As artificial intelligence (AI) and automation become more widely adopted across infrastructure sectors, many construction workers fear they could eventually be replaced by machines.
The world is experiencing rapid growth in computer technology and automation, driven largely by the expansion of data centers and AI.
Infrastructure and construction industries are increasingly turning to AI and automation to address major challenges, including extreme weather events, rapid urbanization, labor shortages, and the growing demand for sustainable infrastructure solutions.
The study, “Artificial intelligence in infrastructure construction: A critical review,” found that AI applications in the infrastructure and construction industry are primarily focused on safety monitoring, quality control, and process management.
The findings were based on a comprehensive qualitative and quantitative analysis of nearly 600 research papers examining AI applications across infrastructure and construction sectors.
According to the study, AI refers to a system’s ability to interpret external data, learn from it, and adapt to achieve specific goals.
AI algorithms help create intelligent systems capable of learning, solving problems, modeling complex relationships, and predicting outcomes.
These capabilities have made AI increasingly valuable in improving safety assessments, progress monitoring, equipment supervision, and infrastructure management.
AI and robotics in construction
Advancements in construction robotics, including masonry robots, rebar-tying robots, 3D printing systems, exoskeletons, and drones, are gradually being integrated into infrastructure projects.
As these technologies evolve, collaboration between humans and machines is becoming increasingly important, especially for high-risk and repetitive tasks.
Integrating AI and computer technologies into the workforce can combine human expertise with machine precision, improving productivity while reducing safety risks.
However, growing automation has also raised concerns among workers about job security.
An article published in Infrastructure Magazine explores these workforce concerns and discusses how the industry can address them. Workplace robotics expert Dijam Panigrahi explains that AI could play a major role in helping countries such as Australia manage aging infrastructure, skilled labor shortages, and the growing demand for large transportation projects.
According to Panigrahi, the rise of AI, automation, and robotics creates opportunities for a more technologically skilled workforce capable of operating advanced systems and equipment.
How AI can support workers instead of replacing them
AI can also improve worker safety and efficiency in dangerous environments. For example, risky inspection jobs such as bridge maintenance could benefit from wearable augmented reality (AR) headsets that automatically detect cracks and structural defects while logging information into digital twins of infrastructure assets.
Rather than eliminating jobs, AI can remove dangerous and repetitive tasks, allowing workers to focus on repairs, decision-making, and higher-value responsibilities.
Panigrahi argues that reframing AI as a tool that enhances jobs, rather than replaces them, can help reduce worker anxiety. AI can improve productivity, reduce physical strain, and increase job satisfaction.
In today’s information-heavy work environment, AI and automation can simplify complex tasks and support faster decision-making. Skilled workers who combine technical expertise with digital knowledge will become increasingly valuable across infrastructure sectors.
Whether used for rail network condition monitoring or urban water asset inspections, automation can elevate technical roles rather than eliminate them.
“It’s more like an enabler,” Panigrahi says.
“You’re enabling the workforce to do things better, faster, and in a more assured way.”
Large-scale infrastructure projects such as Inland Rail, Sydney Metro, and the Melbourne Suburban Rail Loop require not only engineers and project managers but also a technologically skilled maintenance workforce.
Robotics and AI can help ease workforce pressures, but only if workers receive the training needed to collaborate effectively with these technologies.
Panigrahi recommends greater investment in workforce reskilling and stronger collaboration between technology developers, educators, and employers to ensure workers can adapt successfully to the future of infrastructure.
Sources
Chen, K., Zhou, X., Bao, Z. et al. Artificial intelligence in infrastructure construction: A critical review. Front. Eng. Manag. 12, 24–38 (2025). https://doi.org/10.1007/s42524-024-3128-5
Cook, K. (2025, October 1). Road, rail and robots? Ideas for change in the automation age. Retrieved from https://infrastructuremagazine.com.au/road-rail-and-robots-ideas-for-change-in-the-automation-age/
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