Implementation of artificial Intelligence Tools in IT Companies: European Research 2023–2025
https://doi.org/10.26794/2220-6469-2025-19-4-114-122
Abstract
The goal of the study is to assess the potential of AI tools in industrial software development. It is based on the analysis of the results of applied research of the main areas of AI application and the potential capabilities of AI in Europe in 2023-2025 were analyzed, and expert forecasts were compared with the actual state of affairs in the IT industry in mid-2025. As a research hypothesis the study suggests, that AI tools and their application techniques have reached the state of technological maturity to function as full-fledged tools for automating the work of virtually every member of a software development team. The objective includes determining the possibilities of practical application of AI tools in software development by mid-2025, taking into account a holistic analysis of the prospects of the industry’s development. Scientific novelty of the research represents comparison of previous forecasts by industry experts with the current state of affairs in the European IT industry. Furthermore, the research provides specific recommendations for implementing AI tools in the process of software development.
About the Author
D. S. PashchenkoRussian Federation
Denis S. Pashchenko — Cand. Sci. (Tech.), independent software researcher
Moscow
References
1. Gorban A., Grechuk B., Tyukin I. Augmented artificial intelligence: A conceptual framework. URL: https://www.researchgate.net/publication/323003938_Augmented_Artificial_Intelligence_a_Conceptual_Framework
2. Kästner Ch., Kang E. Teaching software engineering for AI-enabled systems. In: Proc. ACM/IEEE 42nd Int. conf. on software engineering: Software engineering education and training (Seoul, June 27 — July 19, 2020). New York, NY: Association for Computing Machinery; 2020:45–48. DOI: 10.1145/3377814.3381714
3. Barenkamp M., Rebstadt J., Thomas O. Applications of AI in classical software engineering. AI Perspectives. 2020;2(1):1. DOI: 10.1186/s42467–020–00005–4
4. Boyko O., Holoborodko Y. Distributed software development in 2025: All you should know. SPD Technology. Jul. 23, 2024. URL: https://spd.tech/dedicated-development-teams/distributed-software-development-team/
5. Pashchenko D. S. Consolidation of a new organizational and production paradigm in software development projects. Informatsionnye tekhnologii = Information Technologies. 2024;30(3):150–158. (In Russ.). DOI: 10.17587/it.30.150–158
6. Panetta K., Set up now for AI to augment software development. Gartner. Sep. 21, 2023. URL: https://www. gartner.com/en/articles/set-up-now-for-ai-to-augment-software-development
7. Cakmak Z. Adapting to environmental change: The importance of organizational agility in the business landscape. Florya Chronicles of Political Economy. 2023:9(1):42–53. DOI: 10.17932/IAU.FCPE.2015.010/fcpe_v09i1004
8. Pashchenko D.S. Change of organizational and production paradigms in the IT industry: Research 2020–2023. Mir novoi ekonomiki = The World of New Economy. 2023;17(3):83–90. (In Russ.). DOI: 10.26794/2220–6469–2023–17–3–83–90
9. Pashchenko D.S. Early formalization of AI-tools usage in software engineering in Europe: Study of 2023. International Journal of Information Technology and Computer Science (IJITCS). 2023;15(6):29–36. DOI: 10.5815/ijitcs.2023.06.03
10. Pashchenko D.S. Crecimiento en la demanda de herramientas de inteligencia artificial en ingeniería de software: Resultados de un estudio paneuropeo 2024. Revista de Investigación en Tecnologías de la Información. 2025;13(29):82–91. DOI: 10.36825/RITI.13.29.008
11. Roumeliotis K.I., Tselikas N.D., Nasiopoulos D.K. Llama 2: Early adopters’ utilization of Meta’s new opensource pretrained model. Preprints.org. Aug. 01, 2023. DOI: 10.20944/PREPRINTS 202307.2142.V2
12. Cooper R.G., Brem A.M. The adoption of AI in new product development: Results of a multi-firm study in the US and Europe. Research-Technology Management. 2024;67(3):44–53. DOI: 10.1080/08956308.2024.2324241
13. Rogers E. M. Diffusion of innovations. New York, NY: Free Press; 2003. 576 p.
Review
For citations:
Pashchenko D.S. Implementation of artificial Intelligence Tools in IT Companies: European Research 2023–2025. The world of new economy. 2025;19(4):114-122. (In Russ.) https://doi.org/10.26794/2220-6469-2025-19-4-114-122
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