Construction in the Age of AI
Name
Suffolk_MIT_AI_Whitepaper_FINAL_9.15.26.pdf
Size
2.91 MB
Format
Adobe PDF
Checksum (MD5)
3189aee528a3ba9e1a66a9322a443c3a
Author(s)
Scott, James
Zheng, Siqi
Lee, Brandon
Larson, Kent
ElKatsha, Markus
Sakai, Yasushi
Lanzisera, Chris
Chin, Jit Kee
Melnikov, Leo
Barry, Austin
Date Issued
September 16, 2026
Journal
SSRN
Citation
Scott, James and Zheng, Siqi and Lee, Brandon and Larson, Kent and ElKatsha, Markus and Sakai, Yasushi and Lanzisera, Christopher and Chin, Jit Kee and Melnikov, Leo and Barry, Austin and Angelos, Jessica and Rodriguez, Connor, Construction in the Age of AI (September 17, 2026). MIT Center for Real Estate Research Paper No. 26/18, Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7566578
Abstract
Construction productivity has been stagnant for decades, with industry fragmentation and historically limited technology investment among several contributing factors. Amid soaring demand and cost pressures, rapid improvements in artificial intelligence started to reshape the industry by improving how projects are designed, approved, procured, planned, manufactured, and delivered. This white paper identifies six major categories ofAI-enabled value levers: Design Automation, Offsite Manufacturing /OSM, Permitting, Scheduling, Skilled Labor & Subcontracting, Supply Chain and, Procurement and evaluates how they may reduce cost, compress schedules, and improve project delivery.
Subjects
AI
automation
construction
real estate
technology
engineering
built environment
supply chain
labor
manufacturing
MIT Department
Massachusetts Institute of Technology. Center for Real Estate
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://ssrn.com/abstract=7566578
