Application areas of modern digital technologies and artificial intelligence for improving the efficiency of employees in IT companies

Abstract

The purpose of the study to systematize the areas of applying modern digital technologies and artificial intelligence that actually improve employee efficiency in IT companies, and to identify the conditions under which this gain is achieved. The methodology relies on comparative and content analysis of Russian and international studies published in 2023–2026, as well as on secondary analysis of empirical data from HSE University, RUSSOFT, Selectel, Stack Overflow, McKinsey, Stanford HAI, Microsoft Research, GitHub and DORA. It is based on the author's interpretation of IT labor efficiency as a multi-component category. The findings show that the greatest managerial effect comes not from the isolated adoption of individual tools, but from their assembly into four interconnected contours — production-engineering, coordination-knowledge, HR-analytical and developmental-cultural. Digital technologies and AI raise performance by reducing the time of routine operations, cutting coordination losses, accelerating access to corporate knowledge, improving the quality of managerial decisions, expanding hiring and retention options, and personalizing learning. At the same time, without redesigning the managerial contour, a local gain in speed is accompanied by risks: a decline in delivery stability, reduced trust in model output, and slower skill accumulation among junior employees. The novelty lies in the author's integrated managerial model of digital technology and AI application for IT companies, shifting the focus from local automation to the design of the digital work environment. The practical significance is determined by the applicability of the results in building systems of performance management, training, recruitment and digital team collaboration.