According to the analysis conducted, the use of six artificial intelligence tools in the construction of a 180,000-square-foot multi-apartment complex can lead to a 17–20% reduction in project costs and a 22–25% decrease in completion times. The published report highlights six interconnected construction processes where AI can enhance productivity. Key drivers of the industry's growing interest in these technologies include advancements in AI models, the ability to process large volumes of construction data, and economic incentives for AI adoption.

Key Artificial Intelligence Tools in Construction

The report identifies six main tools:

• Automated design,
• Off-site manufacturing,
• Permitting documentation,
• Project planning,
• Skilled labor and subcontracting,
• Supply chain and procurement management.

Progress in any one of these categories can drive improvements in the others. In particular, automated design is cited as a primary factor for boosting efficiency across the remaining five categories. It serves as the foundation for verifying permitting documentation, automating procurement, scheduling, and coordinating subcontractors.

Process Interconnections and Implementation Examples

The study notes strong links between supply chains, off-site manufacturing, and schedule optimization. For effective operations, components produced off-site must arrive precisely when installation teams are ready, requiring close coordination among these elements.

As an example, the report examines a $180 million multi-apartment project in San Francisco, completed in 2024. This project was used for a retrospective analysis of potential productivity gains, time savings, and cost reductions.

Growth of AI Adoption and Industry Impact

The spread of AI in construction is driven not only by technological advancements but also by the rapid expansion of data center construction across the United States. From March to August, the number of planned or active projects nearly tripled.

Research Methodology and Next Steps

Data for the analysis was gathered through a roundtable discussion, a review of published literature, and expert interviews. While the results are not causal, the report outlines further steps, including additional research and the improvement of data standards for the construction industry.

The report notes that there is now sufficient evidence supporting the feasibility of integrating AI into construction processes. The key question is how the industry will leverage these opportunities in the future.