The Impact of Generative Artificial Intelligence Technologies on Software Developer Employment

Uğur Yavuz

Makale detayları

The Impact of Generative Artificial Intelligence Technologies on Software Developer Employment

Yazarlar:

Uğur Yavuz

Yayıncı:

Tokat Gaziosmanpasa University

Ana Başlıklar:

Yapay Zeka (Diğer)

Dergi:

Niksar Akademik Çalışmalar Dergisi Vol.2 Issue 1, pp.26-48

Belge Tipi:

Makale

Yayın Tarihi:

8/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001357674

pISSN:

3062-4312

Anahtar kelimeler:

Özet:

 This study comprehensively examines the impact of generative artificial intelligence AI technologies on software developer employment. Recently, large language models like ChatGPT and code generation tools like GitHub Copilot have become rapidly widespread in software development processes. Analysis, conducted using literature review and current statistical data, demonstrates that generative AI is transforming the software industrys workforce. Generative AI increases developer productivity, speeds up the coding process, and enables the automation of routine tasks. Indeed, research shows that software teams using AI tools complete certain tasks up to 55 faster than traditional methods. However, findings suggest that these technologies alone are not causing mass unemployment; rather, they are transforming the nature of work and creating new skill requirements. A significant portion of developers are adopting AI tools and integrating them into their business processes. For example, in global surveys, approximately 70 of software developers report currently using or plan to use AI-enabled tools. At the same time, only 12 of developers are concerned that AI will displace their current jobs. This suggests that generative AI is bringing about a transformation process based on human-AI collaboration rather than a widespread wave of technological unemployment. However, the increase in automation, particularly in routine and entry-level software tasks, raises concerns that opportunities for new developers may be diminished. This study discusses this dual impact with a theoretical framework and current data, analyzing how generative AI positions itself in the labor market within the context of skill polarization, technological unemployment models, and creative destruction. Finally, the findings provide policy recommendations for areas such as education policies, curriculum updates, employment strategies, and social security measures, outlining a roadmap for ensuring the sustainability of software developer employment in the age of generative AI.

 This study comprehensively examines the impact of generative artificial intelligence AI technologies on software developer employment. Recently, large language models like ChatGPT and code generation tools like GitHub Copilot have become rapidly widespread in software development processes. Analysis, conducted using literature review and current statistical data, demonstrates that generative AI is transforming the software industrys workforce. Generative AI increases developer productivity, speeds up the coding process, and enables the automation of routine tasks. Indeed, research shows that software teams using AI tools complete certain tasks up to 55 faster than traditional methods. However, findings suggest that these technologies alone are not causing mass unemployment; rather, they are transforming the nature of work and creating new skill requirements. A significant portion of developers are adopting AI tools and integrating them into their business processes. For example, in global surveys, approximately 70 of software developers report currently using or plan to use AI-enabled tools. At the same time, only 12 of developers are concerned that AI will displace their current jobs. This suggests that generative AI is bringing about a transformation process based on human-AI collaboration rather than a widespread wave of technological unemployment. However, the increase in automation, particularly in routine and entry-level software tasks, raises concerns that opportunities for new developers may be diminished. This study discusses this dual impact with a theoretical framework and current data, analyzing how generative AI positions itself in the labor market within the context of skill polarization, technological unemployment models, and creative destruction. Finally, the findings provide policy recommendations for areas such as education policies, curriculum updates, employment strategies, and social security measures, outlining a roadmap for ensuring the sustainability of software developer employment in the age of generative AI.

 This study comprehensively examines the impact of generative artificial intelligence AI technologies on software developer employment. Recently, large language models like ChatGPT and code generation tools like GitHub Copilot have become rapidly widespread in software development processes. Analysis, conducted using literature review and current statistical data, demonstrates that generative AI is transforming the software industrys workforce. Generative AI increases developer productivity, speeds up the coding process, and enables the automation of routine tasks. Indeed, research shows that software teams using AI tools complete certain tasks up to 55 faster than traditional methods. However, findings suggest that these technologies alone are not causing mass unemployment; rather, they are transforming the nature of work and creating new skill requirements. A significant portion of developers are adopting AI tools and integrating them into their business processes. For example, in global surveys, approximately 70 of software developers report currently using or plan to use AI-enabled tools. At the same time, only 12 of developers are concerned that AI will displace their current jobs. This suggests that generative AI is bringing about a transformation process based on human-AI collaboration rather than a widespread wave of technological unemployment. However, the increase in automation, particularly in routine and entry-level software tasks, raises concerns that opportunities for new developers may be diminished. This study discusses this dual impact with a theoretical framework and current data, analyzing how generative AI positions itself in the labor market within the context of skill polarization, technological unemployment models, and creative destruction. Finally, the findings provide policy recommendations for areas such as education policies, curriculum updates, employment strategies, and social security measures, outlining a roadmap for ensuring the sustainability of software developer employment in the age of generative AI.

 Bu çalışmada, üretken yapay zekâ YZ teknolojilerinin yazılım geliştirici istihdamı üzerindeki etkileri kapsamlı bir biçimde incelenmektedir. Son dönemde ChatGPT gibi büyük dil modelleri ve GitHub Copilot gibi kod üretme araçları, yazılım geliştirme süreçlerinde hızla yaygınlaşmıştır. Literatür taraması ve güncel istatistiksel veriler ışığında yapılan analiz, üretken YZnin yazılım sektöründe işgücü dönüşümüne yol açtığını göstermektedir. Üretken YZ, geliştiricilerin verimliliğini artırarak kodlama sürecini hızlandırmakta ve rutin görevlerin otomasyonunu mümkün kılmaktadır. Nitekim araştırmalar, YZ araçları kullanan yazılım ekiplerinin belirli görevleri geleneksel yöntemlere kıyasla 55e varan oranda daha hızlı tamamladığını ortaya koymaktadır. Ancak elde edilen bulgular, bu teknolojilerin tek başına toplu işsizliğe yol açmadığını, aksine işin niteliğini dönüştürdüğünü ve yeni beceri gereksinimleri doğurduğunu göstermektedir. Geliştiricilerin büyük bölümü, YZ araçlarını benimsemekte ve iş süreçlerine entegre etmektedir. Örneğin, küresel anketlerde yazılım geliştiricilerinin yaklaşık 70i YZ destekli araçları halihazırda kullandığını veya kullanmayı planladığını belirtmektedir. Aynı zamanda, geliştiricilerin sadece 12si YZnin mevcut işlerini ellerinden alacağı yönünde endişe taşımaktadır. Bu durum, üretken YZnin yaygın bir teknolojik işsizlik dalgasından ziyade insan-yapay zekâ işbirliği temelinde bir dönüşüm süreci getirdiğine işaret etmektedir. Bununla birlikte, özellikle rutin ve giriş seviyesi yazılım görevlerinde otomasyonun artması, mesleğe yeni başlayan geliştiriciler için fırsatların azalabileceğine dair bazı endişeleri de beraberinde getirmektedir. Çalışmada kuramsal çerçeve ve güncel veriler eşliğinde bu ikili etki tartışılmakta; üretken yapay zekânın işgücü piyasasında beceri kutuplaşması, teknolojik işsizlik modelleri ve yaratıcı yıkım kavramları bağlamında nasıl konumlandığı analiz edilmektedir. Son olarak, elde edilen bulgular doğrultusunda eğitim politikaları, müfredat güncellemeleri, istihdam stratejileri ve sosyal güvenlik önlemleri gibi alanlarda politika önerileri sunularak, üretken YZ çağında yazılım geliştirici istihdamının sürdürülebilirliğini sağlamaya yönelik yol haritası çizilmektedir.

Makale detayları

The Impact of Generative Artificial Intelligence Technologies on Software Developer Employment

Yazarlar:

Uğur Yavuz

Yayıncı:

Tokat Gaziosmanpasa University

Ana Başlıklar:

Yapay Zeka (Diğer)

Dergi:

Niksar Akademik Çalışmalar Dergisi Vol.2 Issue 1, pp.26-48

Belge Tipi:

Makale

Yayın Tarihi:

8/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001357674

pISSN:

3062-4312

Genrative Artificial Intelligence

Software Developers

employment

technological unemployment

artificial intelligence and employmentÜretken yapay zekâ

Yazılım Gelişticiler

İstihdam

Teknolojik İşsizlik

Yapay Zeka ve İstihdam

Sayı

Makale detayları

Yazarlar: Uğur Yavuz

Yayıncı: Tokat Gaziosmanpasa University

Ana Başlıklar: Yapay Zeka (Diğer)

Dergi: Niksar Akademik Çalışmalar Dergisi Vol.2 Issue 1, pp.26-48

Belge Tipi: Makale

Yayın Tarihi: 8/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001357674

pISSN: 3062-4312

Sayı

Yazarlar:

Uğur Yavuz

Yayıncı:

Tokat Gaziosmanpasa University

Ana Başlıklar:

Yapay Zeka (Diğer)

Dergi:

Niksar Akademik Çalışmalar Dergisi Vol.2 Issue 1, pp.26-48

Belge Tipi:

Makale

Yayın Tarihi:

8/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001357674

pISSN:

3062-4312