Research on the Reconstruction of the Identity of Creative Workers in AIGC Era Brand Co-creation
DOI:
https://doi.org/10.54691/mn7y5t38Keywords:
AIGC; brand co-creation; creative worker; identity; human-computer collaboration.Abstract
With the acceleration of artificial intelligence generated content (AIGC) technology into the fields of brand planning, advertising creativity, visual design and content communication, the production mode and collaboration relationship of brand co-creation have changed significantly. Creative workers no longer only undertake content production and program implementation, but gradually participate in brand value planning, user insight and creative decision-making. Their professional identity has also changed from traditional independent creators to intelligent COLLABORATORS and value planners. Technology empowerment has expanded the creative production space, but it has also brought problems such as the weakening of creative subjectivity, the blurring of the boundaries of professional ability, and the conflict of multiple subject values, which makes creative workers face new pressure of professional identity. Based on this, the article analyses from three levels and puts forward strategies such as strengthening the awareness of the creative subject, expanding the structure of composite ability, improving the human-computer collaboration mechanism, and participating in the co-creation of brand value, in order to promote creative workers to adapt to the production environment of the AIGC era and realise the effectiveness between personal creative ability and the long-term value of the brand. Connect.
Downloads
References
[1] Alacovska, A., Bucher, E., & Fieseler, C. (2025). Multimodal identity work: The power of visual images for identity construction in the gig economy. Human Relations, 78(11), 1442–1477. https://doi.org/10.1177/00187267241304591
[2] Doshi, A. R., & Hauser, O. P. (2024). Generative AI enhances individual creativity but reduces the collective diversity of novel content. Science Advances, 10(28), eadn5290. https://doi.org/10.1126/sciadv.adn5290
[3] Hsu, G., & Bechky, B. A. (2024). Exploring the digital undertow: How generative AI impacts social categorizations in creative work. Organization Theory, 5(3), 1–16. https://doi.org/10.1177/26317877241275118
[4] Kirkby, A., Baumgarth, C., & Henseler, J. (2025). Welcome, new brand colleague! A conceptual framework for efficient and effective human–AI co-creation for creative brand voice. Journal of Brand Management, 32(5), 385–399. https://doi.org/10.1057/s41262-025-00387-y
[5] Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187–192. https://doi.org/10.1126/science.adh2586
[6] Prahalad, C. K., & Ramaswamy, V. (2004). Co-creation experiences: The next practice in value creation. Journal of Interactive Marketing, 18(3), 5–14. https://doi.org/10.1002/dir.20015
[7] Pratt, M. G., Rockmann, K. W., & Kaufmann, J. B. (2006). Constructing professional identity: The role of work and identity learning cycles in the customization of identity among medical residents. Academy of Management Journal, 49(2), 235–262. https://doi.org/10.5465/AMJ.2006.20786060
[8] Rezwana, J., & Maher, M. L. (2023). Designing creative AI partners with COFI: A framework for modeling interaction in human–AI co-creative systems. ACM Transactions on Computer-Human Interaction, 30(5), Article 67, 1–28. https://doi.org/10.1145/3519026
[9] Selenko, E., Bankins, S., Shoss, M., Warburton, J., & Restubog, S. L. D. (2022). Artificial intelligence and the future of work: A functional-identity perspective. Current Directions in Psychological Science, 31(3), 272–279. https://doi.org/10.1177/09637214221091823
[10] Zhou, E., & Lee, D. (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus, 3(3), pgae052. https://doi.org/10.1093/pnasnexus/pgae052
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Scientific Journal Of Humanities and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.





