Generative neural networks such as GigaChat cannot yet replace journalists in full. This view comes from Andrey Belevtsev, Senior Vice President and Head of Sberbank Technologies, who shared his thoughts in an interview. He noted that while AI systems are impressive at handling vast datasets and processing information according to defined rules, they do not yet possess the capacity for the kind of abstract thinking, authorial voice, and investigative depth that professional reporting demands.
Belevtsev argues that artificial intelligence, in its present form and in productive services built around it, excels at locating data, organizing it, and managing large information flows. Yet these capabilities do not equate to readiness to supplant human journalists. Instead, he sees neural networks as a powerful assistive tool for media professionals, enabling faster data gathering, better verification, and more efficient workflow when used in tandem with human judgment.
He provides a concrete example: during interviews, a journalist aims to reach the core of a story, understand the person behind the quotes, and convey a clear author’s perspective about what truly matters. According to Belevtsev, artificial intelligence cannot yet replicate the nuanced process of probing interactions that reveal a subject’s authentic stance and subtle motivations.
Beyond interviews, Belevtsev highlights another crucial strength of AI: its superior ability to detect misinformation, particularly in images. In an era where manipulated visuals can sway public opinion, having a reliable method to identify fakes is essential. This capability does not replace human scrutiny but strengthens it, offering a robust checking mechanism that supports responsible reporting.
The discussion also touches on the broader trajectory of Russian artificial intelligence and the potential future role of systems like GigaChat. The evolving landscape suggests that AI will continue to evolve as a complementary tool for journalists, helping professionals verify facts, organize large-scale research, and present data-driven stories with greater speed and accuracy. The central takeaway is clear: AI enhances the journalist’s toolkit, but human insight, ethical judgment, and investigative instincts remain indispensable in producing credible, impactful journalism.