Artificial Intelligence Adoption and Broadcast Media Practice in Kano (2005-2026)

This paper examines the adoption and utilization of Artificial Intelligence (AI) technologies in broadcast media practice in Kano State, Nigeria. The rapid advancement of AI has transformed global media systems, influencing news production, content distribution, audience engagement, and newsroom operations. However, the extent of AI integration within broadcast organizations in Kano remains underexplored despite the increasing digitalization of media practice in Northern Nigeria. The study investigates the level of awareness, adoption patterns, opportunities, and challenges associated with AI technologies among broadcast media practitioners in Kano State.
The paper adopts a qualitative research approach, utilizing in-depth interviews and document analysis to examine AI utilization in selected radio and television stations in Kano. The Technology Acceptance Model (TAM) and Technological Determinism Theory provide the theoretical foundation for the study. Findings indicate that although AI adoption in Kano’s broadcast media industry is still at an emerging stage, several media organizations and practitioners have begun utilizing AI-powered tools for news writing, transcription, voice editing, automated scheduling, translation, audience analytics, and social media management. The study further reveals that AI has improved newsroom efficiency, speed of content production, and audience reach. However, inadequate funding, poor technological infrastructure, irregular power supply, limited professional training, ethical concerns, and fear of job displacement remain major barriers to effective AI integration. The paper concludes that AI possesses significant potential to transform broadcast media practice in Kano State if strategically implemented through institutional investment, policy support, professional capacity building, and ethical regulation. The study recommends increased technological training for media professionals, improved digital infrastructure, collaboration between media institutions and technology providers, and the formulation of clear ethical guidelines for AI use in journalism and broadcasting.

Artificial Intelligence, Broadcast Media, Journalism Practice

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