AI-Driven transformation of traditional sociomanagerial interactions: communicative aspect

The article considers the issue of the communicative interactions’ transformation within private organizations in response to artificial intelligence integration into the management cycle. Given the inevitability of AI adoption for maintaining competitive advantage, companies confront previously unobserved negative consequences for internal communication, which were absent in traditional management frameworks and thus remain understudied. The relevance of this study stems from the lack of systematic reflection on the implications of AI implementation for organizational communication processes. Consequently, the author attempts to analyze these effects based on existing empirical evidence.  The study draws on empirical data from public reports of international corporations (e.g., Amazon, Haier), consulting firms (e.g., McKinsey, Gartner), and specialized research institutions (e.g., MIT Sloan). Several key trends were identified: a shift toward decentralized communication models, hybrid interaction formats, gamification of workflows, and the application of biometric technologies for personalized engagement. The author highlights major associated risks, including: algorithmic bias against employees, dehumanization of labor, cybersecurity threats, cultural fragmentation, asynchronous environments conflicts, social isolation of employees, job cuts, the need for continuous motivation systems, monitoring, and communication standards improvement. Mitigating these effects involves creating adequate regulatory frameworks and clarifying corporate values, as modern management is taking on the characteristics of a hybrid discipline focused on integrating technological efficiency and social engagement. Under these circumstances, employees at various levels are expected not only to develop digital literacy but also to be prepared to regularly reassess management principles.

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