La inteligencia artificial como acelerador de la adopción BIM en el sector constructor colombiano: Análisis de oportunidades y propuesta de implementación

Abstract

The Colombian construction sector faces uncertainty about how to integrate Artificial Intelligence (AI) into BIM methodologies already established or in the process of adoption, lacking a reference framework adapted to the national context that facilitates this technological transition. The objective of this work is to analyze the role of Artificial Intelligence as an enhancement tool for BIM methodologies, identifying opportunities, benefits, and challenges for the digital transformation of the construction sector in Colombia. Applied research was conducted through three methodological components: analysis of sectoral studies and reports from CAMACOL and BIM Forum Colombia to establish the digital maturity of the sector; Systematic Literature Review in scientific databases and analysis of technical documentation of ConTech software from the 2020-2025 period to classify AI applications in BIM; and synthesis of best practices to develop an implementation guide prototype. The results identified that 49% of Colombian construction companies are implementing BIM, with potential time reduction of 20-35% and cost reduction of 15%. AI applications were classified into machine learning for cost prediction and maintenance, computer vision for safety monitoring, deep learning for energy analysis, and generative design for layout optimization. Finally, the discussion around the central theme of this research focuses on how the AI-BIM integration represents a strategic opportunity for the Colombian sector, requiring a structured framework for progressive adoption aligned with the National BIM Strategy 2020-2026 and ethical data protection regulations.