Application of generative AI for optimizing design solutions in construction

This paper explores the application of generative artificial intelligence in enhancing design solutions for the construction industry. Its relevance lies in the fact that construction projects have undergone massive scale and complexity, with increased requirements regarding decarbonization, material sustainability, and cybersecurity, as well as instability in global supply chains, resulting in significant schedule and budget overruns. The purpose of this study is to carry out an extensive review of the potential abilities different families of generative models possess in automatically generating and verifying design alternatives within the BIM environment itself; this research becomes novel since it involves several stages: (1) comparison between algorithms by major indicators geometric accuracy, daylight factor, structural mass, compliance and FID/R²; (2) systematic overview about industry data adoption on AI; (3) content analyses for practical cases including Deep Q-Material ALICE Scan-to-BIM SHAIPES.ai ICON. First, a unified review of the efficiency of generative models at the output of volume planning decision schemes and facade solutions is provided. Second, direct dependence between the degree of corporate AI readiness and resources saved is revealed. Thirdly, the integration of text‑to‑code LLM agents inside an automated workflow, closing the cycle data → generation → verification → BIM, has been demonstrated. The major takeaway is that pairing Gen-AI and BIM transforms passive data repositories into active centers of statistical creativity, enabling the multi-criteria optimization of design solutions to slash timelines and budgets while improving environmental and operational criteria quality. Meanwhile, data, algorithm transparency, and clear responsibility mapping still matter, calling for steps to validate, explain, and document the in-betweens. This write will help researchers and doers in architecture, engineering design, and construction project management. It will also work for AI solution makers plus BIM pros.