The AI Data Center Boom: Why More Companies Are Moving Their Infrastructure in 2026
Data centers are growing faster than at any point in their history, and artificial intelligence is the reason. Every AI chatbot, image generator and analytics tool runs on racks of powerful servers, and companies are racing to build and upgrade the facilities that house them. For businesses that still run their own server rooms or older colocation space, this boom is changing the math on where their equipment should live.
The numbers behind the boom
The growth is hard to overstate. Gartner projects global data center electricity use will jump 26% in 2026 alone, from about 447 terawatt-hours to 565, and expects it to top 1,200 terawatt-hours by 2030. AI-optimized servers are the biggest driver: Gartner expects them to use more power than conventional servers by 2027.
In the United States, Goldman Sachs Research expects data center power demand to more than double between 2025 and 2027, with total U.S. data center capacity reaching roughly 95 gigawatts by the end of 2027. That means new buildings, new campuses and new colocation space coming online across the country.
Why older facilities can't keep up
AI hardware is far denser and hotter than the servers most facilities were designed for. According to Schneider Electric, the average rack drew about 16 kW in 2025 and around 27 kW in 2026, while AI racks commonly run 50 to 70 kW, and the newest platforms go far beyond that. Only about one in five operators say they are ready to support those 50 to 70 kW racks.
Many of those high-density systems also need liquid cooling, stronger floors and more power than an older building can deliver. Upgrading an existing site is often slower and more expensive than moving to a facility built for modern workloads.
What companies are doing about it
As a result, more organizations are relocating equipment rather than retrofitting. The most common moves across the industry are:
- Moving from an on-premises server room into a modern colocation facility with the power and cooling AI hardware needs.
- Consolidating several smaller sites into one larger, more efficient data center.
- Shifting some workloads to the cloud while moving the remaining hardware into a hybrid colocation setup.
- Relocating to regions with more available power, since grid capacity is now a major factor in where data centers can grow.
- Decommissioning and securely disposing of older equipment that no longer makes sense to run.
Why the move itself matters
Servers, storage arrays and network gear are expensive, sensitive and often hold regulated data. A relocation that goes wrong means downtime, damaged hardware or a compliance problem. A successful move depends on careful planning: a full inventory and audit, labeling and cable documentation, anti-static and shock-protected packing, secure chain-of-custody transport, and a clear plan to rack, cable and bring systems back online on schedule.
International moves add customs paperwork, export rules, crating and air or ocean freight coordination, which is why many companies bring in a specialist rather than handling it in-house.
How DataCenters Relocation helps
DataCenters Relocation handles secure, fully managed data center and IT equipment moves for enterprises, regulated industries and colocation operators. We plan the move, pack and transport your equipment with a documented chain of custody, and handle rack and stack, network migration and decommissioning, across the 48 contiguous states and internationally to Canada, Mexico, Europe and Asia.
If the AI boom has you rethinking where your infrastructure should live, we can help you plan the move. Call (866) 216-7742 or request a free relocation quote.
Sources
- Gartner, June 2026: gartner.com/en/newsroom/press-releases/2026-06-10-gartner-says-data-center-electricity-demand-to-grow-26-percent-in-2026
- Goldman Sachs Research: goldmansachs.com/insights/articles/us-data-center-power-demand-projected-to-double-by-2027
- Schneider Electric, July 2026: blog.se.com/datacenter/2026/07/28/data-center-power-density-planning-liquid-cooled-ai-data-centers-around-grid-and-power-constraints
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