Elli Peterson's TechCrunch

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 ...

In the fast-paced world of architectural design and consulting, procurement has evolved from a simple vendor selection process into a complex orchestration of materials, specialized contractors, consultants, and technological resources. Firms like Gensler and Foster + Partners manage hundreds of concurrent projects, each requiring precise coordination of procurement decisions that impact design development, construction documentation, and ultimately project delivery. The introduction of artificial intelligence into this domain represents not just an efficiency upgrade but a fundamental reimagining of how architectural practices source, evaluate, and manage the resources that bring visionary designs to life. Understanding AI-Driven Procurement Strategy begins with recognizing that architectural procurement operates across multiple dimensions simultaneously. Unlike retail or manufacturing procurement, architectural firms must balance aesthetic considerations with performance specificati...