Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{177641,
        author = {Urmila Nagargoje and Sandhya Naral and Divya Palve and Komal Lahare and Samadhan Ladge},
        title = {Artificial Intelligence in Modern Graphic Design: Transforming Creativity and Workflow},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1937-1941},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177641},
        abstract = {Artificial Intelligence (AI) has rapidly become 
a transformative technology in numerous industries, including,healthcare, finance, transportation, manufacturing, and education. However, one area where AI is leaving an especially significant and disruptive imprint is in the field of graphic design. Traditionally regarded as a purely human-driven creative domain, graphic design is now being reshaped by a new wave of algorithms, machine learning models, and automation tools that assist — and in some cases challenge — human creativity. From image generation models like DALL·E and Midjourney to smart design platforms like Canva and Adobe Sensei, AI is transforming not only how 
designs are produced but also how designers think, collaborate, and interact with their tools. This paper explores the growing role of AI in today’s graphic design practices, providing a comprehensive analysis of its applications, benefits, limitations, ethical challenges, and future implications. By drawing on an extensive review of academic literature, industry reports, white papers, and real-world case studies, the paper offers an in-depth examination of how AI is reshaping graphic design workflows, software tools, and the 
relationship between designers and technology. It investigates how AI tools are being integrated into 
creative processes — from layout suggestions and color 
palette generation to automated logo creation, generative 
art, and data-driven design optimization. 
Importantly, the paper argues that AI is not simply 
replacing human designers; rather, it is augmenting 
their abilities and enabling a new paradigm of “co
creativity” between humans and machines. This hybrid 
approach opens new opportunities for personalization, 
efficiency, scalability, and experimentation while also raising important questions about authorship, originality, bias, and the future of creative work. By critically examining both the promises and the perils of AI in graphic design, the paper provides valuable insights for researchers, designers, educators, and industry professionals seeking to navigate this rapidly evolving landscape.},
        keywords = {Artificial Intelligence (AI); Graphic  Design;  Machine Learning; Generative Design;  Automation; Creativity; Human-AI Collaboration; Deep  Learning; Generative Adversarial Networks (GANs);  Ethical Challenges; Co-Creativity; Design Tools.},
        month = {May},
        }