The evolution of BIM work standards: current, best, and future practices from a BIM Manager's perspective

This study analyzes the evolution of working standards in Building Information Modeling (BIM) and the redefinition of the role of the BIM Manager in the era of digital transformation. The starting point is the identification of a cognitive gap, i.e., the discrepancy between the exponential growth of data and the limitations of human perception. The conclusions are based on a narrative review of over 100 publications, with artificial intelligence models used in the content synthesis process. The analysis proves that implementing AI requires prior digital hygiene in accordance with the ISO 19650 standard and the conversion of data into a machine-readable format. Attention was also drawn to the phenomenon of the productivity paradox, showing that the automation of erroneous or inefficient processes only leads to the faster generation of defects. The paper outlines a vision of the future in which OpenBIM standards become the language of algorithm communication and AR technology ensures continuity of quality control. At the same time, the analysis emphasizes that the success of the transformation does not depend solely on technology, but on the soft and leadership skills necessary to overcome process resistance. The whole is crowned with a forecast of the evolution of the BIM Manager into a Knowledge Architect and transformation leader who oversees autonomous processes in a human-in-the-loop model.