Teams building for Apple platforms are running an average of 81 physical Macs for CI/CD and employ around 20 engineers, yet the way they host, provision, and scale that hardware is fragmented, and the ground is shifting fast beneath them.
The accelerant is AI. Nearly nine in ten teams say pull-request and commit volume has risen since adopting AI coding tools, and over 80% say AI adoption has driven up their Mac infrastructure costs. AI is generating more code, more builds, and more pressure on the constrained Mac capacity that teams are already struggling to scale — turning an operational nuisance into a budget-line problem.
We asked 300 US-based DevOps, platform, infrastructure, and SRE engineers and leaders working at mid-market and enterprise organizations how their dev teams are building apps for iOS and macOS.
The typical respondent runs a meaningful Mac fleet for a compact Apple engineering team.
Most teams already use cloud-hosted, managed-service, or hybrid Mac CI, with only 1 in 6 remaining purely on-premises. GitHub Actions is running in nearly a third of dev pipelines, with builds averaging between 20-40 minutes.
Teams aren’t drowning in build queues — only 6% report queues frequently impacting development. The burden is operational: procurement lead times, tool integration, security, fleet management.