The Impact of Artificial Intelligence–Based Digital Transformation on Enhancing Governance and Achieving Sustainability in Media Organizations

Abstract

This study aims to analyze the impact of artificial intelligence–based digital transformation on enhancing institutional governance and achieving sustainability in media organizations, in light of the rapid technological changes affecting the contemporary media sector. The study adopts a descriptive-analytical approach by reviewing and analyzing relevant literature and previous studies on digital transformation, artificial intelligence, governance, and sustainability. The study highlights the role of artificial intelligence in improving media production processes, enhancing content quality, optimizing resource management, and supporting data-driven decision-making. It also examines the contribution of intelligent technologies to strengthening transparency, accountability, and control mechanisms within media institutions, thereby increasing credibility and public trust. The findings indicate that AI-driven digital transformation represents a fundamental pillar for improving institutional performance and achieving economic, social, and professional sustainability by reducing operational costs, diversifying revenue sources, and enhancing the efficiency of human and technological resources. The results also reveal a strong integrative relationship between digital transformation, governance, and sustainability in media organizations. However, the study identifies several challenges associated with the adoption of artificial intelligence in the media field, including ethical issues, privacy protection, weak regulatory frameworks, and a shortage of specialized competencies. The study concludes that adopting a comprehensive strategic vision that integrates technological innovation, good governance, and sustainable development is essential to ensure successful digital transformation in media institutions.