IJSDIP | International Journal of System Design & Info Processing

Future-Proofing the Workforce: Strategic Upskilling and Reskilling Frameworks in the Era of Artificial Intelligence

Paper ID:

IJSDIP_2024_VOLUME 12_ISSUE 4_141-144

Author's Name:

Ms Sakshi Gontiya

Volume:

Issue:

Issue 4

Year:

2024

Pages:

141-144

Abstract

The rapid structural convergence of agentic artificial intelligence, algorithmic automation, and multi-step cognitive systems has completely redefined the corporate human capital architecture. As modern job descriptions experience an unprecedented shift in baseline skill half-lives, legacy strategic human resource management (SHRM) paradigms must pivot aggressively from routine administrative onboarding toward deep workforce upskilling and reskilling models. This research presents an empirically validated framework for labor force re-adaptation in the AI era. Using a convergent mixed-methods research design, quantitative data were gathered from a highly diversified multi-sector cohort of N = 450 corporate human resource development directors, chief learning officers, and senior organizational development practitioners. Structural Equation Modeling (SEM) demonstrated that structured workflow-embedded upskilling paths, transparent role-pivoting reskilling architectures, and explicit support for psychological safety account for 61% of the total variance in enterprise digital transition capability and workforce retention optimization (p < .001). Qualitative thematic text analysis identified a persistent structural friction point characterized by 'critical thinking atrophy' and labor force anxiety stemming from opaque corporate communication regarding human-automation collaboration profiles. Based on these insights, we introduce the 'Socio-Technical Upskilling and Reskilling Matrix' (STURM), which provides human resource practitioners and executive boards with a definitive, scalable execution vector for long-term capability optimization, asset realignment, and sustainable market competitiveness.

Keywords

Future-Proofing the Workforce, Strategic Upskilling, Reskilling Frameworks, AI

References

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