INTEGRATION OF AUTOCAD AND ARTIFICIAL INTELLIGENCE: MODERN APPROACHES AND DEVELOPMENT PROSPECTS

Authors

  • О. Babichevа O.M. Beketov National University of Urban Economy in Kharkiv image/svg+xml
  • S. Yesaulov O.M. Beketov National University of Urban Economy in Kharkiv image/svg+xml
  • R. Voronov O.M. Beketov National University of Urban Economy in Kharkiv image/svg+xml
  • V. Shavkun O.M. Beketov National University of Urban Economy in Kharkiv image/svg+xml

DOI:

https://doi.org/10.33042/2522-1809-2025-3-191-21-27

Keywords:

AutoCAD, artificial intelligence, CAD, digital design, generative design, machine learning

Abstract

This article presents a comprehensive analysis of the integration of artificial intelligence (AI) technologies into computer-aided design (CAD) systems, with a particular focus on AutoCAD 2025. It explores both theoretical foundations and practical implementations, emphasizing the growing importance of digital transformation in engineering design and development. Special attention is given to the advanced features introduced in AutoCAD 2025 – Smart Blocks, Activity Insights, Markup Assist, and My Insights, which collectively facilitate intelligent design automation, data-driven user guidance, and contextual assistance throughout the design process.
The study builds upon an extensive review of recent scientific publications, including those from IEEE Access, CVPR, Procedia CIRP, and ResearchGate, to confirm the critical role of generative design, automated drawing annotation, and machine learning algorithms in enhancing CAD functionality. It examines how neural networks and adaptive systems are being embedded into CAD platforms to support error detection, variant generation, predictive modeling, and context-aware design. An original experimental study was conducted as part of this work, measuring the real-world impact of AI-powered features on user performance. The study demonstrated substantial time savings of up to 30%, a significant reduction in manual errors, and a marked increase in design automation. Each module was evaluated individually to assess its contribution to workflow efficiency and design quality.
The paper offers actionable recommendations for integrating AI-driven tools in both academic curricula and engineering practice. These include strategies for user training, adaptation of workflows, and overcoming limitations of traditional CAD use. The findings support the development of advanced digital competencies in engineering students and practitioners alike and serve as a basis for further exploration into intelligent design systems and the future of smart engineering environments.
In conclusion, the integration of AI technologies into AutoCAD 2025 represents a significant advancement in the field of computer-aided design. The enhanced features not only improve efficiency and accuracy but also pave the way for more innovative and intelligent design processes. This study underscores the transformative potential of AI in CAD systems and highlights the need for continued research and development in this area.

References

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Published

2025-06-13

How to Cite

INTEGRATION OF AUTOCAD AND ARTIFICIAL INTELLIGENCE: MODERN APPROACHES AND DEVELOPMENT PROSPECTS. (2025). Municipal Economy of Cities, 3(191), 21-27. https://doi.org/10.33042/2522-1809-2025-3-191-21-27