A Study of Generative AI's Influence on Graphic Design Practices and Creative Industries in Tamil Nadu
Anandhababu, P and Emmanuel Raja, S (2026) A Study of Generative AI's Influence on Graphic Design Practices and Creative Industries in Tamil Nadu. A Study of Generative AI's Influence on Graphic Design Practices and Creative Industries in Tamil Nadu, 14 (5): 26054. e100-e103. ISSN ISSN: 2320-2882
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Abstract
This is an exploratory as well as qualitative study to study the multiple effects of generative artificial
intelligence (GenAI) in the graphic design and advertising industries in Tamil Nadu, India. This research
investigates the impact of products like Midjourney and Adobe Firefly, and Canva AI in the context of rising
digital democratisation on professional workflows, economic models and representation of culture. Thematic
study of secondary data from industry blogs, professional forums, webinars and freelancer portfolios
highlighted key trends (2023-2025). The results are twofold: GenAI can save small firms and non-designers
a great deal of time and money (between 50 and 70 per cent), but it also wreaks havoc on entry-level jobs and
freelance work. The key issue is that the internationally trained AI models tend to produce inauthentic or
stereotypical representations of Tamil visual culture (kolam, Tamil font and festival visuals), which can be a
danger to vernacular identity. The study shows that sustainable integration must be accompanied by a triptych
of strategic upgrading, socially responsive AI model development and ethical frameworks to boost human-AI
collaboration, so that the region’s creative economy may progress without surrendering its cultural
individuality. Keywords: Generative AI, graphic design, Tamil Nadu, cultural representation, creative sectors,
labour market, human-AI collaboration.
| Item Type: | Article |
|---|---|
| Subjects: | Visual Communication > Visual Communication |
| Domains: | Visual Communication |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 19 May 2026 04:48 |
| Last Modified: | 19 May 2026 05:14 |
| URI: | https://ir.vistas.ac.in/id/eprint/20175 |

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