International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Informative Article | Engineering Science | India | Volume 12 Issue 7, July 2023

Rise of the Machines: The Potential Threat of AI to Engineering Jobs

Danish Gul

Abstract: The rapid advancement of Artificial Intelligence (AI) has led to its widespread adoption in various industries, including engineering. While AI offers significant potential for automation, optimization, and problem - solving, concerns have arisen regarding its impact on human engineers. This article explores the topic of AI in engineering as a potential threat to the role and future of human engineers. The article begins by outlining the benefits of AI in engineering, including increased efficiency, improved accuracy, and faster design iterations. AI's capabilities in data analysis, predictive modeling, and autonomous systems are highlighted, showcasing its potential to revolutionize engineering practices. However, the article delves into the potential threats that AI poses to human engineers. One of the primary concerns is job displacement, as AI - driven automation can replace routine and repetitive tasks traditionally performed by human engineers. This raises questions about the future employability and skill requirements for engineers in an increasingly AI - driven industry. Moreover, the article recognizes the limitations of AI in engineering. While AI excels in data - driven tasks, it may lack the creativity, intuition, and adaptability that human engineers bring to the table. The article argues that a symbiotic relationship between AI and human engineers, where AI is used as a tool to augment human capabilities, can lead to more effective and innovative engineering solutions.

Keywords: Artificial Intelligence, Engineering, Autonomous Systems, Predictive Modeling, Precision Manufacturing, Job Displacement, Natural Language Processing, Convolutional Neural Networks, Recurrent Neural Networks

Edition: Volume 12 Issue 7, July 2023,

Pages: 48 - 50

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