Rutin İşlerin Türkiye İşgücü Piyasasındaki Dönüşümü: Yapay Zekâ ve Teknolojik Değişimin İstihdam Üzerindeki Etkilerine İlişkin Nicel Bir Analiz (2014–2024)

Öz

Bu çalışma, 2014–2024 döneminde Türkiye işgücü piyasasının iş görevi yoğunluğu açısından geçirdiği dönüşümü nicel olarak incelemektedir. Mihaylov ve Tijdens’in (2019) ISCO-08 görev veri seti ile TÜİK istihdam verileri kullanılarak, teknolojik ilerleme ve yapay zekâ destekli otomasyonun yön verdiği önemli yapısal değişimler belirlenmiştir. Bulgular, rutin olmayan bilişsel işlerin payının %5,2 arttığını; rutin manuel ve rutin olmayan manuel işlerin ise sırasıyla %3,3 ve %1,8 azaldığını göstermektedir. Bu durum, bilgi temelli sektörlere geçişi ve artan istihdam kutuplaşmasını ortaya koymaktadır. Yüksek vasıflı mesleki ve teknik roller genişlerken, orta vasıflı tarım ve zanaatkârlık alanları daralmıştır. Ücret yapıları, rutin olmayan bilişsel işlerde yoğunlaşan yüksek vasıflı grupları lehine şekillenmiş; cinsiyete dayalı ücret eşitsizliği ise sürmüştür. Çalışma, mesleki eğitim reformları, hedefli teşvikler ve kapsamlı yeniden beceri kazandırma programlarının işgücü piyasasının teknolojik değişime uyumunu güçlendireceğini vurgulamaktadır.

Anahtar Kelimeler

• Rutin İşler
• İstihdam Kutuplaşması
• Yapay Zekâ
• Otomasyon
• Türkiye İşgücü Piyasası

Transformation of Routine Jobs in the Türkiye Labor Market: A Quantitative Analysis of the Effects of Artificial Intelligence and Technological Change on Employment (2014–2024)

Öz

This study quantitatively analyzes the transformation of Türkiye’s labor market between 2014 and 2024 in terms of job task intensity. Using Mihaylov and Tijdens’ (2019) ISCO-08 task dataset and TurkStat employment data, it identifies major structural shifts driven by technological progress and artificial intelligence–assisted automation. The share of non-routine cognitive jobs increased by 5.2%, while routine manual and non-routine manual jobs declined by 3.3% and 1.8%, respectively. These findings indicate a transition toward knowledge-based sectors and growing employment polarization. High-skilled professional and technical roles expanded, whereas middle-skilled occupations, including skilled agriculture and artisanal work, contracted. Wage structures increasingly favored high-skilled, non-routine cognitive occupations, while gender pay disparities persisted. The study underscores the need for vocational education reforms, targeted incentives, and large-scale reskilling programs to enhance labor market adaptability to technological change.

Anahtar Kelimeler

• Routine Jobs
• Employment Polarization
• Artificial İntelligence
• Automation
• Türkiye Labor Market

Kaynakça

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