As artificial intelligence transitions from a technological novelty to a core economic driver, human capital faces unprecedented structural disruption. The objective of this study is to analyze how AI reshapes skill hierarchies and to formulate evidence-based corporate adaptation strategies. Methodology combines a systematic literature review (2014–2025) with a descriptive case study of Amazon’s “Upskilling 2025” initiative, utilizing secondary analysis of institutional reports and corporate disclosures. The study tests two working hypotheses: (H1) AI integration shifts labor market value from routine technical execution to hybrid cognitive-adaptive competencies; (H2) structured internal upskilling programs significantly mitigate automation risks and enhance workforce resilience. Results indicate that labor market polarization, rather than mass unemployment, represents the primary challenge, with routine cognitive roles facing displacement while adaptive and interpersonal skills gain premium value. Case evidence demonstrates that proactive internal training enhances organizational agility and internal mobility. The study concludes that strategic human capital development requires coordinated corporate and institutional action to ensure inclusive economic growth. Limitations include reliance on publicly available data; future research should incorporate longitudinal microdata across multiple sectors.

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