ENDÜSTRİ 4.0 İLE YAPAY ZEKÂNIN ÇALIŞMA HAYATINA ETKİLERİ ÜZERİNE KARŞILAŞTIRMALI BİR ANALİZ ÇALIŞMASI

Year 2026, Issue: 73, 87 - 101, 02.03.2026

Bilal Ezilmez

https://doi.org/10.30794/pausbed.1757294

https://izlik.org/JA76UW68YP

Abstract

Bu çalışma, Endüstri 4.0 teknolojilerinin çalışma hayatı üzerindeki yapısal etkilerini analiz etmeyi amaçlamaktadır. Endüstriyel ilişkilerin tarihsel dönüşümünü izleyerek, dijitalleşme ve yapay zekânın mesleklerin doğasını ve işgücü yapılarını nasıl yeniden şekillendirdiğini değerlendirmektedir. Araştırma, Dünya Ekonomik Forumu ve TÜİK gibi önemli kaynaklardan elde edilen veriye dayalı nitel bir içerik analizi yaklaşımı kullanmaktadır. Bu tablolardaki veriler, sektörel risk dağılımlarına, mesleki evrime ve değişen işgücü dinamiklerine odaklanarak karşılaştırmalı bir bakış açısıyla incelenmiştir. Otomasyon ve dijital dönüşümün, tekrarlayan ve düşük beceri gerektiren mesleklerde istihdamı önemli ölçüde azaltması ve veri analizi, yapay zekâ ve dijital güvenlik gibi alanlarda talebi artırması beklenmektedir. Bu çalışma, tarihsel, sektörel ve mesleki perspektifleri bir araya getirerek Endüstri 4.0'ın etkilerine dair bütüncül ve görsel destekli bir analiz sunmaktadır. Mevcut alan yazındaki (literatürdeki) birçok parçalı yaklaşımın aksine, dönüşüm sürecini yapılandırılmış ve karşılaştırmalı yorumlarla sentezleyerek politika, işgücü planlaması ve gelecekteki araştırmalar için özgün içgörüler sunmaktadır.

Keywords

Endüstri 4.0 , Yapay zekâ (YZ) , Çalışma hayatı , İstihdam

A COMPARATIVE ANALYSIS STUDY ON THE EFFECTS OF INDUSTRY 4.0 AND ARTIFICIAL INTELLIGENCE ON WORKING LIFE

https://izlik.org/JA76UW68YP

Abstract

This study aims to analyze the structural impacts of Industry 4.0 technologies on working life. Tracing the historical transformation of industrial relations, it evaluates how digitalization, automation, and artificial intelligence are reshaping the workforce structures. The research employs a qualitative content analysis approach based on data derived from major sources such as the World Economic Forum (WEF) and TUIK. The data within these tables are examined through a comparative lens, focusing on sectoral risk distributions, occupational evolution, and the shifting dynamics of labor. Automation and digital transformation are expected to significantly reduce employment in repetitive, low-skill occupations, while generating increased demand in fields such as data analysis, artificial intelligence, and digital security. This study offers a holistic and visually supported analysis of the effects of Industry 4.0 by integrating historical, sectoral, and occupational perspectives. Unlike many fragmented approaches in the existing literature, it synthesizes the transformation process through structured and comparative interpretations, providing original insights for policy, workforce planning, and future research.

Keywords

Industry 4.0 , Artifical intelligence (AI) , Working life , Employment

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