AI in recruiting: nearly half of Russian companies have already entrusted personnel selection to algorithms
The labor market in Russia is undergoing a fundamental transformation. According to my analysis of the latest data, 49% of employers are already actively using artificial intelligence in the hiring process, and another 21% plan to implement these technologies in the near future. In total, this means that 70% of companies have either already automated recruitment or are on the verge of taking this step.
Where algorithms replace routine tasks
The most in-demand use case for AI turned out to be writing job descriptions — 64% of respondents have entrusted this task to neural networks. In second place is transcribing and analyzing interviews, used by 36% of companies. Next comes generating personalized letters to candidates (31%), as well as initial resume screening and ranking of applicants — 29% each.
Businesses have already assessed the effect of implementing these technologies. 55% of companies note a reduction in the volume of routine tasks, 36% report a decreased workload for recruiters, and 20% see faster vacancy filling. However, budgets for automation remain modest so far: about 68% of organizations spend less than 500,000 rubles per year, and only 5% allocate over 2 million rubles.
Barriers and mistrust
Despite the obvious advantages, a significant portion of the market remains skeptical. 46% of companies that have refused AI or do not plan to implement it consider the human factor critically important. 41% fear algorithmic bias, 32% cite a lack of expertise, and 29% doubt the return on investment. Among other obstacles are limited budgets, the requirements of Federal Law No. 152-FZ "On Personal Data," and risks of information leaks.
This is only part of a large-scale technological shift. According to Sber's estimates, generative technologies will add 1.2 percentage points to labor productivity, primarily in office professions. The country's AI market grew by 29.7% in 2025, reaching 316.1 billion rubles, and by 2030 the baseline scenario assumes growth to 830 billion. The state, in turn, is shaping the regulatory framework: from implementing sovereign neural networks to working groups on copyright for AI-generated content.
My view: Recruitment automation is not a trend but a new reality that will only deepen. Companies that fail to overcome their fear of algorithms and build hybrid processes risk losing the battle for talent. The key question is not "will AI replace the recruiter," but "how to redistribute roles so that humans handle strategy while machines handle routine."