Artificial Intelligence-Driven Project Management in Construction: A Catalyst for Economic Growth and Sustainability

Abstract

The AI improves risk mitigation and optimizes resource allocation which also contributes to more successful project outcomes. The study aims to review Artificial Intelligence-Driven Plans in Project Management in Construction to review the Economic Growth and Sustainability under catalyst impact AI. Study has used a sample of 100 people to execute the results based on 6 hypothesis by survey of Google form. It reviews the effectiveness of AI technologies in construction management, risk management resource allocation rescheduling and predictive capabilities in the context of its impacts using primary quantitative data. Data has been executed with the smart PLS software to understand the statistical operations and the statistical support for the reliability and viability context. The results justify that there is positive effect of AI technologies in the construction sector for dealing the risk management in addition to resource allocation and rescheduling with the support of predictive capabilities. The study has positive implications for future prospects because it is offering recommendations for the project managers and decision makers in handling the construction sector challenges with the help of AI technological applications.