Why AI is a Game-Changer in the Construction Industry

There are a lot of unusual situations when it comes to construction work. Some things concern the organization of work, some people, and some circumstances are unforeseen. Risk reduction is one of the most important items when planning a large construction project. Whether it's the risk of injury at work or the risk of spending too much money, it's all the same, because every loss leads to bad business and later bad results. That's why every job is well planned in advance. So that you don't have to plan every venture yourself, there is AI chat as a very high-quality help and support in your business and risk assessment.

If you are thinking about minimizing potential problems and unplanned situations, AI can be one of your greatest solutions. In the following text you can find nine ways AI is already being used in the construction industry, so consider how it can help you.

9 Ways of Using AI in the Construction Industry

1. Preventing excessive costs

Most large construction projects go over budget despite hiring the best teams. AI is used to predict cost overruns based on factors such as project size, contract type, planned start and finish dates, and project manager competency level. AI helps employees remotely access all data, reducing the time needed to make decisions, and thereby speeding up all processes.

2. AI in building design

Building Information Modeling (BIM) is a process based on 3D models that enables architects and builders, electrical engineers, and plumbing designers to plan and design buildings and infrastructure effectively. AI generative design uses machine learning to identify and reduce errors between different teams and project phases and the software generates different solutions until it reaches an optimal model.

3. Risk reduction

Every construction project carries some risk, be it quality, safety, time, or cost. The larger the project, the greater the risk as different subcontractors work in parallel on different tasks. Prime contractors use AI to determine the highest priority risks. Also, subcontractors are assessed based on risk, and on that basis, project managers control more to reduce potential risk.

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4. Project planning

With the help of the robot, it is possible to record 3D scans of the building list and then decide how far each sub-project has progressed. If there is a delay, the project team can react in time and prevent further delays or future problems.

5. AI increases productivity on construction sites

Companies offer self-driving construction machines to perform repetitive tasks more efficiently than humans, such as pouring concrete, masonry, welding, and demolition. Excavation and preparatory works are carried out by autonomous or semi-autonomous bulldozers, which frees up workers for the construction work itself and reduces the total time required to complete the project. Also, project managers can monitor construction site processes in real-time using technologies such as facial recognition and on-site cameras.

6. AI for safety on construction sites

Construction workers are at constant risk of injuries at work. AI is used to analyze construction site photos to detect safety hazards, such as workers not wearing protective gear. AI can potentially calculate risk scores for projects to enhance security if needed.

7. AI solves the labor shortage problem

Labor shortages and the desire to increase productivity are leading construction firms to invest in AI. AI is used to better plan the distribution of manpower and machines on different construction sites. The AI ​​robot can constantly evaluate job progress and the location of workers and equipment, allowing project managers to immediately know which sites have enough workers and equipment to complete the project on time, that are behind schedule, and where additional labor can be deployed.

8. Off-site construction

Construction companies are increasingly using off-site factories with autonomous robots that assemble building components, which are then assembled by human workers on site.

9. AI for monitoring objects

By collecting information about a facility through sensors, drones and other wireless technologies, advanced analytics AI-driven algorithms provide information about the functioning and performance of buildings, bridges, roads, and almost everything in the built environment. AI can be used to determine when preventive maintenance needs to be performed on facilities.

These examples show the diverse applications of AI in the construction industry, from better safety and productivity to improving project planning and design. At BauBau, we are integrating cutting-edge AI solutions into our offerings to revolutionize the construction process.