The Impact of AI Technology on Content Creation Efficiency and Creativity: A Mixed-Methods Analysis in Digital Media Industry

Authors

  • Akshaj Kilewala National Institute of Design, India
  • Bharat Manoj National Institute of Design, India
  • Ayushi Rawat National Institute of Design, India
  • Ashwini Parihar National Institute of Design, India
  • Laura Rejo National Institute of Design, India
  • Prabhat Paswan National Institute of Design, India

DOI:

https://doi.org/10.51903/ijgd.v3i2.2753

Keywords:

Artificial Intelligence, Content Creation, Digital Creativity, Efficiency, Human-AI Collaboration

Abstract

The rapid advancement of artificial intelligence (AI) has profoundly transformed digital content creation, particularly in enhancing efficiency and supporting creativity. This study investigates the impact of AI technologies, such as GPT-4, DALL·E, and Synthesia, on the efficiency and creativity of professionals in the digital media industry. Using a mixed-methods design, the research integrates quantitative surveys from 300 content creators with in-depth interviews of 20 industry experts to assess how AI tools influence productivity, originality, and user satisfaction. This study adopts an explanatory sequential mixed-methods design, where quantitative survey findings guide the development of qualitative interview themes. The integration occurs during the interpretation stage, allowing for triangulation that connects statistical trends in AI use (e.g., increased efficiency and creativity) with deeper contextual insights from professionals’ lived experiences, ethical reflections, and design adaptations. Quantitative data were analyzed through descriptive statistics, paired t-tests, and regression analysis, while qualitative data were processed using thematic analysis. The results reveal that AI integration reduces average content production time by 45%, significantly enhancing workflow speed in graphic design, writing, and video editing. Additionally, 72% of respondents reported that AI assists in creative idea exploration, while 28% expressed concerns about diminished originality. Regression analysis indicates a positive correlation between AI usage intensity and perceived creativity, suggesting AI enhances, but does not replace, human innovation. This study contributes to the growing discourse on AI in creative industries by offering empirical insights into its dual role as both a productivity booster and a creative assistant. It underscores the importance of positioning AI as a collaborative tool that complements rather than supplants human creativity. The findings offer implications for designers, developers, and policymakers in fostering ethical, inclusive, and human-centered AI integration in content creation.

References

Ahn, M. J., & Chen, Y. C. (2022). Digital Transformation Toward AI-Augmented Public Administration: The Perception of Government Employees and the Willingness to Use AI in Government. Government Information Quarterly, 39(2), 101664. https://doi.org/10.1016/j.giq.2021.101664

Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Shishakly, R., Lutfi, A., Alrawad, M., Al Mulhem, A., Alkhdour, T., & Al-Maroof, R. S. (2022). Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate., 11(20), 3291. https://doi.org/10.3390/electronics11203291

Amankwah-Amoah, J., Abdalla, S., Mogaji, E., Elbanna, A., & Dwivedi, Y. K. (2024). The Impending Disruption of Creative Industries by Generative AI: Opportunities, Challenges, and Research Agenda. International Journal of Information Management, 79, 102759. https://doi.org/10.1016/j.ijinfomgt.2024.102759

Anantrasirichai, N., & Bull, D. (2021). Artificial Intelligence in the Creative Industries: A Review. Artificial Intelligence Review, 55(1), 589–656. https://doi.org/10.1007/s10462-021-10039-7

Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis. Sustainability, 15(17), 12983. https://doi.org/10.3390/su151712983

Bellaiche, L., Shahi, R., Turpin, M. H., Ragnhildstveit, A., Sprockett, S., Barr, N., Christensen, A., & Seli, P. (2023). Humans Versus AI: Whether and Why We Prefer Human-Created Compared to AI-Created Artwork. Cognitive Research: Principles and Implications, 8(1), 1–22. https://doi.org/10.1186/s41235-023-00499-6

Bengesi, S., El-Sayed, H., Sarker, M. K., Houkpati, Y., Irungu, J., & Oladunni, T. (2024). Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers. IEEE Access, 12, 69812–69837. https://doi.org/10.1109/access.2024.3397775

Bilgram, V., & Laarmann, F. (2023). Accelerating Innovation With Generative AI: AI-Augmented Digital Prototyping and Innovation Methods. IEEE Engineering Management Review, 51(2), 18–25. https://doi.org/10.1109/emr.2023.3272799

Cetinic, E., & She, J. (2022). Understanding and Creating Art with AI: Review and Outlook. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 18(2). https://doi.org/10.1145/3475799

Chandrasekera, T., Hosseini, Z., & Perera, U. (2024). Can Artificial Intelligence Support Creativity in Early Design Processes. International Journal of Architectural Computing, 23(3), 122–136. https://doi.org/10.1177/14780771241254637

Chintalapati, S., & Pandey, S. K. (2021). Artificial Intelligence in Marketing: A Systematic Literature Review. International Journal of Market Research, 64(1), 38 68. https://doi.org/10.1177/14707853211018428

ColemanColeman, P. (2021). Validity And Reliability Within Qualitative Research For The Caring Sciences. International Journal of Caring Sciences, 14(3), 2041 2045. http://www.internationaljournalofcaringsciences.org/

Duan, H., Liao, J., Lin, L., El Saddik, A., & Cai, W. (2024). Meetor: A Human-Centered Automatic Video Editing System for Meeting Recordings. ACM Transactions on Multimedia Computing, Communications and Applications, 20(9), 1–23. https://doi.org/10.1145/3648681

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

Garcia, M. B. (2024). The Paradox of Artificial Creativity: Challenges and Opportunities of Generative AI Artistry. Creativity Research Journal, 23, 1 14. https://doi.org/10.1080/10400419.2024.2354622

Handel, M. J. (2022). Growth Trends for Selected Occupations Considered at Risk from Automation. Monthly Labor Review. https://doi.org/10.21916/mlr.2022.21

Hitsuwari, J., Ueda, Y., Yun, W., & Nomura, M. (2023). Does Human–AI Collaboration Lead to More Creative Art? Aesthetic Evaluation of Human-Made and AI-Generated Haiku Poetry. Computers in Human Behavior, 139, 107502. https://doi.org/10.1016/j.chb.2022.107502

Huang, Y. F., Lv, S. J., Tseng, K. K., Tseng, P. J., Xie, X., & Lin, R. F. Y. (2023). Recent Advances in Artificial Intelligence for Video Production System. Enterprise Information Systems, 17(11), 2246188. https://doi.org/10.1080/17517575.2023.2246188

Hugenholtz, P. B., & Quintais, J. P. (2021). Copyright and Artificial Creation: Does EU Copyright Law Protect AI-Assisted Output? IIC International Review of Intellectual Property and Competition Law, 52(9), 1190–1216. https://doi.org/10.1007/S40319-021-01115-0

In-Hwa, K., Song-Il, P., Na, I. H., Young, K. A., & Chul, K. Y. (2025). Ethical AI in the Metaverse: A Mixed-Methods Study on Design Innovation, Social Implications, and Fairness Challenges. International Journal of Graphic Design, 3(1), 53–65. https://doi.org/10.51903/ijgd.v3i1.2791

Iphofen, R., & Kritikos, M. (2021). Regulating Artificial Intelligence and Robotics: Ethics by Design in a Digital Society. Contemporary Social Science, 16(2), 170–184. https://doi.org/10.1080/21582041.2018.1563803

Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study. Journal of Industrial Integration and Management, 7(1), 83–111. https://doi.org/10.1142/s2424862221300040

Jiang, J. A., Wade, K., Fiesler, C., & Brubaker, J. R. (2021). Supporting Serendipity: Opportunities and Challenges for Human-AI Collaboration in Qualitative Analysis. Proceedings of the ACM on Human-Computer Interaction, 5(1), 1-23. https://doi.org/10.1145/3449168

Khlystova, O., Kalyuzhnova, Y., & Belitski, M. (2022). The Impact of the COVID-19 Pandemic on the Creative Industries: A Literature Review and Future Research Agenda. Journal of Business Research, 139, 1192–1210. https://doi.org/10.1016/j.jbusres.2021.09.062

Khogali, H. O., & Mekid, S. (2023). The Blended Future of Automation and AI: Examining Some Long-Term Societal and Ethical Impact Features. Technology in Society, 73, 102232. https://doi.org/10.1016/j.techsoc.2023.102232

Koçak, B., Ponsiglione, A., Stanzione, A., Bluethgen, C., Santinha, J., Ugga, L., Huisman, M., Klontzas, M. E., Cannella, R., & Cuocolo, R. (2025). Bias In Artificial Intelligence For Medical Imaging: Fundamentals, Detection, Avoidance, Mitigation, Challenges, Ethics, And Prospects. Diagnostic and Interventional Radiology, 31(2), 75–88. https://doi.org/10.4274/dir.2024.242854

Koivisto, M., & Grassini, S. (2023). Best Humans Still Outperform Artificial Intelligence in a Creative Divergent Thinking Task. Scientific Reports, 13(1), 1–10. https://doi.org/10.1038/s41598-023-40858-3

Kolides, A., Nawaz, A., Rathor, A., Beeman, D., Hashmi, M., Fatima, S., Berdik, D., Al-Ayyoub, M., & Jararweh, Y. (2023). Artificial Intelligence Foundation and Pre-Trained Models: Fundamentals, Applications, Opportunities, and Social Impacts. Simulation Modelling Practice and Theory, 126, 102754. https://doi.org/10.1016/j.simpat.2023.102754

Kotronoulas, G., Miguel, S., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E., Drury, A., Semple, C., Dieperink, K. B., & Papadopoulou, C. (2023). An Overview of the Fundamentals of Data Management, Analysis, and Interpretation in Quantitative Research. Seminars in Oncology Nursing, 39(2), 151398. https://doi.org/10.1016/j.soncn.2023.151398

Leighton, K., Kardong-Edgren, S., Schneidereith, T., & Foisy-Doll, C. (2021). Using Social Media and Snowball Sampling as an Alternative Recruitment Strategy for Research. Clinical Simulation in Nursing, 55, 37–42. https://doi.org/10.1016/j.ecns.2021.03.006

Li, H., Xue, T., Zhang, A., Luo, X., Kong, L., & Huang, G. (2024). The Application and Impact of Artificial Intelligence Technology in Graphic Design: A Critical Interpretive Synthesis. Heliyon, 10(21), 40037. https://doi.org/10.1016/j.heliyon.2024.e40037

Lian, Y., & Xie, J. (2024). The Evolution of Digital Cultural Heritage Research: Identifying Key Trends, Hotspots, and Challenges through Bibliometric Analysis. Sustainability, 16(16), 7125. https://doi.org/10.3390/su16167125

Liang, W., Tadesse, G. A., Ho, D., Li, F. F., Zaharia, M., Zhang, C., & Zou, J. (2022). Advances, Challenges and Opportunities in Creating Data for Trustworthy AI. Nature Machine Intelligence, 4(8), 669–677. https://doi.org/10.1038/s42256-022-00516-1

Lu, P., & Hsiao, S. W. (2022). A Product Design Method for Form and Color Matching Based on Aesthetic Theory. Advanced Engineering Informatics, 53, 101702. https://doi.org/10.1016/j.aei.2022.101702

Lucchi, N. (2024). ChatGPT: A Case Study on Copyright Challenges for Generative Artificial Intelligence Systems. European Journal of Risk Regulation, 15(3), 602–624. https://doi.org/10.1017/err.2023.59

Lyu, W., & Liu, J. (2021). Artificial Intelligence and Emerging Digital Technologies in the Energy Sector. Applied Energy, 303, 117615. https://doi.org/10.1016/j.apenergy.2021.117615

Mariani, M. M., Machado, I., & Nambisan, S. (2023). Types of Innovation and Artificial Intelligence: A Systematic Quantitative Literature Review and Research Agenda. Journal of Business Research, 155, 113364. https://doi.org/10.1016/j.jbusres.2022.113364

Perez-Vega, R., Kaartemo, V., Lages, C. R., Borghei Razavi, N., & Männistö, J. (2021). Reshaping the Contexts of Online Customer Engagement Behavior via Artificial Intelligence: A Conceptual Framework. Journal of Business Research, 129, 902–910. https://doi.org/10.1016/j.jbusres.2020.11.002

Prasetya, D., Inayati, I., Utami, B., & Pertiwi, S. (2025). From Static To Sentient: Designing Emotionally Responsive Interfaces Using Affective Computing For UX Enhancement. International Journal of Graphic Design, 3(1), 120–136. https://doi.org/10.51903/ijgd.v3i1.2811

Reddy, V. S., Kathiravan, M., & Reddy, V. L. (2024). Revolutionizing Animation: Unleashing the Power of Artificial Intelligence for Cutting-Edge Visual Effects in Films. Soft Computing, 28(1), 749–763. https://doi.org/10.1007/s00500-023-09448-3

Rizvanović, B., Zutshi, A., Grilo, A., & Nodehi, T. (2023). Linking the Potentials of Extended Digital Marketing Impact and Start-Up Growth: Developing a Macro-Dynamic Framework of Start-Up Growth Drivers Supported by Digital Marketing. Technological Forecasting and Social Change, 186, 122128. https://doi.org/10.1016/j.techfore.2022.122128

Rosyida, H. F., Syafei, A., & Nuha, M. U. (2025). The Evolving Field of Graphic Design: Challenges and Opportunities in the Integration of Artificial Intelligence. International Journal of Graphic Design, 3(1), 19–38. https://doi.org/10.51903/ijgd.v3i1.2537

Shi, Y., Gao, T., Jiao, X., & Cao, N. (2023). Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature Review. Proceedings of the ACM on Human-Computer Interaction, 7(2), 1-35. https://doi.org/10.1145/3610217

Tewari, A., Thies, J., Mildenhall, B., Srinivasan, P., Tretschk, E., Yifan, W., Lassner, C., Sitzmann, V., Martin-Brualla, R., Lombardi, S., Simon, T., Theobalt, C., Nießner, M., Barron, J. T., Wetzstein, G., Zollhöfer, M., & Golyanik, V. (2022). Advances in Neural Rendering. Computer Graphics Forum, 41(2), 703–735. https://doi.org/10.1111/cgf.14507

Whang, S. E., Roh, Y., Song, H., & Lee, J. G. (2023). Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective. VLDB Journal, 32(4), 791–813. https://doi.org/10.1007/s00778-022-00775-9

Xu, W., Dainoff, M. J., Ge, L., & Gao, Z. (2023). Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI. International Journal of Human–Computer Interaction, 39(3), 494–518. https://doi.org/10.1080/10447318.2022.2041900

Zha, D., Bhat, Z. P., Lai, K.-H., Yang, F., Jiang, Z., Zhong, S., & Hu, X. (2025). Data-Centric Artificial Intelligence: A Survey. ACM Computing Surveys, 57(5), 1–42. https://doi.org/10.1145/3711118

Zhou, C., Zhang, X., & Yu, C. (2023). How AI Promotes Design Iteration: Identifying the Optimal Time for Integration into the Design Process. Journal of Engineering Design, 1-28. https://doi.org/10.1080/09544828.2023.2290915

Zickar, M. J., & Keith, M. G. (2023). Innovations in Sampling: Improving the Appropriateness and Quality of Samples in Organizational Research. Annual Review of Organizational Psychology and Organizational Behavior, 10(10), 315–337. https://doi.org/10.1146/annurev-orgpsych-120920-052946

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Published

2025-10-28

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Vol. 3 No. 2 (2025): October| IJGD: International Journal of Graphic Design

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Articles

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Copyright (c) 2025 Akshaj Kilewala, Bharat Manoj, Ayushi Rawat, Ashwini Parihar, Laura Rejo, Prabhat Paswan

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How to Cite

The Impact of AI Technology on Content Creation Efficiency and Creativity: A Mixed-Methods Analysis in Digital Media Industry. (2025). International Journal of Graphic Design, 3(2), 175-191. https://doi.org/10.51903/ijgd.v3i2.2753