10 Cornerstone Fall 2025 agchouston.org DRILL DOWN C U R R E N T L Y I M P A C T I N G O U R I N D U S T R Y Artificial Intelligence in Construction There are many things to consider before implementation. By Adam Robertson, shareholder, Andrews Myers, P.C. A RTIFICIAL INTELLIGENCE IS reshaping the construction industry, and companies must decide how to adopt it strate- gically or risk falling behind. While AI promises significant benefits such as improved efficiency, enhanced quality control, better safety and proac- tive problem-solving, hasty implemen- tation can create serious vulnerabilities across business operations, legal compli- ance and vendor dependencies. This guide provides a practical framework for navigating AI adoption in construction. It examines both the opportunities and risks, then outlines a systematic approach: identifying the right use cases, running controlled pilots, training staff properly and establishing governance policies. Success means leveraging AI to enhance your core competencies while maintaining the human judgment that drives construc- tion excellence. What Benefits Can AI Provide My Company? Before you start implementing AI into your business, you’ll need to understand the potential benefits of AI, and how those benefits do and do not apply to your specific business. Sure, a power drill is faster than a screwdriver, but if you rarely use screws, the cost of the drill may not justify the investment. For AI, the potential benefits are vast, and there are countless books and presentations discussing its benefits. For construction companies, however, there are four main categories to gen- erally consider: efficiency gains, quality improvements, safety enhancements and proactive solutions. Below are high-level overviews for each of these four categories. While these overviews aren’t intended to be comprehensive, they are intended to help shape how you think of the benefits of AI in relation to your company. 1. Efficiency gains accelerate pro- cesses and reduce resources — time and money — required for task completion through automation and workflow opti- mization. AI can transform time-inten- sive administrative and analytical tasks like invoicing, payroll, quantity takeoffs, schedule optimization and more. For example, an estimator can upload specifications and drawings in a gener- ative AI model to create comprehensive takeoffs in minutes rather than hours. For cost efficiencies, AI can analyze large amounts of historical data and market trends to produce accurate estimates and optimize resource allocation, substan- tially reducing budget overruns. 2. Quality improvement leverages AI’s capacity to process data with con- sistency and precision that far exceeds human capabilities, because AI can identify patterns and anomalies humans might miss due to fatigue or oversight. For example, advanced AI-powered
