American International Journal of Research and Innovation

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Volume 8 Issue 5
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Public Perceptions of Automation and the Future of Employment

Author(s) Taewoo Nam
Country United States
Abstract The rapid advancement of automation technologies, including artificial intelligence, robotics, and intelligent digital systems, has significantly transformed discussions regarding the future of employment. Automation has created opportunities for improved productivity, operational efficiency, and innovation; however, it has also generated public concerns regarding job displacement, changing skill requirements, and employment uncertainty. Understanding public perceptions of automation is essential for developing effective workforce strategies and policies that support technological adaptation.
This study examines public perceptions of automation and its influence on expectations regarding the future of employment through a simulation-based analytical framework. The research evaluates how perceived employment risks, technology acceptance, skill adaptability, and confidence in future work opportunities influence attitudes toward automation.
A simulated dataset representing different levels of public perception regarding automation and employment transformation was developed to analyse relationships between technological awareness and employment expectations.
The findings indicate that public perceptions of automation are influenced by both potential economic benefits and concerns regarding workforce disruption. Individuals with higher awareness of technological change demonstrate greater acceptance of automation when accompanied by opportunities for skill development and career adaptation. However, concerns related to job security, inequality, and insufficient reskilling opportunities remain important barriers affecting public confidence.
The study highlights that automation should be understood as a transformation of employment structures rather than only a threat to jobs. Successful adaptation requires investment in education, workforce training, digital skills development, and inclusive employment policies. The research contributes to understanding how public attitudes influence the social acceptance of automation and the future direction of work.
Keywords Automation, Future of Employment, Public Perception, Artificial Intelligence, Workforce Transformation, Digital Skills, Labour Market Change.
Field Engineering
Published In Volume 5, Issue 3, May-June 2023
Published On 2023-06-13
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