Construction is changing fast
Industry commentators are calling out three big shifts — faster timelines, a jump in modular construction, and rising AI adoption in planning and operations per McKinsey/Deloitte coverage. (x.com)
McKinsey’s 2019 analysis found volumetric modular projects can shorten schedules by roughly 20–50% and estimated the modular share of new real‑estate construction in the U.S. and Europe could be worth about $130 billion by 2030 under moderate penetration. (mckinsey.org) Deloitte’s industry outlook reports U.S. construction spending topped roughly $2 trillion and industry employment reached about 8.3 million in mid‑2024, and the firm is urging firms to “invest in a digital foundation” including BIM, robotics and GenAI to capture productivity gains. (deloitte.com) Deloitte and industry commentators project AI and advanced analytics can cut project costs by about 10–15% and reduce budget and timeline deviations in the range of roughly 10–20% when applied to planning and operations. (autodesk.com) A McKinsey survey cited in business coverage shows roughly one‑third of construction firms plan AI implementations by 2025, and early adopters reported case‑level benefits including as much as ~20% shorter timelines and up to ~40% fewer delays in specific pilots. (forbes.com) Industry watchers and trade surveys say adoption is uneven but accelerating: a 2025 RICS survey of more than 2,200 built‑environment professionals called out a likely rapid uptick in AI integration over the next 12–24 months while noting data maturity, skills and trust as primary adoption barriers. (rics.org) McKinsey’s broader capital‑projects research also highlights persistent performance gaps—large projects typically run about 20% longer than planned and can go up to roughly 80% over budget—underlining why firms are experimenting with modularization, data platforms and AI to tighten schedules and predictability. (mckinsey.org) Deloitte’s recent outlook and McKinsey’s modular research converge on one practical prescription: scale modular productization and pair it with a digital backbone (BIM/digital twins, procurement analytics, robotics) to convert pilot AI and prefab gains into repeatable, portfolio‑level time and cost savings. (deloitte.com)
