A Human Capital Audit Framework: Detecting Capability Impairment in Organizations and Economies


Authors : Ravi Kumar Neelayapalem

Volume/Issue : Volume 11 - 2026, Issue 1 - January


Google Scholar : https://tinyurl.com/xarj29st

Scribd : https://tinyurl.com/3ueu67pa

DOI : https://doi.org/10.38124/ijisrt/26jan745

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Despite sustained investment in education, skills development, and workforce expansion, many organizations and economies continue to experience stagnant productivity, declining engagement, and increasing execution risk. Traditional accounting, governance, and policy systems treat human capital primarily as a cost or labor input rather than as an economic asset subject to deterioration and misallocation. As a result, early-stage human capital impairment remains largely invisible until financial or institutional failure occurs. This paper proposes a conceptual Human Capital Audit Framework designed to identify capability deterioration before it manifests in economic outcomes. Drawing on interdisciplinary insights from human capital theory, organizational governance, labor economics, and emerging AI-era workforce dynamics, the framework identifies six recurring domains where human capital degradation originates: education-to-deployment misalignment, skill–credential signal failure, leadership judgment suppression, performance measurement distortion, AI substitution exposure, and measurement blindness in macroeconomic and accounting indicators. The paper reframes human capital as an auditable economic asset and introduces impairment logic analogous to intangible asset testing. The proposed framework offers a structured early-warning mechanism for organizations, regulators, and policymakers and establishes a foundation for future empirical research into human capital valuation and governance.

Keywords : Human Capital Audit, Human Capital Impairment, Workforce Governance, GDP Blindness, AI and Work.

References :

  1. G. S. Becker, Human Capital: A Theoretical and Empirical Analysis, University of Chicago Press, Chicago, 1964.
  2. Organisation for Economic Co-operation and Development (OECD), Skills and Productivity: The Role of Human Capital, OECD Publishing, Paris, 2019.
  3. World Economic Forum, The Future of Jobs Report,  World Economic Forum, Geneva, 2020.

Despite sustained investment in education, skills development, and workforce expansion, many organizations and economies continue to experience stagnant productivity, declining engagement, and increasing execution risk. Traditional accounting, governance, and policy systems treat human capital primarily as a cost or labor input rather than as an economic asset subject to deterioration and misallocation. As a result, early-stage human capital impairment remains largely invisible until financial or institutional failure occurs. This paper proposes a conceptual Human Capital Audit Framework designed to identify capability deterioration before it manifests in economic outcomes. Drawing on interdisciplinary insights from human capital theory, organizational governance, labor economics, and emerging AI-era workforce dynamics, the framework identifies six recurring domains where human capital degradation originates: education-to-deployment misalignment, skill–credential signal failure, leadership judgment suppression, performance measurement distortion, AI substitution exposure, and measurement blindness in macroeconomic and accounting indicators. The paper reframes human capital as an auditable economic asset and introduces impairment logic analogous to intangible asset testing. The proposed framework offers a structured early-warning mechanism for organizations, regulators, and policymakers and establishes a foundation for future empirical research into human capital valuation and governance.

Keywords : Human Capital Audit, Human Capital Impairment, Workforce Governance, GDP Blindness, AI and Work.

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