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Data Center Construction Delays Highlighted as Risk to AI Infrastructure Growth

Data Center Construction Delays Highlighted as Risk to AI Infrastructure Growth

A LinkedIn post from Buildots highlights internal analysis of 2025 production-rate data across live data center construction projects using its platform. According to the post, key MEP trades are progressing below planned pace, with HVAC systems at 76.9% of required output, electrical containment at 59.4%, and domestic water at 44.9%.

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The post suggests these shortfalls may erode commissioning buffers and increase overhead, implying elevated schedule-risk for data center delivery. For investors, this framing underscores persistent execution bottlenecks amid accelerating AI-driven demand for data center capacity, potentially increasing the value of productivity and predictability solutions such as those offered by Buildots.

If such inefficiencies are widespread, developers and contractors may allocate more budget to construction analytics and automation to protect timelines and returns. This could support long-term demand for Buildots’ technology, while also signaling that project delays and cost overruns remain a key risk factor for companies exposed to the data center build-out cycle.

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