AI Infrastructure

The AI race
is a build race.
Build it right.

Investment is accelerating, yet capital alone doesn’t build data centers. Power availability, equipment lead times, and workforce shortages determine which projects stay on schedule.

Unify supports hyperscalers, developers, and operators across the AI infrastructure lifecycle. Our work spans site selection, planning, build, operations, and optimization.

The names you trust, trust us.

$3T+

in projected global
data center capital spending by 2030, up from $1T+ in 2026

118 GW

of projected US data center capacity by 2030, 52% above the December 2025 forecast

50%

of all data center capacity projected to serve AI workloads by 2030, up from 25% in 2025

11.8%

of US electricity could be consumed by data centers by 2030

Power comes first

Site strategy now starts with the grid.

10 GW

the newest data center demand ever connected to the US grid in a single year

Density rises

Cooling and electrical design have to keep up.

13 to 130 kW

per AI rack, from 2020 to today

Crews run short

Skilled trades now set the schedule.

42%

of surveyed contractors report project delays due to worker shortages

Towns get a vote

Local support decides whether a site gets built.

14%

of Americans support a data center in their community, despite 79% supporting US leadership in AI

HOW WE GET THERE

Five phases. One program.

Each constraint lands on a specific phase of the lifecycle. Unify runs the program across all five, so a decision made at site selection still holds at switch-on.

Where to build, and when power arrives.

Guide site selection, power strategy, and the business case for each campus.

Without it: a site that looks ready until the interconnection queue says otherwise.

See case studies
How the building handles AI density.

Align mechanical, electrical, and plumbing (MEP) systems and cooling requirements before design freeze.

Without it: late changes that ripple through procurement.

See case studies
How every site stays on schedule.

Coordinate equipment milestones, schedules, risks, and weekly decisions across sites.

Without it: status that lives in a dozen spreadsheets.

See case studies
Who runs it on day one.

Manage commissioning handoffs, operational readiness, and staffing from day one.

Without it: a finished building with no one ready to run it.

See case studies
Whether efficiency holds up over time.

Track energy use, IT workloads, and efficiency to improve performance site by site.

Without it: efficiency claims that don’t survive a second look.

See case studies