Recent research published by The Russian RT outlet, drawing on data from the employment platforms Rabota.ru and SberPodbor, reveals that at least 18 percent of Russians have experimented with neural networks in the job search process. This reveals a growing curiosity about AI tools among job seekers and hints at a broader shift in how candidates approach finding new roles in a competitive market.
When the survey participants were grouped by frequency of use, 18 percent reported that they regularly rely on AI features to assist with their job-hunting efforts. An additional 6 percent indicated they use these technologies only sporadically, while 7 percent said they encounter AI-driven suggestions and capabilities only a few times. The remaining 82 percent walked away from AI-based tools during their job search, suggesting a significant portion of the population has not yet integrated AI into their routine, possibly due to concerns about reliability, privacy, or unfamiliarity with the tools available.
The study also mapped how different professional sectors interact with AI-assisted resources. IT specialists led the adoption with 9 percent using AI tools, followed closely by construction workers at 8 percent. In contrast, professionals in the retail trade and in personnel management reported comparatively lower engagement, at 8 percent and 7 percent respectively. Beyond sector lines, a substantial share of respondents turned to AI for language-related tasks: 39 percent used translation tools, and 35 percent experimented with text generation platforms, including well-known names such as ChatGPT, GigaChat, and YandexGPT. This pattern underscores AI’s expanding role in drafting resumes, tailoring cover letters, and producing concise summaries of job postings in multiple languages or dialects, which can streamline the research and outreach process for candidates across regions.
The survey also highlights how AI supports the interview and documentation phase. Sixteen percent of participants used AI-based tools during interviews or assessment calls, and an equal percentage relied on bots to transcribe audio recordings, enabling job seekers to review conversations later for details they may have missed. In addition, 8 percent experimented with image generation tools like Midjourney and Kandinsky to potentially illustrate portfolios or to visualize project concepts that accompany applications. Taken together, these findings paint a picture of a job market increasingly touched by artificial intelligence, with variable uptake depending on sector, language needs, and personal comfort with technology. The study’s scope included more than 3,500 participants, offering a robust snapshot of how AI features are being integrated into real-world employment searches across the Russian labor landscape.
Looking ahead, the evolving role of AI in recruiting and job searching is likely to expand further as tools become more user-friendly and privacy-conscious, and as employers increasingly expect applicants to demonstrate fluency with modern digital resources. As AI capabilities grow, candidates may find more efficient ways to tailor applications, prepare for interviews, and analyze job postings through intelligent summarization, real-time language translation, and personalized content generation. This trajectory points toward a future where AI-assisted job searching is a common component of career development, even for workers in sectors traditionally slower to adopt new technologies. The data suggests a moment of transition: widespread awareness exists, but actual adoption varies. For many, AI offers a chance to level the playing field by reducing repetitive tasks and enabling more precise matching between skills and opportunities, while for others it remains a tool to be learned and tested before full integration into the job-seeking routine.
In context, Microsoft introduced a new image-creation service, signaling broader industry momentum toward AI-enabled creative tools that can complement traditional résumés and portfolios. This development aligns with a broader trend where AI services are increasingly bundled with professional platforms, potentially influencing how job seekers present themselves and how hiring teams evaluate candidate profiles. The convergence of AI-assisted language, translation, transcription, and image generation constitutes a multifaceted toolkit that, when used strategically, can enhance both the discovery of opportunities and the clarity of applicant communications across diverse markets and languages.