Suffolk and MIT Study Highlights AI’s Potential to Cut Construction Costs by 20%
Suffolk has partnered with the MIT Center for Real Estate and the MIT Media Lab City Science group to explore the growing role of AI in construction.
The research examines how artificial intelligence could improve project design, planning and delivery. It also identifies areas where the technology could help construction companies reduce costs and complete projects faster.
The study, titled Construction in the Age of AI: An Industry White Paper and Research Roadmap, draws on academic research, case studies, expert interviews and industry surveys.
In addition, researchers gathered insights from a roundtable involving more than 50 industry leaders.
Six Key Areas for AI in Construction
The study identifies six priority areas where AI could improve construction processes:
- Design automation: Using AI to improve design workflows and reduce repetitive tasks.
- Offsite manufacturing: Supporting more efficient production of building components away from construction sites.
- Permitting: Helping teams manage approval processes and related documentation.
- Scheduling: Improving project planning and identifying potential delays.
- Skilled labor and subcontracting: Supporting workforce planning and coordination between contractors.
- Supply chain and procurement: Improving purchasing decisions, material planning and supply chain management.
Together, these areas cover several important stages of the construction project lifecycle.
AI Could Reduce Construction Costs and Project Timelines
One of the study’s key findings is the potential financial impact of combining AI tools across construction operations.
According to the research, modelling suggests that applying the six priority areas together could deliver:
- Up to 20% in total project cost savings
- Up to 25% in project schedule savings
These estimates come from modelling a sample project rather than measuring savings achieved across the industry.
However, the findings highlight how AI-enabled construction processes could improve project feasibility and overall performance.
Research Roadmap Supports Future AI Adoption
The Suffolk and MIT research also provides a roadmap for exploring AI applications across the construction lifecycle.
Rather than focusing on individual tools, the study examines how several AI applications could work together to improve project delivery.
For example, better design processes could support more accurate scheduling. Meanwhile, improved supply chain planning could help teams coordinate materials and resources.
As a result, construction companies may find opportunities to reduce delays and improve efficiency across multiple stages of a project.
AI Could Shape the Next Generation of Building
The study highlights the potential for AI to change how construction projects move from initial design to final delivery.
Although the projected savings remain estimates, the research identifies areas where companies can explore practical applications of AI.
Ultimately, the findings suggest that combining AI tools across design, planning, workforce management and procurement could support more efficient construction projects.
