The Impact of Automation and Artificial Intelligence on Employment Dynamics in Pakistan's Manufacturing Sector
DOI:
https://doi.org/10.5281/zenodo.14028712Keywords:
Automation, Artificial Intelligence (AI), Employment Dynamics, Job Displacement, Labor Market, Workforce Development, Skill Requirements, Reskilling, UpskillingAbstract
The study titled The Impact of Automation and Artificial Intelligence on Employment Dynamics in Pakistan's Manufacturing Sector" was planned to understand the effects of automation and AI on employment in Pakistan's manufacturing sector. The investigation was concerned with the influence of a rising uptake of these technologies in job creation, skill demands, and labor displacement. It also evaluated various industries' technological preparedness levels for AI-led revolution and organizations' and policymakers' competitive and sectoral response. Through the statistical data on employment, the research determined the areas exposed to automation risks – however, the study only provided a math estimate of the number of jobs that could be potentially threatened by automation. The research also raised awareness of re-skilling and the creation of new competencies, especially in emerging technologies such as artificial intelligence, data science, robotics and machine learning. The research highlighted the need for policymakers to intervene, develop viable trade skills and talents for the workforce, and for businesses to get together to reduce job losses and benefit from the opportunities created by automation. The control group study also affirmed, thus, the need for a proactive approach to policy measures designed not only to address the social implications of automation or the changes in the occupational structure towards AI-intensive work but also to support the required strengthening of the links between skills development and the demands of modern manufacturing in Pakistan.
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Copyright (c) 2024 Aliza Tabassam, Hamza Khalil Chaudhary, Tabrez Nawaz, Shoket Ali
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).