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From Automation to Augmentation: How Generative AI Is Reshaping the Global Workforce
Abstract
Generative artificial intelligence (AI) is transforming the global workforce by shifting the focus from traditional automation toward human–AI augmentation. While earlier waves of automation primarily replaced routine, rule-based tasks, generative AI now enhances creativity, decision-making, and complex problem-solving across industries. This shift has major implications for productivity, workforce skill requirements, and organisational structures. The technology enables faster content generation, improved data analysis, personalised customer interactions, and streamlined operational workflows. At the same time, it introduces new challenges related to job displacement risks, ethical concerns, skill mismatches, and the need for responsible governance frameworks. This paper examines how generative AI is reshaping labour markets worldwide by augmenting human capabilities rather than merely substituting labour. It analyses industry-level transformations, emerging patterns of human–AI collaboration, and the policy and training interventions required to ensure an inclusive and future-ready workforce. Ultimately, the study argues that generative AI holds the potential to unlock significant economic and social value when deployed responsibly and aligned with long-term human development goals.
Article information
Journal
British Journal of Multidisciplinary Studies
Volume (Issue)
3 (1)
Pages
08-15
Published
Copyright
Open access

This work is licensed under a Creative Commons Attribution 4.0 International License.

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