Construction Managers

Some construction management tasks are already getting AI help. For example, budgeting and cost‐forecasting use machine learning to improve accuracy. A recent industry study found that AI models can make cost estimates more accurate and efficient, even if human experts still guide the process ^[1].

Likewise, startups like Buildots use cameras and AI analytics to monitor project progress and predict delays. Buildots reports that its AI progress tracking can cut delays and cost overruns by up to 50% ^[2]. In sustainability work, AI tools can analyze building designs and systems for energy efficiency.

One Time magazine report showed an AI system that cut a building’s heating/cooling energy use by over 15% ^[3], which is the kind of insight construction managers can use when planning green buildings. These examples show AI is augmenting tasks like cost tracking, scheduling, and green planning.

AI is slowly growing in construction management but not overnight. The construction industry has collected lots of project data, and some leaders believe AI can unlock it ^[4]. However, builders are traditionally cautious about new tech.

A BRE Group report notes construction is still “in the early stages of” AI adoption ^[4]. High setup costs and the need for good data can slow things down. On the other hand, there are strong reasons to try AI.

Many regions face skilled-labor shortages and high project costs, so companies look for efficiency gains. For example, Intel recently backed an AI construction startup, signaling confidence that smart tools can pay off ^[2].