AI-driven smart construction for U.S. infrastructure modernization– understanding digital technology and it is tools for Architecture, Engineering, Construction (AEC) workflow: Review of literature

Umoru, Carlos Oshoke (2025) AI-driven smart construction for U.S. infrastructure modernization– understanding digital technology and it is tools for Architecture, Engineering, Construction (AEC) workflow: Review of literature. World Journal of Advanced Research and Reviews, 27 (1). pp. 1711-1723. ISSN 2581-9615

The growing integration of novel digital technologies and tools in the Architecture, Engineering, and Construction (AEC) business has resulted in substantial changes to workflow, performance, and project results. This review investigates how fundamental digital technologies, such as Building Information Modeling (BIM), Artificial Intelligence (AI), the Internet of Things (IoT), and Digital Twins, interact with specialized digital tools like Revit, Procore, AutoCAD, and Civil 3D to optimize AEC processes throughout the project lifecycle. The article conducts a methodical analysis of conventional, hybrid, and completely digital processes, evaluating their contribution to improved operational efficiency, data coordination, design correctness, and cost-effectiveness. This study uses literature synthesis, comparative analysis, and practical case references to identify how digital innovations lower error rates, promote sustainability, and transform project delivery models. Furthermore, the assessment identifies adoption benefits, such as worker preparation and fragmented data systems, and recommends collaborative solutions for maximizing digital value. By differentiating and integrating digital technologies and techniques (tools), this study adds to a comprehensive framework for developing smart building and modernizing infrastructure delivery.