ARTIFICIAL INTELLIGENCE-DRIVEN ENHANCEMENT OF HUMAN CAPITAL INVESTMENT ATTRACTION MECHANISMS
Keywords:
Human capital, artificial intelligence, investment attraction, investment mechanisms, investment efficiency, machine learning, digital economy, workforce analytics, big data, labor market, digital skills.Abstract
This article explores the role of artificial intelligence (AI) in enhancing mechanisms for attracting investments in human capital within the context of the digital economy. The study examines theoretical foundations, including the Resource-Based View and Dynamic Capabilities Theory, to explain the strategic value of human capital as a key driver of sustainable economic development. Particular attention is devoted to AI-driven solutions such as machine learning, predictive analytics, natural language processing, generative AI, big data analytics, and reinforcement learning that improve decision-making in human capital investment planning and resource allocation.
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References
1 Government of the Republic of Uzbekistan. Digital Uzbekistan 2030 Strategy and related policy documents.
2. General empirical studies on artificial intelligence and human capital investment mechanisms cited in the text.
3. Ministry of Digital Technologies of the Republic of Uzbekistan; Ministry of Economy and Finance of the Republic of Uzbekistan. Joint analytical materials on priority digital specializations.
4. Asian Development Bank. Reports on labor market-oriented skills development and graduate employment outcomes.
5. World Bank. Human Capital and Returns to Investment Reports.
