Start-ups and investors see potential in machine learning models, which can analyze large amounts of data to predict project performance. The pandemic has accelerated the adoption of digital tools in construction, with companies focusing on problem-solving rather than just AI. For example, nPlan uses complex algorithms to map out the progress of vast infrastructure projects and avoid mistakes or supply gaps. Meanwhile, Buildots uses wearable cameras to analyze building progress. Despite concerns about the accuracy of AI, its ability to work faster and cheaper has proved attractive, with companies like Dusty Robotics developing autonomous devices to trace building blueprints on construction sites.
Key takeaways:
- The construction industry is increasingly adopting artificial intelligence tools such as drones, cameras, apps, and robots to improve efficiency, reduce waste, and accelerate project timelines.
- Despite being traditionally slow in adopting digital technology, the industry is now using AI for tasks such as real-time progress mapping, project performance tracking, and even in real estate transactions.
- However, the use of AI in construction faces challenges including concerns over accuracy and the difficulty of data collection due to the unique nature of each construction project.
- Despite these challenges, the potential for cost and time savings, as well as the ability to attract younger workers with the use of advanced technology, is driving the industry's shift towards AI.