BUSINESS ISSUES
Setting the Bar
Data center construction is employing AI to drive sustainability on jobsites
By Todd Thomas
AI-driven data center construction has moved beyond being a high-growth niche. It has become one of the most influential forces shaping how large industrial projects are designed, permitted, built and operated. While much of the attention has focused on power demand and grid capacity, another shift is happening closer to the ground and it’ s one that directly affects utilities, contractors and equipment operators.
Developers, communities and technology companies are no longer asking only how much energy a facility will consume once it is operational. They are asking how it is built, what materials flow through the site, how waste is handled and what the construction footprint looks like day to day. For lifting professionals, this scrutiny is translating into new expectations, new data requirements and opportunities to operate more efficiently.
Historically, construction sustainability discussions centered on end-of-life outcomes or high-level diversion percentages reported after a project wrapped. AI data centers are changing that model. But developers now face community pressure, investor expectations and internal mandates that extend sustainability accountability into the construction phase. That includes how access equipment is deployed, how material handling affects congestion and how temporary infrastructure contributes to overall site efficiency.
Utility-scale work— power delivery, substations, fiber and network infrastructure— sits squarely in this spotlight. These scopes rely heavily on aerials, telehandlers and specialty access equipment. As data centers push for faster schedules and cleaner sites, operations are being evaluated not just for safety and productivity, but for how they influence waste generation, material flow and carbon impact.
Measuring Waste
One of the most significant changes underway is visibility. AI-enabled monitoring systems, smart containers and image recognition tools are making construction waste measurable at a level that was not possible even a few years ago.
For contractors and crews, lift placement, staging decisions and equipment routing all affect how materials move across a site. Poor visibility leads to excess handling, mis-sorted debris and unnecessary haul-offs.
Better data reveals where inefficiencies occur and how access planning can reduce them. Instead of relying on estimates or monthly reports, large data center projects are now tracking:
• Material types as they enter and exit the site
• Contamination rates in waste streams
• Actual diversion outcomes by material, not blended totals
This shift creates accountability, but it also creates leverage. Contractors who can demonstrate cleaner operations, fewer unnecessary moves and better coordination between equipment and material handling are gaining an advantage.
For many years, sustainability requirements were treated as another box to check— often handled by
20 l March-April 2026