Source: Featured Blogs - Forrester
When Uber exhausted its annual AI budget in four months and capped individual engineer spending at $1,500/month, it exposed a structural problem: companies haven't built the governance systems to allocate scarce compute resources. This isn't a technology problem—it's an organizational one. Without proper cost controls and usage visibility, teams treat AI inference like an unlimited utility. The result is a choice between starving innovation with arbitrary caps or hemorrhaging margin on wasteful experiments.