01
ML skills have dispersed across the entire tech stack. Software engineers, data engineers, and product designers now require ML proficiency — traditional AI job title metrics dramatically undercount the real competitive landscape.

02
Senior ML experience (8+ years) is structurally scarce. This drives compensation to the top of market salary bands in virtually every market — including those with large headline candidate pools.

03
Location strategy is now a board-level AI decision. The geography of your ML workforce determines your cost base, speed-to-capability, and competitive position. Reactive premium hiring in core hubs is no longer sustainable.

04
The graduate pipeline does not resolve today’s scarcity. European institutions are growing supply, but medium-term pipeline signals don’t address the immediate shortage of production-ready ML professionals.