# AI Data Center Developers Manage Build Risks

AI data center projects face elevated schedule and cost risks from power-intensive GPU racks, complex cooling and power requirements, and tightly interdependent supply chains. Securing land and power can take more than three years, making early site planning and coordination of long-lead components important for developers, contractors, and public-sector buyers evaluating infrastructure timelines and delivery risk. The signal identifies Wesco Anixter as a provider of design, supply-chain coordination, and project-management services, but describes no specific solicitation or contract award.

- Procurement teams should account for extended site and power-access lead times and coordinate those dependencies with equipment and construction schedules.
- Developers and contractors can reduce delivery risk by planning long-lead procurement and coordinating interdependent components early.
- Wesco Anixter’s described services may be relevant to organizations seeking design, supply-chain coordination, or project-management support; the signal does not identify an open procurement opportunity.

**Jurisdictions:** international
**Industries:** Information Technology, Construction & Infrastructure
**Topics:** Physical Infrastructure, Digital Infrastructure
**Published:** October 22, 2026

### Vendors
- Wesco Anixter ()

### Sources
- [AI data center builds face supply chain, design hurdles, ETDatacenters](https://datacenters.economictimes.indiatimes.com/news/ai-compute-infrastructure/ai-data-center-builds-face-supply-chain-design-hurdles/135118390) - ET Datacenters