5 Ways AI is Revolutionizing the Construction Industry

Construction is a $10 trillion industry worldwide, including residential and commercial projects, and with an expected 7% increase in 2024, many industry professionals are looking for new ways to invest. 

As AI continues to evolve, those in the construction sector are beginning to see its potential benefits across various project stages, including procurement, financing, bidding, design, operations, and asset management.

Many companies are already implementing AI to address key industry challenges, such as cost and schedule deviations, labor shortages, and safety concerns. 

As the progress of machine learning innovation speeds up, experts expect the role of AI in construction to explode in the coming years, along with an increased allocation of resources towards AI development.

If you’re interested in the possibilities AI has in construction, come with us as we explore the top 5 advantages it brings to this industry.

1. Optimizing Generative Design

Building Information Modeling (BIM) is a 3D model-centric approach to design, which provides construction, engineering, and architecture professionals with valuable design, strategy, and management insights.

When planning construction projects and new structures, 3D models must account for numerous plans, including mechanical, engineering, architectural, plumbing, and electrical plans. Even more so, it has to sequence the tasks of these respective teams while making sure the different models don’t clash with one another.

Industry professionals harness AI-powered generative design to detect potential clashes, thereby preventing the need for rework. 

Once a user establishes requirements within the AI software, it uses generative design to craft optimized 3D models, which continuously learn and refine the design until it arrives at the ideal model.

2. Preventing Cost Overruns 

Even with top-notch project teams, many large-scale projects tend to exceed their budgets. 

To address this issue, Artificial Neural Networks are employed in projects to forecast cost overruns, considering factors like project manager proficiency, contract specifications, and project scale. 

These predictive models utilize historical data to create more accurate timelines for upcoming projects. 

Plus, AI has the ability to facilitate remote access to practical training materials for staff, streamlining the onboarding process for new projects and allowing workers to optimize their knowledge and skills rapidly. 

3. Enhancing Safety Protocols

With a five-fold higher incidence compared to other labor sectors, construction workers face a significantly higher risk of workplace fatalities.

OSHA notes that the primary causes of private-sector construction industry fatalities, beyond highway accidents, have to do with electrocution, objects striking workers, and workers becoming caught in or between objects.

Suffolk, a Boston-based construction technology company, developed an algorithm that analyzes photographs taken at its job sites, scanning the images for safety hazards, including workers without protective gear, and determines how its findings fall in line with accident records. 

The company’s goal is to calculate risk ratings for projects so that site managers can implement safety briefings once they understand the identified threats. 

4. Addressing Labor Shortages

Labor shortages have been a hot topic for construction firms over the past few years, and trying to find solutions to improve the industry’s low productivity through traditional methods has so far been unsuccessful. 

To address these issues, construction companies are increasingly investing in data science and AI. 

In fact, the implementation of real-time data analysis could potentially increase productivity in construction firms by up to 50%. Many construction companies are beginning to leverage AI to enhance machinery allocation and labor across various construction projects.

By utilizing AI-powered robots, they can continuously monitor the location of workers and important equipment, assess the progress of construction projects, and provide project managers with immediate insights. 

With the power of AI in their hands, project managers can quickly identify job sites that require additional labor deployment so that they can source it from those with more than adequate resources.

Many new pieces of software have the ability to autonomously survey job sites at all hours of the day to monitor progress, enabling mega contractors to increase productivity, especially in remote areas where skilled laborers are scarce.

5. Reforming Off-Site Construction

While off-site construction has been around for years, it’s still in its evolution stage. Even so, it’s one of the most popular models for companies that don’t have the resources to build entire structures or components on their final sites. 

Many construction firms turn to these off-site factories where autonomous robots can build and assemble components that they can later integrate with human workers on-site. 

Autonomous machinery excels in efficiently assembling several different types of components with its assembly-line approach, leaving the more intricate tasks, such as electrical systems, HVAC, or plumbing, to be completed by human workers during the final stages of structure assembly.

Prepping for the Future of AI in Construction

AI has the potential to yield significant cost savings in construction.

Engineers already have the ability to deploy miniature robots into construction sites with cameras to monitor the ongoing work progress or don virtual reality goggles to receive real-time feedback and safety training. 

We also expect that AI will play a crucial role in planning optimal plumbing and electrical system routes and developing unique safety systems for construction sites. 

The beauty of AI is that it offers real-time interaction between workers and machinery, notifying site managers and supervisors of productivity issues, construction errors, and safety concerns.

Of course, the main concern for many is job displacement, though many experts say it is unlikely that AI will completely replace the human workforce in construction. 

Rather, companies are developing AI models to reshape how we operate in the construction industry so we can lessen the impact of costly errors, decrease the statistics for worksite injuries, and enhance overall operational efficiency.

If you’re a leader in the construction industry, it’s worth seeing how you can invest in AI now, as the earlier you adopt it, the more you’ll take advantage of its short and long-term benefits.

Here at Advantage Drafting, we aim to stay up to date with new innovations in the industry, making sure we’re implementing optimal technology in our projects to increase safety and efficiency while reducing costs. 

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