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9.03

Who makes architecture, engineering & mep design for AI data centers

Architecture and engineering firms that design a data center's building envelope and its mechanical, electrical, and plumbing (MEP) systems before construction begins.

This is the design layer that sits between the developer/tenant (9.01, 9.02) and the general contractors (9.04) who build to the design. Architecture covers the shell and site layout; MEP engineering specifies the power distribution, cooling, and plumbing systems that Layers 5 through 8 of this taxonomy physically supply, translating a target IT load and density into drawings a contractor can build from and equipment vendors can quote against. AI campuses have compressed design timelines even as the systems being designed have gotten more complex — liquid cooling loops, higher-voltage electrical distribution, and larger single-site power capacities all require MEP engineering that a decade of enterprise-colocation templates didn't anticipate. Firms that have built repeatable, pre-engineered designs for hyperscale and AI-campus MEP can turn projects faster than those still customizing each site from scratch, which is the main differentiator investors watching this space should track — that and the engineering labor capacity to staff a larger pipeline of concurrent projects at all.

AI delta: AI campuses require MEP designs for higher-voltage electrical distribution and liquid cooling loops that a decade of enterprise-colocation templates didn't anticipate.

Appears at:Enterprise / small coloLarge colo / hyperscale buildingAI campusGW-class campus· cooling:any — Engaged on essentially every purpose-built data center above the smallest edge deployments; the scope of work (and the premium commanded by firms with AI-campus experience) grows with scale and with liquid-cooling complexity.

Companies on this part (30)

CompanyRoleOwnershipTickerPrice1dConfidenceNote
AECOMdesignerpublicACM66.24 USD+1.5%inferred
AtkinsRéalisdesignerpublicATRL.TO85.77 CAD+1.3%inferred
FluordesignerpublicFLR54.10 USD+4.0%inferred
JacobsdesignerpublicJ151 USD-0.0%inferred
StantecdesignerpublicSTN74.71 USD-0.9%inferred
SwecodesignerpublicSWEC-B.ST130 SEK+1.0%inferred
Tetra TechdesignerpublicTTEK36.64 USD+0.1%inferred
WSPdesignerpublicWSP.TO190 CAD-0.4%inferred
Arupdesignerprivateinferred
Bechteldesignerprivateinferred
Black & Veatchdesignerprivateinferred
Burns & McDonnelldesignerprivateinferred
Buro Happolddesignerprivateinferred
Corgandesignerprivateinferred
Cundalldesignerprivateinferred
Deernsdesignerprivateinferred
Exytedesignerprivateinferred
Genslerdesignerprivateinferred
HDRdesignerprivateinferred
kW Mission Criticaldesignerprivateinferred
M Moserdesignerprivateinferred
Mott MacDonalddesignerprivateinferred
NV5designerunknowninferredAcuren
Pagedesignerprivateinferred
Rambolldesignerprivateinferred
Salas O'Briendesignerprivateinferred
Sargent & Lundydesignerprivateinferred
Sheehan Nagle Hartraydesignerprivateinferred
Syska Hennessydesignerprivateinferred
Ware Malcombdesignerprivateinferred

Who competes here

The same table read the other way: every company above competes for architecture, engineering & mep design sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.

Nearby parts

Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is builtMarkdown · JSON