System challenges for regional news media in the implementation of neural networks in media production

Section: Artificial Intelligence in Media and Communication Studies

We hereby present a study of the introduction of artificial intelligence (AI) in regional editorial offices in Russia. Interviews in three types of media showed the prerequisites for future systemic challenges in the journalistic profession. We name the key new dimensions of transformation, including the widening gap between the editorial offices that have introduced technology into media production and those who have not yet completed the transformation on social media and therefore cannot move to the next level, the widening gap in literacy and audience awareness, the growing cleavage between AI-literate journalists and conservative media managers, and vice versa, and the widening income gap between those who optimized both the news production and social media management, and those who still base their work in digital media on manual labor.

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To cite this article: Nigmatullina K. R., Kasymov R. M., Polyakov A. K. (2025) Sistemnye vyzovy dlya regional’nykh redaktsiy pri vnedrenii neyrosetey v mediaproizvodstvo [System challenges for regional news media in the implementation of neural networks in media production].Vestnik Moskovskogo Universiteta. Seriya 10. Zhurnalistika 5: 156–178. DOI: 10.55959/msu.vestnik.journ.5.2025.156178