press date: 25 February 2025
e-pub ahead of print date: 5 March 2025
Published date: 5 May 2025
Keywords: Artistic innovation, GenAI, Human-AI collaboration, Routine dynamics

Identifiers

Local EPrints ID: 499734
URI: http://eprints.soton.ac.uk/id/eprint/499734
ISSN: 0166-4972
PURE UUID: 8201fba1-157d-4014-90d4-590bc3b0dc44
ORCID for David Baxter: ORCID iD orcid.org/0000-0003-1983-7786
ORCID for Yang Liu: ORCID iD orcid.org/0000-0002-9540-9719

Catalogue record

Date deposited: 01 Apr 2025 16:48
Last modified: 22 Aug 2025 02:34

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Contributors

Author: Wenyi Chu
Author: David Baxter ORCID iD
Author: Yang Liu ORCID iD

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