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

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.