İkiz Dönüşüm ve İşgücü Piyasasının Dönüşümü: Yapay Zekâ Destekli Yeşil Büyüme İçin Kavramsal Bir Çerçeve

Abstract

Yeşil ve dijital dönüşümler kendiliğinden kapsayıcı büyüme üretmez. Bu süreçler farklı işgücü piyasası dinamikleri üzerinden etkileşir: yeşil yapısal değişim istihdamı sektörler ve bölgeler arasında yeniden dağıtırken, yapay zekâ (YZ) işyerlerindeki görevleri ve otoriteyi yeniden düzenler. Makale, bu etkileşimin hangi koşullarda YZ destekli yeşil büyümeyi destekleyebileceğini inceleyen süreç-temelli bir kavramsal çerçeve geliştirmektedir. Bütünleştirici inceleme, hakemli akademik çalışmaları güncel karşılaştırmalı raporlarla bir araya getirmektedir. Çerçeve, yeşil yeniden yapılanma ve YZ kullanımından sektörel yeniden tahsis ile görev/işyeri yeniden örgütlenmesine, oradan da çevresel performans, verimlilik, istihdama erişim, iş kalitesi ve bölüşüm sonuçlarına uzanan yönlü bir ilişki kurmaktadır. Beceri oluşumu, hareketlilik, iş tasarımı, çalışanların söz hakkı ve sosyal koruma gibi uyum düzenlemeleri ile sektörel ve kurumsal bağlam bu sürecin nasıl ilerleyeceğini belirlemektedir. Makale istatistiksel bir model tahmin etmediği için bu unsurlar bağımsız, bağımlı, aracı veya düzenleyici değişkenler olarak tanımlanmamaktadır. Çerçeve, YZ’nin emeği tamamladığı ve verimlilik kazançlarının paylaşıldığı olanak sağlayıcı yol ile iş kaybı, gözetim, eşitsiz değer paylaşımı ve ekolojik maliyetlerin dışsallaştırıldığı olumsuz yolu ayırmaktadır. Altı önerme, gelecekteki görgül araştırmalar için incelenebilir ilişkiler sunmaktadır. Yenilenebilir elektrik değer zinciri uygulaması ise emek etkilerinin imalat, inşaat ve işletme aşamalarında neden farklılaştığını göstermektedir.

Keywords

• ikiz dönüşüm
• yapay zekâ
• işgücü piyasası uyumu
• adil geçiş
• yeşil büyüme.

The Twin Transition and Labor Market Transformation: A Conceptual Framework for AI-Enabled Green Growth

Abstract

The green and digital transitions do not automatically produce inclusive growth. They interact through distinct labour-market processes: green structural change reallocates employment across sectors and places, whereas artificial intelligence (AI) reorganises tasks and authority within workplaces. This article develops a process-based conceptual framework for examining when their interaction can support AI-enabled green growth. An integrative review brings together peer-reviewed research and recent comparative reports. The framework follows a directional sequence in which green restructuring and AI deployment generate sectoral reallocation and task/workplace reorganisation. Labour-market adjustment arrangements and structural context then shape how these mechanisms lead to environmental, productivity, employment, job-quality, and distributive outcomes. These elements are not specified as independent, dependent, mediator, or moderator variables because the article does not estimate a statistical model. The framework distinguishes an enabling pathway based on labour augmentation and shared productivity gains from an adverse pathway involving displacement, surveillance, unequal value capture, and ecological externalisation. Six propositions identify relationships for subsequent empirical examination. A renewable-electricity value-chain application illustrates why AI exposure and labour effects differ across manufacturing, construction, and operations. The contribution is a power-sensitive account that treats environmental improvement and decent work as joint and institutionally contingent outcomes. Keywords: twin transition, artificial intelligence, labour-market adaptation, just transition, green growth.

Keywords

• twin transition
• artificial intelligence
• labour-market adaptation
• just transition
• green growth.

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