Industrial Revolutions and Automation: Tracing Economic and Social Transformations of Manufacturing

The rapid evolution of automation has become a defining phenomenon of the modern era, underscoring its great influence on industries and economies. Since the First Industrial Revolution, advancements in technology have consistently transformed manufacturing processes, progressively introducing mechanization, electrification, and digitalization. The current Fifth Industrial Revolution incorporates these changes through the integration of robotics, cobots (collaborative robots), and AI-driven (Artificial Intelligence) systems, representing unprecedented levels of human–machine collaboration. This paper examines the historical evolution of automation and industrial robotics and, based on the current state of the art, highlights the current standing of its economic and societal impacts. The adoption of automation and robotization in the supply chain and manufacturing has significantly enhanced productivity and precision, reducing errors and operational costs. However, it has also contributed to job displacement, especially in repetitive and manual tasks, necessitating the reskilling of the human workforce. Automation brings two main financial effects: it reduces long-term labor costs and boosts efficiency, but the upfront investments in advanced robotics and infrastructure are significant. Understanding these dynamics is crucial for navigating the challenges and opportunities presented by automation, which ensures a balanced approach to economic growth, workforce development, and technological adoption across all sectors influenced by successive industrial revolutions.

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Publication Details

Journal
Societies
Published
2025-03-29
DOI
https://doi.org/10.3390/soc15040088
Citations
10
Primary Topic
Economic Development and Digital Transformation
Type
article
Field-Weighted Citation Impact
30.85
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article

Industrial Revolutions and Automation: Tracing Economic and Social Transformations of Manufacturing

László Soltész, Péter Galambos, Bence Márk Szeszák, István Gergely Kerékjártó
10 citations
Societies
Economic Development and Digital Transformation
30.85
article

Industrial Revolutions and Automation: Tracing Economic and Social Transformations of Manufacturing

László Soltész, Péter Galambos, Bence Márk Szeszák, István Gergely Kerékjártó
article en
10 citations

Abstract

The rapid evolution of automation has become a defining phenomenon of the modern era, underscoring its great influence on industries and economies. Since the First Industrial Revolution, advancements in technology have consistently transformed manufacturing processes, progressively introducing mechanization, electrification, and digitalization. The current Fifth Industrial Revolution incorporates these changes through the integration of robotics, cobots (collaborative robots), and AI-driven (Artificial Intelligence) systems, representing unprecedented levels of human–machine collaboration. This paper examines the historical evolution of automation and industrial robotics and, based on the current state of the art, highlights the current standing of its economic and societal impacts. The adoption of automation and robotization in the supply chain and manufacturing has significantly enhanced productivity and precision, reducing errors and operational costs. However, it has also contributed to job displacement, especially in repetitive and manual tasks, necessitating the reskilling of the human workforce. Automation brings two main financial effects: it reduces long-term labor costs and boosts efficiency, but the upfront investments in advanced robotics and infrastructure are significant. Understanding these dynamics is crucial for navigating the challenges and opportunities presented by automation, which ensures a balanced approach to economic growth, workforce development, and technological adoption across all sectors influenced by successive industrial revolutions.

SocietiesVol. 15(4)
Obuda University (HU), Emerson (Sweden) (SE)
Openalex Percentile: Top 0%
Economic Development and Digital Transformation
30.85
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