Every analyst report and earnings call talks about GPUs, megawatts, and capex. Very few talk about the people actually needed to build, operate, and run the infrastructure — and what it takes to hire them at the speed the business is moving.
We sit inside this market every day. Across our embedded RPO engagements, we see hiring plans approaching 1,000 roles in 12 months become the norm for the neocloud cohort. We see talent functions of 10-15 people asked to deliver what historically took a team of 50 over three years. We see senior offers lost to AWS, Google, and Meta on package shape, not headline number.
This report puts the public data side by side with what we observe operating inside these engagements, so AI infrastructure talent leaders have a single, defensible reference for what they're up against. It is built from IDC, McKinsey, Uptime Institute, Deloitte, BLS, CBRE, JLL, SEC filings, and our own Nebius engagement, with sources cited throughout.
If you are planning hiring for an AI infrastructure scale-up in 2026, this is for you.