Tech
On July 15, McKinsey released the report 'How AI Is Reshaping the Future of the AEC Industry,' stating that AI automation is not an 'extinction event' for the construction industry, but it will fundamentally change how tasks are executed. The report notes that companies with proprietary data, decision-making workflows, and outcome-based billing capabilities will benefit. AI is expected to automate 39% of non-manual work in the construction industry and 50% of related tasks in the architecture and engineering fields. The report divides automation goals into three phases: short-term (within 18 months), medium-term (18 months to 4 years), and long-term (over 4 years), and recommends that companies prioritize 3 to 5 high-value workflows and clarify a 'buy, build, or partner' strategy.
New Construction Challenges and Response Strategies Arising from Accelerated Data Center Development
The pace of data center construction is accelerating, but the difficulty of planning, permitting, and delivery is rising in tandem. Power and water issues are drawing regulatory and community attention, with approval times extending from under a year to several years. The construction phase faces material delivery delays, price fluctuations, and labor shortages. While modularization and prefabrication can compress schedules, they reduce tolerance for errors. Through construction technologies such as reality capture, digital documentation, and deviation analysis, project teams can improve on-site visibility, identify deviations and coordination issues early, and maintain decision-making certainty amid accelerated progress.
CORE Construction puts Emlid centimeter-level GNSS receivers directly into the hands of field superintendents and project engineers for immediate self-checks on critical steps. Before one concrete pour, a superintendent found all anchor bolts offset by about 6 inches, and timely correction saved significant costs. This tool serves as an internal verification method, compensating for the limitations of drone aerial surveys in detail validation and reducing temporary reliance on external surveyors. The company is currently beta-testing across three regions, with plans to establish a standardized deployment framework by summer 2026.
Google announced on Tuesday that it has signed an agreement with Cypress Creek Energy to invest in and purchase electricity from Steel River Energy Center, the largest solar facility in the United States. Located in Mississippi County, Arkansas, the project integrates solar and energy storage and is expected to be fully operational by 2029. Google will serve as the anchor investor and offtaker, with the first two phases of the project providing 1.6 gigawatts of direct current solar power and 1.9 gigawatt-hours of energy storage.
Meta announced on Monday that it will invest over $50 billion in its data center and surrounding areas in Richland Parish, Louisiana, a move seen as one of the largest investments in artificial intelligence infrastructure. After expansion, the facility will cover nearly 10 million square feet in total area with an IT capacity of 5 gigawatts, making it Meta's largest data center worldwide. Construction began in December 2024, undertaken by Turner Construction, DPR Construction, and Mortenson, and an energy agreement has been reached with Entergy Louisiana.
New York State Governor Kathy Hochul signed an executive order suspending environmental permits for hyperscale data centers, making the state the first in the nation to implement such a moratorium. Construction industry organizations have strongly opposed this move, arguing that it will harm the economy and weaken competitiveness.
Micron Technology announced on July 9 that it has poured the first concrete at its $100 billion semiconductor campus in Clay, New York, with contractors Gilbane, Jacobs, and Bechtel involved, and progress over 25% ahead of schedule. Approximately $675 million in contracts have been awarded to local New York businesses so far.
Profit margin erosion has long been viewed as inevitable 'weather,' but BIM is becoming a powerful tool for contractors to protect profits by addressing issues upfront, reducing rework, and improving collaboration efficiency. Data shows that BIM can reduce costs by 15-24% during the design phase, 5-15% during the construction phase, and significantly improve operational efficiency.
A joint survey by AlignOps and Construction Dive found that 97% of construction companies lack real-time asset visibility, even after investing in technology. Most leaders overestimate their data-driven decision-making capabilities and actually rely on intuition. Fragmented systems and a lack of workflows lead to idle equipment, duplicate purchases, and lost tools, costing hundreds of thousands of dollars annually. Experts recommend using unified platforms and simple processes to validate intuition with data and shift from a reactive to a proactive stance.
Road construction workers face long-term risks of being struck by vehicles, which may lead to 'habituation' and reduced alertness. Texas A&M University Assistant Professor Namgyun Kim and colleagues collaborate to study how to enhance workers' hazard perception and response through VR simulations, brain activity monitoring, and AI systems, and explore the return on investment and future trends of AI in safety training.