IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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IMPACT OF GENERATIVE AI ON CREATIVE PROFESSIONALS: A REVIEW

AUTHORS:
Aaradhya Tiwari
Anishka Bansal
Himanshu Kumar
Kartikey Chandola
Mentor
Dr Ranjana Agarwal
Affiliation
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Generative Artificial Intelligence (Gen AI) has rapidly emerged as a transformative force across creative industries, fundamentally altering how content is conceptualized, produced, and distributed. Leveraging advanced machine learning techniques such as large language models (LLMs), diffusion models, and multimodal systems, Gen AI enables the automated generation of text, images, audio, and video with unprecedented speed and sophistication (OpenAI, 2024; Google DeepMind, 2024). This review paper critically examines recent academic and industry research from 2024–2025 to assess the multifaceted
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Tiwari, A., Bansal, A., Kumar, H. & Chandola, K. (2026). Impact of Generative AI on Creative Professionals: A Review. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.235

Tiwari, Aaradhya, et al.. "Impact of Generative AI on Creative Professionals: A Review." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.235.

Tiwari, Aaradhya,Anishka Bansal,Himanshu Kumar, and Kartikey Chandola. "Impact of Generative AI on Creative Professionals: A Review." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.235.

References
1.Adobe Research. (2025). State of AI in creative workflows.

2.Deloitte Insights. (2025). Generative AI and the creative economy.

3.Google DeepMind. (2024). Advances in multimodal AI systems.

4.IEEE Spectrum. (2024). Ethics and challenges of generative AI.

5.McKinsey & Company. (2024). The economic potential of generative AI.

6.MIT Technology Review. (2024). How generative AI is changing creative jobs. Nature Machine Intelligence. (2025). Human–AI collaboration in creative tasks. OpenAI. (2024). GPT-4 technical report.

7.Stanford University. (2025). AI index report.

8.World Economic Forum. (2025). Future of jobs report.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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