Unleashing the Potential of AI in Construction

The Benefits of AI in Construction

Contrary to popular belief, the construction industry has been slow to embrace digitalization. However, the potential applications of AI in this sector are vast and transformative. Predictive analytics powered by AI can assist construction companies in optimizing project management, maximizing efficiency, and minimizing costs. Computer vision technology enables large-scale data collection, allowing for the early detection of safety hazards and the prevention of workplace injuries. Moreover, AI-enabled autonomous construction machinery holds the promise of supercharging efficiency while keeping human workers out of harm's way.

Construction companies must recognize the significance of investing in AI. The following matrix highlights the key areas where construction companies should focus their time and resources. GlobalData recommends that companies invest in technologies shaded green, explore the potential of technologies shaded yellow, and avoid technologies shaded red.

Decision-Making AI Capabilities

All construction companies, regardless of their value chain segment, should invest in decision-making AI capabilities. These capabilities encompass calculating, forecasting, and planning. From the initial conceptual design phase to project financing and construction, AI-driven decision-making empowers construction companies to make data-driven choices. In every stage of the construction process, except procurement, AI-enabled computer vision provides detailed and up-to-date data to enhance decision-making.

The Motion Capability of Advanced AI in Construction

The motion capability of advanced AI is particularly valuable in certain segments of the construction value chain. In construction, design, and engineering, investing in AI-enabled autonomous construction equipment not only mitigates health and safety hazards but also improves the efficiency of construction projects and alleviates some of the industry's recruitment challenges. Generative AI, another advanced AI capability, uses machine learning algorithms to create various forms of content such as text, images, video, audio, and software code. In the design stages of the construction value chain, AI's creative capabilities can expedite processes by generating building designs. Natural language processing-enabled AI chatbots can assist construction workers in answering their queries in segments like construction, operation, and maintenance.

The State of AI in Construction

A 2024 GlobalData World Construction Network survey reveals that nearly two-thirds of construction workers globally believe AI is already making a significant impact on their industry or will do so within the next five years. Conversely, almost one in five construction workers think AI will never have an impact. Another survey shows that 23% of construction workers consider the cost of technology as the main barrier to investing in AI, followed by the need for more proven technology (20%) and a lack of necessary skills (20) for successful implementation. While cost may be a limiting factor for smaller construction companies, the productivity gains offered by AI solutions make it a necessary investment for those with the means. Technology transformation teams within construction companies must effectively communicate the tangible benefits and reliability of AI solutions, addressing employees' concerns about job displacement and emphasizing how AI tools can work in collaboration with workers.