The The Integration of Generative AI in the Creative Industry of Visual Communication Design: An Analysis of Its Impacts, Ethical Challenges, and Work Originality

Main Article Content

Rendy Iswanto

Abstract

The emergence of Artificial Intelligence (AI) technology, particularly Generative AI, has brought significant changes across various sectors, including the creative industry—especially in the field of Visual Communication Design (VCD), which integrates technology, aesthetics, and communication. This study aims to analyze how Generative AI is integrated into the workflow of creative industry professionals, its impact on productivity and the creative process, as well as the challenges encountered. A qualitative research method was employed using a case study approach and in-depth interviews with creative practitioners in graphic design, photography, and multimedia production. The findings show that Generative AI helps accelerate production processes and opens new spaces for idea exploration yet also raises concerns regarding the originality of works and potential threats to certain creative professions. This study provides recommendations for optimizing the use of AI while maintaining ethical considerations and the essential role of humans in the creative process.

Article Details

How to Cite
Iswanto, R. (2025). The The Integration of Generative AI in the Creative Industry of Visual Communication Design: An Analysis of Its Impacts, Ethical Challenges, and Work Originality. VCD, 10(2), 349–364. https://doi.org/10.37715/vcd.v10i2.6072
Section
Articles

References

Adhi Kusumastuti, F. T. B. and A. M. K. (2019). Metode Penelitian Kualitatif. Lembaga Pendidikan Sukarno Pressindo LPSP.

Amrizal, V., & Aini, Q. (2013). Naskah Kecerdasan Buatan. In Kecerdasan Buatan.

Anwar, M. R., Caroline, A., Kornarius, Y. P., Gusti, T. E. P., & Gunawan, A. (2024). Bagaimana Artificial Intelligence mengubah Lanskap Industri Kreatif. ECo-Buss, 7(1), 226–238. https://doi.org/10.32877/eb.v7i1.1284

Chui, M., Hazan, E., Roberts, R., Singla, A., Smaje, K., Sukharevsky, A., Yee, L., & Zemmel, R. (2023). The economic potential of generative AI: The next productivity frontier. McKinsey & Company, June, 1–66. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier?cid=eml-web

Faiz, A., & Kurniawaty, I. (2023). Tantangan Penggunaan ChatGPT dalam Pendidikan Ditinjau dari Sudut Pandang Moral. Edukatif : Jurnal Ilmu Pendidikan, 5(1), 456–463. https://doi.org/10.31004/edukatif.v5i1.4779

Gupta, P., Ding, B., Guan, C., & Ding, D. (2024). Generative AI: A systematic review using topic modelling techniques. Data and Information Management, 8(2), 100066. https://doi.org/10.1016/j.dim.2024.100066

Hanifa, H., Sholihin, A., & Ayudya, F. (2023). Peran AI Terhadap Kinerja Industri Kreatif Di Indonesia. Journal of Comprehensive Science (JCS), 2(7), 2149–2158. https://doi.org/10.59188/jcs.v2i7.446

Jamilah, N., Putri, P., Sundari, S., & Amalia, Z. (2024). Pengaruh Kecerdasan Buatan Terhadap Hak Cipta (Analisis Karya Kreatif Yang Dihasilkan Dari Bing Image Creator). Jurnal Hukum Dan HAM Wara Sains, 3(01), 77–83. https://doi.org/10.58812/jhhws.v3i01.931

Manovich, L. (2022). AI Aesthetics. Visual Studies, 37(1–2), 156–157. https://doi.org/10.1080/1472586x.2020.1845102

Mayahi, S., & Vidrih, M. (2022). The Impact of Generative AI on the Future of Visual Content Marketing. June. http://arxiv.org/abs/2211.12660

Nasution, M. K. M. (2020). Ulasan konsep tentang kecerdasan buatan. Poliban Press. https://books.google.com/books?hl=en&lr=&id=ubomEAAAQBAJ&oi=fnd&pg=PA1&dq=penghantar+saluran+udara+transmisi&ots=5uONbJUWqo&sig=1NxagfwzEh9AENpxd0vU40jDnxY

Qiao, H., Liu, V., & Chilton, L. (2022). Initial Images: Using Image Prompts to Improve Subject Representation in Multimodal AI Generated Art. ACM International Conference Proceeding Series, 15–28. https://doi.org/10.1145/3527927.3532792

Ramdurai, B., & Adhithya, P. (2023). The Impact, Advancements and Applications of Generative AI. International Journal of Computer Science and Engineering, 10(6), 1–8. https://doi.org/10.14445/23488387/ijcse-v10i6p101

Sawant, R., Shaikh, A., Sabat, S., & Bhole, V. (2021). Text to Image Generation using GAN. SSRN Electronic Journal, Icicnis, 1–7. https://doi.org/10.2139/ssrn.3882570

Susandi, D. G., Suhardjono, D. W., Damayanti, E., Rakhmawati, D. M., & Susandi, N. R. (2025). Adaptasi Guru terhadap Integrasi Kecerdasan Buatan dalam Pembelajaran: Studi Kualitatif di Sekolah Berbasis Teknologi. PESHUM : Jurnal Pendidikan, Sosial Dan Humaniora, 4(3), 3749–3755. https://doi.org/10.56799/peshum.v4i3.8361