Episode 59: Prefab's Play in the Data Center Build Surge

AI-driven demand for computing capacity is compressing data center construction timelines in ways traditional field construction can't absorb. This episode breaks down how prefabrication and Design for Manufacturing, Logistics, and Assembly (DfMLA) are reshaping how hyperscale and enterprise data centers get built — and what that means for developers, contractors, and capital partners evaluating project delivery strategy. Key Takeaways: Typical data center construction runs 18–30 months from concept to commissioning; AI infrastructure demand is making that window commercially untenable for many owners. Prefabricated concrete systems have demonstrated schedule compression of 30–40% versus traditional methods, with a more conservative baseline of 2–4 months of acceleration on standard programs. Data center sequencing is uniquely unforgiving — structural delays cascade directly into MEP, IT infrastructure, and commissioning timelines with real revenue consequences. DfMLA (Design for Manufacturing, Logistics, and Assembly) pulls manufacturers, architects, engineers, and contractors into coordination before fabrication begins, resolving sequencing and logistics decisions that traditional construction handles in the field under schedule pressure. Parallel workstreams — manufacturing offsite while site work and foundations proceed simultaneously — reduce exposure to labor shortages, site congestion, and weather disruption that routinely impact large-scale field construction. Long-term adaptability is a design requirement, not an afterthought: DfMLA-planned prefabricated systems can accommodate future equipment upgrades and capacity expansions with less structural disruption and downtime. Clark Pacific is among the manufacturers actively integrating DfMLA with prefabricated concrete systems for data center delivery. For developers and general contractors who haven't built DfMLA and prefabrication workflows into their delivery model, the competitive question is sharpening: build the capability internally or cede ground on hyperscale and AI infrastructure projects to teams that already operate this way. The forcing function — AI demand — shows no sign of easing, which means this isn't a trend to monitor from a distance. Subscribe to Built Different for daily updates on Modular construction reality.