AI Data Centers Are Forcing Logistics to Run at Compute Speed

AI data center construction is accelerating faster than existing supply chains can handle. Hyperscalers have committed hundreds of billions of dollars toward new capacity, with more than 10 gigawatts of additional infrastructure expected to come online in 2025 alone. Nearly half of planned U.S. data center projects for 2026 are already facing delays or cancellations due to supply chain constraints, energy limits, and material shortages.

While large builds still take years from planning to completion, execution speeds have compressed. Equipment deployment, staging, and activation now operate on schedules measured in weeks, not months.

Andreas Podwojewski, Managing Director, North America and Brazil at Arvato, says to AIM Media House, "In the AI and data center space, 24 months is a lifetime… you have to be ready within weeks." This shift is forcing logistics systems, traditionally designed for efficiency and predictability, to operate on compressed timelines.

From Multi-Year Planning to Weeks-Long Deployment Cycles

Traditional third-party logistics (3PL) operations are built around long onboarding cycles. A new warehouse or distribution setup can take months to years, particularly in automated environments. That model does not hold in AI infrastructure, according to Podwojewski.