AI Use Cases in Construction: Lessons from Projects Under Pressure
My clearest lessons about AI Use Cases in Construction did not come from polished demonstrations. They came from projects under pressure: a commercial tower whose concrete quantities kept moving, an infrastructure package waiting on late design information, and a closeout team reconstructing decisions from scattered RFIs, submittals, and daily reports. Those jobs taught me that artificial intelligence creates value only when it is attached to a defined construction decision, supplied with controlled project data, and placed inside the workflow of the people accountable for the outcome. A useful overview of AI Use Cases in Construction should therefore be read through a delivery lens. The important question is not whether a model can recognize drawings, summarize documents, or predict a delay in isolation. The question is whether that capability helps an estimator close a scope gap, enables a superintendent to protect the look-ahead schedule, gives project controls earlier evidence of ...