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@article{197848,
        author = {Abhilasha Shekhawat and Gopal khorwal},
        title = {Impact of Generative AI on Creative Industries and Digital Content Production},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {7837-7846},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197848},
        abstract = {Generative Artificial Intelligence (GenAI) constitutes a fundamental reorientation of how digital creative content is conceived, synthesized, and disseminated across media industries. This paper systematically investigates the impact of three principal generative AI paradigms — Generative Adversarial Networks (GANs), Transformer-based Large Language Models (LLMs), and Latent Diffusion Models — on six creative sectors: music production, visual art and design, film and video, writing and journalism, game development, and advertising. Drawing upon published market analyses, industry practitioner surveys, and a review of primary technical literature, the study documents AI adoption rates of 68–90% across these sectors, with task-specific productivity gains of 35–90% depending on role and implementation maturity [14][18]. The global generative AI market, estimated at USD 67.2 billion in 2024, is projected to reach USD 220.5 billion by 2028 at a compound annual growth rate of approximately 37.8% [1]. The paper further examines concurrent challenges — copyright infringement at training-data scale, deepfake proliferation, algorithmic bias, and workforce displacement — and proposes a Human-AI Collaborative Creative Framework (HACF) structured across four governance layers. The principal contribution is a synthesis of technical, economic, and ethical dimensions into a unified analytical framework, providing a grounded basis for policy and practice in creative AI deployment.},
        keywords = {Generative AI, Deep Learning, GAN, Transformer, Diffusion Model, Creative Industries, Large Language Model, Digital Content Production, Copyright, Ethics, RLHF.},
        month = {April},
        }