AI Could Reduce Construction Costs by Up to 20%, According to a Suffolk-MIT Study
A joint study from Suffolk and MIT found that artificial intelligence could reduce construction costs on multifamily projects by up to 20% while also accelerating project timelines. The analysis focused on a completed San Francisco development, estimating potential savings of $35 million in cost and over six months off the schedule. These improvements are expected to significantly boost developer returns, with modeled increases of five to six points in unlevered internal rate of return (IRR) and one to two points in yield on cost. The study highlights AI's role across multiple construction phases including design automation, scheduling, permitting, labor efficiency, supply chain optimization, and offsite manufacturing. It also notes that 75% of projects face cost overruns due in part to fragmented processes like US permitting systems involving more than 20,000 agencies annually. Real-world applications are already emerging: Skanska used AI-powered robotics for site monitoring at a Seattle project and saved up to 40 hours per week. Other firms such as Cordillera Homes have integrated AI into planning and scheduling processes.
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Topics: AI construction_costs efficiency real_estate