International Journal of Computational and Electronic Aspects in Engineering
Volume 7 · Issue 1 · February 2026 · pp. 12-28
Research Article · Peer Reviewed
Received: December 02, 2025 · Accepted: January 16, 2025 · Published: 03 February 2026
DOI: 10.26706/ijceae.7.1.20260102
Open Access · CC BY 4.0

Artificial Intelligence and Its Impact on Sustainable Development from An Industrial Perspective

Maryam Jawad Kadhim*, Huda Lafta Majeed, Rasha Hani Salman
Software Department, College of Computer Science and Information Technology, Wasit University, Iraq

*Corresponding author: Mjawad@uowasit.edu.iq
Download PDF Cite this article Certificate Volume 7 Issue 1

Abstract

Artificial Intelligence (AI) has become a key driver of transformation across industrial sectors, significantly enhancing efficiency, production quality, cost reduction, and natural resource conservation. This study examines AI’s influence on sustainable industrial development by analyzing its role in improving environmental and operational performance while balancing economic, social, and ecological dimensions. A descriptive analytical approach was adopted, using both quantitative and qualitative data from multiple sources. A purposive sample of 50 specialists in AI and industrial development contributed insights. Findings indicate that AI plays a decisive role in operational optimization, waste reduction, and improved resource management. However, technical and administrative barriers, including infrastructure and skilled human resource gaps, hinder wider AI adoption. The study recommends national strategies supporting digital industrial transformation and human capital development to ensure sustainable and resilient industrial growth.

Keywords

Artificial Intelligence Sustainable Development Industry Digital Transformation Industrial Sustainability

References

  1. I. Hamdi, “Artificial intelligence and its role in enhancing industrial sustainability,” Modern Technology Journal, vol. 30, no. 3, p. 45, 2022.
  2. A. Saeed, “Applications of artificial intelligence in improving industrial efficiency,” Journal of Technological Studies, vol. 45, no. 4, p. 56, 2021.
  3. A.-B. Mahmoud, “Artificial intelligence in predictive maintenance: Applications and benefits in heavy industries,” Journal of Modern Technology, vol. 32, no. 4, p. 59, 2021.
  4. H. Abdallah, “Applications of artificial intelligence in industry: Improving efficiency and reducing costs,” Journal of Applied Sciences, vol. 45, no. 3, p. 112, 2022.
  5. S. Saeed, “Artificial intelligence and the future of work,” Journal of Technological Innovation, vol. 18, no. 1, p. 125, 2022.
  6. K. Ali, “Social and economic challenges of artificial intelligence in industry,” Journal of Technological Studies, vol. 24, no. 2, p. 122, 2023.
  7. A. Mahmoud, “Artificial intelligence and enhancing occupational safety in industries,” Journal of Occupational Safety, vol. 12, no. 2, p. 82, 2019.
  8. A. Mohamed, “The impact of artificial intelligence on improving the use of natural resources in industry,” Journal of Industrial Economics, vol. 17, no. 3, p. 99, 2020.
  9. Y. Hassan, “Artificial intelligence in sustainable design,” Journal of Environmental Innovation, vol. 19, no. 4, p. 118, 2020.
  10. M. Saeed, “Clean technology and its role in sustainable industrial development,” Journal of Industrial Studies, vol. 23, no. 4, p. 145, 2021.
  11. M. Mostafa, “Artificial intelligence in improving industrial productivity: Analysis and innovations,” Journal of Industrial Innovation, vol. 12, no. 2, p. 35, 2020.
  12. M. Al-Alami, “Artificial intelligence and the challenges of modern industry,” Journal of Advanced Technology, vol. 29, no. 3, p. 95, 2021.
  13. N. Ali, “Improving industrial efficiency using artificial intelligence,” Journal of Engineering Systems, vol. 25, no. 1, p. 74, 2021.
  14. J. Baker and M. Tabor, “AI in sustainable manufacturing: Environmental impact and efficiency,” Int. J. Sustainable Technology, vol. 23, no. 5, pp. 95–102, 2020.
  15. M. Brown, “Artificial intelligence in manufacturing: Enhancing quality control,” Int. J. Engineering, vol. 33, no. 1, p. 156, 2019.
  16. J. Elkington, “Towards the sustainable corporation: Win-win-win business strategies for sustainable development,” California Management Review, vol. 36, no. 2, p. 90, 1994.
  17. F. Fragou, M. Anastasiadou, and E. Chryssou, “Sustainability and innovation in industry: Impacts and strategies,” Journal of Cleaner Production, vol. 214, p. 200, 2019.
  18. I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. Cambridge, MA, USA: MIT Press, 2016.
  19. W. Haas, “Circular economy and artificial intelligence: A future perspective,” 2019.
  20. R. S. Sutton, Reinforcement Learning: An Introduction. Cambridge, MA, USA: MIT Press, 2022.
  21. Z. Huang, “Artificial intelligence and sustainability in industry: A case study of smart manufacturing,” Journal of Industrial Engineering, vol. 42, no. 3, p. 110, 2020.
  22. Z. Huang and J. Zhang, “Energy efficiency optimization in industrial plants using AI-based models,” Energy and Industrial Systems, vol. 28, no. 2, p. 66, 2021.
  23. K. Johnson and T. Richards, “AI in Industry 4.0: Driving efficiency and reducing costs,” Int. J. Smart Industries, vol. 29, no. 4, p. 98, 2019.
  24. J. Smith, “Artificial intelligence in green industrial innovation,” Sustainable Innovation Journal, vol. 18, no. 2, p. 122, 2022.
  25. C. Lee and J. Lee, “Artificial intelligence in supply chain management: Benefits and future directions,” Journal of Industrial Technology, vol. 24, no. 2, p. 78, 2020.
  26. Y. Li and L. Zhang, “Smart manufacturing and the role of artificial intelligence in sustainable production,” Journal of Industrial Engineering, vol. 42, no. 3, p. 102, 2020.
  27. J. McCarthy, Artificial Intelligence. Stanford, CA, USA: Stanford Univ. Press, 2007.
  28. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed. Upper Saddle River, NJ, USA: Pearson, 2021.
  29. H. Shin, Y. Lee, and J. Park, “The role of sustainability in Industry 4.0: Opportunities and challenges,” Sustainability, vol. 12, no. 4, p. 112, 2020.
  30. R. Singh, S. Sharma, and G. Kaur, “AI for sustainable agriculture: Use of machine learning for precision farming,” Journal of Agricultural Science, vol. 35, no. 4, p. 113, 2020.
  31. J. Sullivan and A. Brown, “Artificial intelligence and sustainable development in industry,” Journal of Industrial Innovation, vol. 45, no. 4, p. 128, 2021.
  32. R. S. Sutton, Reinforcement Learning: An Introduction. Cambridge, MA, USA: MIT Press, 2022.
  33. R. Taylor and M. Williams, “Artificial intelligence for manufacturing: Enhancing productivity and efficiency,” Journal of Industrial Automation, vol. 42, no. 3, p. 123, 2020.