## 4 Results and Discussion
### Significant Resource Implementation of AI-Based DTs  
Figure 7 shows the ranking of resources required to successfully implement AI-based DTs. The three significant resources are training and education (RI-DT-AI1), technical support from vendors (RI-DT-AI4), and resolving data privacy and security concerns (RI  
DT-AI5). The contribution values of (RI-DT-AI1), (RI-DT-AI4), and (RI-DT-AI5) are 0.205, 0.199, and 0.198, respectively, as shown in Figure 7.  
Comprehensive training and education programs (RI-DT-AI1), technical support from vendors (RI-DT-AI4), and resolving data privacy and security concerns (RI-DT-AI5) are essential resources for facilitating the successful integration of AI with DT technology. Such strategies are instrumental in overcoming core and related challenges, including the complexity of AI algorithms and a lack of professional knowledge and skills, as previously highlighted. By adopting these approaches, organizations can enhance employees' knowledge and capabilities and increase their willingness to embrace this technology. Furthermore, these strategies help to alleviate associated challenges, thereby expediting the adoption and implementation of DTs technology more efficiently and sustainably. These findings align with previous studies, which emphasize the significance of addressing challenges related to human characteristics and organizational characteristics for the successful implementation of advanced technologies [57; 58; 61; 85]. Notwithstanding the challenges mentioned above, the benefits of AI-based DTs greatly exceed their issues, particularly when leaders and legislators actively put the suggested tactics into practice. The transformative potential of AI-based DTs may be fully realized by eliminating the obstacles with focused strategies such as providing training programs, raising stakeholder awareness, and incorporating supportive regulations. This will accelerate innovation in the construction sector. The analysis underscores the vast potential of digital twins and AI integration in transforming the Saudi Arabian construction industry. While the benefits include enhanced efficiency, sustainability, and decision making, the challenges--ranging from high costs to data, infrastructure, and trust issues--must be addressed. Resource allocation in the form of training, financial support, and technical assistance is crucial for overcoming these barriers and enabling the successful adoption of AI-based digital twins. The results of this study's Correspondent Analysis (CA) offer valuable insights that can guide practical decision-making in the construction industry, especially regarding the adoption of AI-based digital twins (DTs). For instance, the analysis highlighted the primary advantages of integrating AI-based DTs, including automated site progress monitoring, predictive maintenance and scheduling, and improved decision making. Construction companies can leverage these findings by prioritizing investments in technologies that facilitate  
Figure 7: Contribution value of resource implementation of DT with AI. these benefits, such as IoT sensors and AI-driven analytics platforms for automation and predictive capabilities. Additionally, the study identified significant challenges, such as the complexity of AI algorithms, issues with data quality, and resistance to change. To tackle the complexity of AI algorithms and overcome resistance, construction firms can develop targeted employee training programs. These initiatives should focus on enhancing AI literacy and showcasing the practical advantages of implementing AI-based DTs [86]. This study's findings largely align with global literature on AI-based digital twins (DTs), emphasizing benefits such as enhanced decision making, predictive maintenance, and complex system modeling, and challenges such as data quality issues, algorithmic complexity, and resistance to change.