The construction industry still has a long way to go before we can confidently say that artificial intelligence solutions are properly implemented in this field.The good news is that construction is an industry with tremendous potential.
The total value of the sector is estimated at 10 trillion per year, but the lack of digitization in the industry makes the productivity gap in an account for 1.6 trillion these are only due to the AI SERVICES implemented in construction.That being said, it quickly becomes clear that the structure needs to change.
Paving the way for the growth and successful implementation of artificial intelligence in digital shift architecture.Construction requires artificial intelligence:Now that we have a better understanding of the research focus, it is time to consider why the construction industry needs artificial intelligence.Shrinking workforce:The lack of skilled labor is the most critical issue for the construction industry on a global scale.
This element is especially important when we refer to labor-intensive industries such as construction.AI can provide visual solutions to this problem through time-intensive tasks such as labor automation and program creation, cost estimation, resource management, health and safety management, and more.
Political conditions also have a critical impact on workforce availability.Lower profit margins:Low-profit margins have always been a serious pain in US construction compared to other industries.In short, the most important factors that led to this problematic situation are summarized in the next five:· Competitive tendering· Higher bidding cost per return ratio· Increased costs due to Sterling decline· Due to Low productivity· Risk of poor risk managementThe implementation of artificial intelligence technologies to the construction process can eliminate these factors and add more precision to the way the construction works and builds.Risk Management:Risk management as one of the factors leading to a lower profit margin.
With the help of AI, resources and energy-efficient smart buildings can become ideal in both construction and use.Such an approach is beneficial to the construction industry and to people who work or live in buildings.Challenges facing AI implementation in architecture:Despite the various problems that architecture currently faces, successfully implementing AI technology is not easy.