Listing "machine learning" on a resume in 2026 puts you in a pool with thousands of other developers who took the same three online courses. Listing "distributed training infrastructure for large models" or "real-time inference optimization on constrained hardware" puts you in a much smaller pool — and smaller pools with real demand are where premiums live.

Why broad skills compress pay, not expand it

When a skill becomes common knowledge, it stops being scarce, and scarcity is most of what drives a premium. Frontend frameworks are a good historical example: knowing React was a premium skill a decade ago and is now a baseline expectation for most frontend roles. The same compression is starting to happen with generic "AI/ML familiarity" — it's shifting from differentiator to baseline expectation faster than most people realize.

Where the actual premium sits today

How to find out if your specialty actually commands a premium

Search job postings for your specific skill combined with a seniority level, and count how many postings explicitly ask for it versus how many just list it as one bullet among twenty. A skill that shows up as the headline requirement, with few other overlapping candidates in your network claiming it, is a genuine differentiator. A skill that appears buried in a long list alongside a dozen other tools is a baseline expectation, not a premium.

The practical move

Rather than chasing the broadest, most-mentioned buzzword, it's usually a better long-term bet to go deep on something narrower where genuine expertise is hard to fake and hard to quickly acquire. The developers commanding real premiums are rarely the ones who know a little about everything trending — they're the ones who are hard to replace on one specific, valuable problem.