Corporate Strategies for Successful Workforce Upskilling and Reskilling in Response to AI Adoption - What Works, What Does not, and Why
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V6I1P112Keywords:
AI Adoption, Corporate Strategy, Workforce Upskilling, Reskilling, Organizational Learning, Dynamic Capabilities, Strategic Human Resource Management, Digital Transformation, Workforce Readiness, Learning Culture, Organizational AgilityAbstract
The swift adoption of artificial intelligence (AI) in industries from 2018-2022 changed the world by altering workforce skill requirements, forcing corporations to redesign their learning systems to stay competitive. It is a literature-based, conceptual work that explores corporate approaches to succeeding in upskilling and reskilling in response to AI adoption— what works, what does not, and why. Based on the organization learning theory, the dynamic capabilities framework, and strategic human resource management (SHRM), the paper summarizes empirical and policy data from top corporations (e.g., Amazon, Microsoft, IBM) and cross-border institutions (OECD, WEF, McKinsey & Company). The suggested conceptual framework connects AI adoption to the design of strategic learning, workforce readiness, and organizational agility, which is moderated by leadership commitment and learning culture. The evidence window analysis of the 2018-2022 period indicates that organizations that incorporated AI training into their business strategy, leadership engagement, and inclusive learning cultures achieved better innovation and productivity outcomes. On the other hand, companies with poor strategic alignment or an inability to measure impact had low engagement and skills incompatibility. Some policy suggestions include integrating AI literacy into national education policies, encouraging corporate funding of learning, and developing interoperable digital learning systems. In general, the research finds that effective AI transformation requires not so much the use of technology as the adaptability of humans, whether institutions can learn, and how the world can collaborate to develop equitable and sustainable workforce ecosystems
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