Artificial Intelligence: Yes, it is a Construction Game-Changer
Anirban Basu is Chairman & CEO of Sage Policy Group and Chief Economist of the Modular Building Institute.
This is for Real
In 2023, the U.S. construction industry, valued at nearly $2 trillion, began embracing artificial intelligence (AI) in building construction to tackle several of its most pressing challenges. These include labor shortages, increasing efficiency, and enhancing worker safety.
Much like other sectors of the economy, AI is reshaping construction, revolutionizing how projects are planned and executed across the country. While it is obvious that AI in building construction cannot do certain things by itself, like laying bricks, paving roads, or shingling roofs, its impact stands to be both massive and positive. Specifically, by integrating AI into project management, safety monitoring, autonomous machinery, and supply chain operations, the industry is positioned to boost productivity while cutting costs. America needs that as resource availability dissipates and need expands. Projections estimate that AI’s footprint in construction will grow from a bit more than $200 million in 2023 to more than $1.1 billion by 2028.
Where it has been introduced, AI for building construction is already generating significant impact on project management and planning. In the U.S., approximately 75 percent of construction projects experience delays, typically extending timelines by approximately 20 percent. These delays are often caused by factors beyond contractors’ control, including unpredictable weather, hiring challenges, unanticipated subcontractor capacity limitations, or material supply issues. AI’s predictive capabilities help mitigate these disruptions by analyzing historical data and comparing it to current conditions. This proactive approach allows stakeholders to adjust schedules and reallocate resources as needed, reducing delays by up to 25 percent in certain instances.
Building Information Modeling (BIM) is currently utilized in more than 60 percent of large-scale construction projects. AI-powered BIM enables teams to simulate the entire project lifecycle, reducing rework and enhancing design accuracy. Studies indicate that AI-enhanced BIM systems can reduce design errors by up to 40 percent. Additionally, real-time data analysis, combined with AI for building construction, helps track project progress and optimizes scheduling, cutting overall project time by 10 to 15 percent, allowing contractors to meet deadlines and stay under budget.
While that has obvious industry-wide implications, there are also implications at the microeconomic level. All things being equal, those contractors that strategize around AI and actually integrate it as fully as possible in product design and executions are likely to be more profitable, prestigious, enjoy greater pricing power for their services, and quickly acquire market share. But many contractors are likely to lack an AI for building construction strategy, in large measure because the technology can presently be characterized as esoteric and intimidating.
Toward Safer Work Sites
Worker safety remains a critical concern in the construction industry, where risks are substantially higher than in other segments. Nearly 1,000 construction-related deaths occur annually in the U.S. Predictive safety models powered by AI in building construction analyze data from past incidents, taking into account environmental conditions and worker behavior to flag potential hazards. This proactive approach significantly reduces the risk of accidents, with industry estimates suggesting workplace accidents could decrease by as much as 25 percent.
AI-powered wearables are also becoming popular, monitoring workers’ vitals and fatigue levels in real time. This allows supervisors to make informed decisions regarding whether to pull workers from tasks if they are at risk of injury due to exhaustion or other factors. Pasha Ameli, senior advisor at the Berkeley Research Group, notes, “AI-driven safety tools help reduce fatigue-related accidents, which are among the leading causes of workplace injuries.” The salience of AI in this context extends well beyond construction, encompassing departments of public works and those who work in various aspects of supply chains.
On projects associated with substantial scale, including large-scale public works, AI-powered drones provide aerial inspections, helping supervisors identify potential problems before they put workers or deadlines at risk. These drones ensure safety compliance and allow for real-time monitoring of hazardous areas. As AI in building construction advances, its ability to quickly detect and analyze risks makes projects safer while chiseling away unnecessary costs. By leveraging these tools, the construction industry is poised to make gigantic strides toward a safer, more efficient work environment, saving lives and reducing injury-related expenses in the process. Safer, more predictable work environments will also inure to the benefit of industry recruitment.
Necessity is the mother of invention, or in this instance, process change. Labor/skills shortages have induced many contractors to adopt AI-powered solutions, including autonomous machinery for handling repetitive or hazardous tasks. AI-controlled bulldozers, excavators, and trucks are already in use on project sites, reducing the need for workers engaged in dangerous roles while bolstering productivity. Studies indicate that autonomous machinery could reduce labor costs by up to 30 percent by the next decade.
AI is also transforming robotic construction. AI-powered robots are being used for tasks such as bricklaying, concrete pouring, and demolition. These robots offer greater precision and speed than traditional methods, leading to faster project completion and fewer errors. Atul Khanzode, Chief Technology Officer at DPR Construction, emphasizes, “AI and machine learning will help automate wasteful processes, improving both productivity and project outcomes in the next five years.”
When combined with 3D printing, AI in building construction presents a game-changing solution to the housing crisis. The technology enables the rapid construction of affordable homes with minimal waste, reducing building time by up to 60 percent and labor requirements by 70 percent. AI optimizes material use, automates design, and predicts potential construction challenges, ensuring efficient and sustainable projects. This technology allows for the creation of customizable, energy-efficient homes, addressing both cost and supply issues, particularly in regions facing severe housing shortages.
Final Word
AI in building construction is also able to contribute to mitigating the types of problems that has characterized construction delivery during the pandemic and immediate aftermath. AI can forecast disruptions in materials and equipment delivery, enabling contractors to adjust orders and timelines accordingly. Critically, AI can monitor global supply chains and weather conditions, forming predictions that help construction companies avoid bottlenecks. This can be the difference between a happy client and an unhappy one; between a lawsuit and idle attorneys. As if all this were insufficient, AI can be and is used to analyze supplier performance based on pricing, delivery speed, and reliability, supporting more timely materials delivery at the most advantageous prices. In short, the AI revolution is real and not to be ignored.
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