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Journals / Yönetim Bilişim Sistemleri Dergisi / 2026 / Cilt: 12 Sayı: 1

A CONCEPTUAL APPROACH TO THE IMPACT OF TECHNOLOGICAL ADVANCEMENT ON CARBON EMISSIONS WITHIN THE CONTEXT OF ARTIFICIAL INTELLIGENCE AND IOT

YAPAY ZEKÂ VE IOT BAĞLAMINDA TEKNOLOJİK İLERLEMENİN KARBON EMİSYONLARI ÜZERİNDEKİ ETKİSİNE KAVRAMSAL BİR YAKLAŞIM

Özge Ersezer(VAN YÜZÜNCÜ YIL ÜNİVERSİTESİ)0000-0002-7317-6053
Pages
166–176
Publication Date
2026-06-25
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The derived insights are intended to serve as a strategic guide for policymakers and businesses toward optimizing digital transformation with a sustainability vision.

📌 3 Key Takeaways

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Objective & Hypothesis:Climate change, which has become the most critical environmental challenge of the 21st century, is deepening due to increasing energy demands and emission growth linked to fossil fuel consumption.
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Key Findings & Data:In this process, technological progress emerges as both an environmental cost factor and a strategic tool for building sustainability.
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Conclusion & Impact:The derived insights are intended to serve as a strategic guide for policymakers and businesses toward optimizing digital transformation with a sustainability vision.
🔬Design:Modeling & Simulation
📍Scope:2024 Verileri
⚙️Variables:Yapay Zekâ · IoT · Karbon Emisyonu

Abstract

Climate change, which has become the most critical environmental challenge of the 21st century, is deepening due to increasing energy demands and emission growth linked to fossil fuel consumption. While the acceleration of industrialization, urbanization, and digitalization processes supports economic growth, it simultaneously escalates environmental pressures, thereby threatening sustainable development goals. In this process, technological progress emerges as both an environmental cost factor and a strategic tool for building sustainability. Particularly, Artificial Intelligence (AI) and the Internet of Things (IoT) possess the potential to enable resource optimization across a wide spectrum, ranging from production processes to energy management. However, the high computational power required by digitalization, alongside the energy-intensive nature of data centers and cloud computing systems, brings about debates regarding the carbon footprint of technology. While technological advancement drives up energy consumption, it also provides an innovative framework for the decarbonization of the global energy system through smart grids, precision agriculture applications, and real-time emission monitoring systems. This interaction is also discussed in the literature within the frameworks of the Environmental Kuznets Curve and Green AI approaches, indicating that technology may follow a non-linear path regarding emissions, which begins to improve after a certain investment threshold. This study aims to conceptually address the bidirectional impact of technological advancements, shaped around the axis of AI and IoT, on carbon emissions. By discussing the relationship between artificial intelligence and emissions with the most up-to-date literature from 2024 and 2026 (Wang, 2024; Melguizo, 2026), it provides new empirical evidence from an inverted U-curve perspective to counter classic pessimistic approaches in the literature, such as Strubell (2019). The derived insights are intended to serve as a strategic guide for policymakers and businesses toward optimizing digital transformation with a sustainability vision.

Özet

21. yüzyılın en kritik çevresel sorunu haline gelen iklim değişikliği, artan enerji ihtiyacı ve fosil yakıt tüketimine bağlı emisyon artışlarıyla derinleşmektedir. Sanayileşme, kentleşme ve dijitalleşme süreçlerinin ivme kazanması, bir yandan ekonomik büyümeyi desteklerken diğer yandan çevresel baskıları artırarak sürdürülebilir kalkınma hedeflerini tehdit etmektedir. Bu süreçte teknolojik ilerleme hem bir çevresel maliyet unsuru hem de sürdürülebilirliğin inşasında stratejik bir araç olarak karşımıza çıkmaktadır. Özellikle Yapay Zekâ (AI) ve Nesnelerin İnterneti (IoT), üretim süreçlerinden enerji yönetimine kadar geniş bir yelpazede kaynak optimizasyonu sağlama potansiyeline sahiptir. Ancak dijitalleşmenin yüksek hesaplama gücü gereksinimi, veri merkezlerinin ve bulut bilişim sistemlerinin enerji yoğun yapısı, teknolojinin karbon ayak izine dair tartışmaları beraberinde getirmektedir. Teknolojik ilerleme, bir taraftan enerji tüketimini artırırken diğer taraftan akıllı şebekeler, hassas tarım uygulamaları ve gerçek zamanlı emisyon izleme sistemleri aracılığıyla küresel enerji sisteminin karbonsuzlaşması için inovatif bir altyapı sunmaktadır. Bahsi geçen etkileşim, literatürde Çevresel Kuznets Eğrisi ve Yeşil Yapay Zekâ yaklaşımları çerçevesinde de tartışılmakta; teknolojinin emisyonlar üzerinde doğrusal olmayan, belirli bir yatırım eşiğinden sonra iyileşmeye başlayan bir seyir izleyebileceğini göstermektedir. Bu çalışma, AI ve IoT ekseninde şekillenen teknolojik gelişmelerin karbon emisyonları üzerindeki çift yönlü etkisini kavramsal bir çerçevede ele almayı amaçlamaktadır. Yapay zekâ ve emisyon ilişkisini 2024 ve 2026 yıllarına ait en güncel literatürle (Wang, 2024; Melguizo, 2026) tartışarak, literatürdeki Strubell (2019) gibi klasikleşmiş karamsar yaklaşımlara Ters U eğrisi perspektifinden yeni bir ampirik kanıt sunmaktadır. Elde edilen çıkarımların, politika yapıcılar ve işletmeler için dijital dönüşümün sürdürülebilirlik vizyonuyla optimize edilmesine yönelik stratejik bir rehber teşkil etmesi hedeflenmektedir.

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Cite This Article

Ersezer, Ö. (2026). A CONCEPTUAL APPROACH TO THE IMPACT OF TECHNOLOGICAL ADVANCEMENT ON CARBON EMISSIONS WITHIN THE CONTEXT OF ARTIFICIAL INTELLIGENCE AND IOT. Yönetim Bilişim Sistemleri Dergisi, Cilt: 12 Sayı: 1, 166–176. https://ajindex.com/articles/1578458

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