Until a few years ago, artificial intelligence (AI) was mainly associated with the IT sector and data analysis. Today, it is boldly entering the construction industry, not only changing the way buildings are designed, but streamlining site management and the project delivery process. Thanks to modern construction technologies, it is possible to noticeably shorten the duration of works and reduce construction costs. But most importantly, the safety and quality of the implementation can also be significantly improved, and the reliability of the finished structures can be increased. Let us take a look at some of the world’s most interesting case studies involving the key role of AI in the construction sector.
How is AI changing industrial construction?
Artificial intelligence in construction is no longer a futuristic vision, but it does have an influence on the way we design, build and manage industrial facilities. With advanced algorithms and the analysis of huge data sets, today AI is useful mainly at the design phase through analysing hosts of data in an instant, enabling faster human decision-making, while minimising human error.
The construction industry has been struggling for years with challenges such as rising material costs, a shortage of skilled labour and the need to introduce environmentally-friendly technologies and materials on a large scale. In response to these issues, AI is introducing process-automation technologies of the future, which optimise resource utilisation and improve job security. From intelligent design algorithms to robotics on construction sites to predictive building maintenance systems, artificial intelligence is becoming a key tool for modern industrial construction.
AI in architecture and design – intelligent algorithms are transforming industrial facilities
Building design today is not only about the creativity of architects and engineers, but it also integrates the support of AI algorithms. Artificial intelligence is able to perform advanced construction data analysis rapidly by making choices from thousands of possible configurations, optimising the structural layout, helping with material selection and increasing weather resistance. And these can vary greatly, depending on the location in the world.
Here is an example of a case study of AI use in construction
The world’s tallest building, the Burj Khalifa (828 metres) in Dubai, is a true engineering gem. But work is already underway on the next mega-tower to break this record, the Jeddah Tower in Saudi Arabia. Its construction started in 2013 only to be interrupted for a few years. On 21 January 2025, the official ceremony for the resumption of construction work took place. The structural analysis of this giant is controlled by AI. How?
Aerodynamic analysis and shape optimisation. Understanding and controlling the impact of wind on the structure is crucial for buildings of this height. The use of building innovation allows advanced aerodynamic simulations to help optimise the shape of the building to minimise vibration and increase structural stability.
Optimisation of material consumption and logistics. AI can be used to analyse and optimise the use of building materials, which is vital in terms of environmental aspects: reducing waste and, consequently, costs. What’s more, artificial intelligence algorithms are capable of predicting the need for materials during each phase of construction, allowing to improve supplies scheduling.
Monitoring work progress and quality assurance. Carrying out such a complex and intricate project, AI is used to monitor the progress of the work and ensure the quality of execution. Intelligent building systems analyse data from sensors and cameras deployed on site, identifying potential problems and deviations from the plan. This helps respond quickly and maintain high quality standards.
Robots and AI on the construction site – machines that learn in real time
Modern construction sites are more and more often using robotics and artificial intelligence to automate construction, increase efficiency and improve safety. A key component in this revolution is machines. By integrating AI algorithms and machine learning technology, they can analyse the environment and adjust their actions in real time, which allows them to optimise the construction process on an ongoing basis, cut down on errors and work more efficiently than conventional human-operated machines. For now, their use is not widespread, but it is probably only a matter of time. Autonomous construction vehicles can already analyse the terrain independently, avoid obstacles and adapt their actions to suit current conditions. Example? The Hadrian X robot, controlled from a tablet, which lays bricks much faster and more precisely than a human, but also inspection drones or robots for 3D on-site construction component printing.
Example of applications: Heathrow Terminal 5 project in London
The Terminal 5 project at London Heathrow Airport has provided one of the best examples of the AI use on a construction site. During this project, Skanska implemented construction innovations and used advanced AI-assisted robotic systems to optimise the construction schedule and minimise construction errors.
These systems included:
– Inspection robots which were automated scanning systems that analysed concrete structures in real time, detecting potential cracks and defects.
– Autonomous cranes which used AI-controlled systems for managing crane movements, minimising the risk of collisions and speeding up material transport.
Thanks to the use of modern construction technology, the Terminal 5 project was completed 20% faster, and the number of construction errors was 30% lower than in similar projects carried out without artificial intelligence support.
Intelligent work schedule management – another construction AI case study
Not only does AI support the design and robotisation of the construction site, but it also improves construction management. Systems that analyse data from drones, cameras and sensors can detect potential delays and logistical problems before they become a real threat to the work schedule.
Example: Lusail Stadium in Qatar
During the construction of Lusail Stadium, one of the key arenas built for the 2022 FIFA World Cup, artificial intelligence monitored the progress of the work based on images from drones and 360° cameras. AI analysed the compliance of the completed works with the schedule and suggested optimal redeployment of human resources and construction equipment. As a result, despite the very tight work schedule adopted, it was possible to optimise the use of machinery and construction materials, and avoid many potential delays.
AI and workplace safety – reducing on-site risks
Construction is one of the most dangerous industries in the world. AI is now more broadly used to monitor working conditions and predict risks. Intelligent systems analyse workers’ movements, their fatigue levels and the condition of the equipment. And while such technologies of the future are yet to be introduced to construction sites, the time they are is near.
Example: SmartHat system at Tesla factories
Tesla is testing innovative AI-enabled safety hard hats, the so-called SmartHats. The hard hats monitor workers’ vital signs, detect signs of fatigue and analyse the environment for potential hazards. If AI finds an employee to be at a risk, it can immediately send an alert message to superiors or automatically shut down machines in their vicinity.
Failure prediction and cost optimisation with AI
Intelligent construction systems are not withdrawn from operation as soon as the construction is finished. In advanced industrial buildings, artificial intelligence monitors the condition of the structure itself, as well as its reliability during use, predicts system and machinery failures, and manages energy consumption, optimising energy costs.
Example: Changi Airport in Singapore
Changi is one of the most technologically-advanced airports in the world. It comes then as no surprise that it regularly wins the world airport rankings. It is fitted with a plethora of intelligent systems that ensure the safety and comfort of passengers, on the one hand, and optimise maintenance costs, on the other, which has a positive impact on environmental issues.
At Changi Airport, AI manages the lighting, ventilation and cooling systems, analysing real-time data and optimising energy consumption. It can, for example, reduce the intensity of lighting in less frequented areas or adjust the temperature in terminals to match passenger numbers. This has helped cut down on power consumption by 20%, which translates into savings of millions of dollars.
Sustainable construction supported by artificial intelligence
Industrial construction has adopted a green strategy in recent years. It was due to EU requirements, but also to the expectations of investors or future industrial building tenants. Current building technologies are more widely becoming key in the delivery of sustainable projects. Thanks to advanced AI systems, it is possible to precisely analyse data on energy consumption, material consumption and CO₂ already at the design and implementation stage. Not only do construction innovations minimise environmental impact, but also increase on-site efficiency to optimise logistical processes and reduce wastage of resources. This approach constitutes a real step towards a more responsible and future-oriented construction industry.
The future of AI technology in industrial construction
Artificial intelligence is already changing industrial construction on many levels. In the future, we can expect even more autonomous robots, smart construction sites and buildings that self-diagnose their faults and suggest solutions.
One thing is clear: artificial intelligence in construction is not the future, but the present, which is already shaping industrial infrastructure.
