Why do civil engineers need to know artificial intelligence? How AI is changing the construction industry

The construction industry is considered to be conservative in the adoption of artificial intelligence (AI). In this field, AI technologies are not as widely adopted as in the banking industry for example. But the use of AI in construction is becoming a key element of successful projects. The traditional methods we have been accustomed to using for decades are no longer suited to the challenges faced by modern construction. But why is it important for civil engineers to understand and utilize AI? How is it changing the industry? The answers to these questions not only help you adapt to change, but also help you reach a new level of professionalism.

Optimizing design and planning

AI is dramatically speeding up the design process by offering thousands of decision options based on big data analytics. Programs like Autodesk Revit and Rhino with AI-powered plug-ins can create building models that consider optimal parameters in terms of durability, energy efficiency, and resource conservation. For example, designing a residential complex using AI systems can take up to 50% less time than traditional methods.

One of the prime examples of AI in design is the Hudson Yards project in New York City, where AI helped manage thousands of architectural and engineering decisions. This optimized the entire construction process, reducing time and material costs.

Predicting risks and improving safety

One of the major challenges in the construction industry remains safety. AI is capable of analyzing vast amounts of data, predicting accident risks based on project history and current site data. Modern solutions like Smartvid.io use AI to analyze video from cameras on construction sites and identify potential hazards in real time.

Statistic: According to a McKinsey study, companies that implement AI into their safety management system have reduced accidents by 27%. This is a real indicator of how AI can change the approach to safety on construction sites.        

Resource management and process automation

AI is changing the approach to resource management. Systems like PlanGrid and Buildots analyze material consumption and predict material needs, which helps avoid overpayments and delays. In addition, automating routine processes such as quality control or task monitoring can reduce errors and improve overall productivity.

In the Elbphilharmonie concert hall construction project in Hamburg, the use of AI optimized logistics management and reduced material costs by 15%.

Improved quality and sustainability

AI is helping structural engineers make better decisions to improve the quality and sustainability of buildings. Machine learning can predict the behavior of materials under different conditions, which helps avoid premature deterioration of structures. For example, using AI to optimize energy-saving systems in buildings can reduce energy consumption by 30-40%.

The Bouwmeesterhuis project in Belgium is an example of how AI helps in the design of energy-efficient buildings. Data analysis enabled the selection of materials and solutions that significantly reduced the building's carbon footprint.

AI as a competitive advantage

In a world where technology is becoming a critical success factor, the knowledge and application of AI is becoming an important competitive advantage for a civil engineer. Companies are actively seeking professionals who can integrate AI into their projects to increase efficiency and reduce costs. Engineers with AI skills can qualify for more senior positions, take on key roles in projects, and open up new career opportunities.

Statistic: According to a Deloitte report, 75% of construction companies globally plan to increase their investment in AI technology in the next five years. This suggests that the demand for specialists capable of working with AI will only grow.        

Example of local application: In Russia, for example, PIK, one of the largest developers, is actively implementing AI to optimize construction and property management processes. This is an example of how the technology can be applied in a real local context.

Risks and challenges of AI implementation

However, implementing AI in construction is not only associated with benefits, but also with certain challenges. One of them is the need to retrain the workforce. Civil engineers who are used to working with traditional methods may find it difficult to master new technologies. Moreover, AI integration requires significant financial investment, which can be a challenge for companies with limited budgets.

Recommendations

To successfully adopt AI, it is important for civil engineers to start with basic courses on machine learning and programs that are used in the construction industry. For example, a Coursera course on “AI For Everyone” or specialized courses on Autodesk Revit with AI integration can be a great starting point.

Mastering specialized construction programs with AI integration After learning the basics, it's important to become familiar with programs that are used in the construction industry that support AI technologies:

• Autodesk Revit with Dynamo: This is building information modeling (BIM) software with AI design automation capabilities. Dynamo allows engineers to create visual automation scenarios.
• Rhino with Grasshopper plugin and AI integrations: Rhino is a powerful 3D modeling tool and Grasshopper is its plugin for algorithmic design. There are plugins that use AI to generate optimal design solutions.
• PlanGrid and Buildots: These applications allow you to integrate AI into construction project management, automating quality control and task monitoring.

Conclusion

Artificial Intelligence is already changing the construction industry today, and its role will only increase in the future. Civil engineers who realize the importance of AI and start incorporating it into their projects will be able to gain a competitive advantage and contribute to the industry. It is important not only to understand the potential of AI, but also to be prepared for the new challenges associated with its implementation. Those who can overcome these challenges will be among the leaders and will determine the future of construction.