IMPROVING MECHANISMS FOR ATTRACTING INVESTMENT IN HUMAN CAPITAL BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Authors

  • Akhmadaliyeva Nikholakhon

DOI:

https://doi.org/10.5281/zenodo.21233225

Keywords:

human capital, artificial intelligence, investment efficiency, machine learning, digital economy, workforce analytics, big data, Uzbekistan, ROI, labor market, digital skills.

Abstract

This article examines the role of artificial intelligence (AI) technologies in improving mechanisms
for attracting investment in human capital and enhancing their effectiveness. The study analyzes theoretical
approaches such as the Resource-Based View and Dynamic Capabilities Theory, emphasizing the strategic
importance of human capital in the digital economy. Particular attention is given to the integration of AI
technologies, including machine learning, predictive analytics, natural language processing, generative AI,
big data analytics, and reinforcement learning, into human capital management systems. Empirical evidence
shows that AI significantly increases the return on investment (ROI), improves workforce productivity, and
enhances talent retention.

Author Biography

Akhmadaliyeva Nikholakhon

PhD, Tashkent State University of Economics


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Published

2026-05-01