
Job Titles Explain Under 10% of the Skills a Tech Job Requires
For 52.5% of job postings, most of their closest skill matches carry a different job title. Product Engineer postings look like another job 81% of the time; Product Designer, 9%.
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For 52.5% of job postings, most of their closest skill matches carry a different job title. Product Engineer postings look like another job 81% of the time; Product Designer, 9%.

arXiv AI submissions grew 18.9x in a decade. We decomposed the growth: it's ~28x more researchers, each publishing just 9% more. And only 0.51% of 84,420 papers have a near-duplicate.

We mapped advertised software-engineer pay against how much each company is actually growing or shrinking — using live job postings and workforce-flow data. Pay turns out to tell you almost nothing about where a company is headed.

Every company wants to be an AI company. Far fewer want to hire for it. We measured 182,470 job postings and 568,663 tech CVs: employers mention AI four times more often than they ask for it.

In Washington, 47% of job postings show the salary. In Kansas, 5.3% do. We measured salary disclosure across 118,706 US job postings and 38 states — and found that even where the law requires pay in the posting, roughly half still don't show it.

Read the people, not the postings: national-lab data scientists build ML like Big Tech, while civil-service agency data scientists do statistics-and-reporting. Two different jobs under one title — and neither ever touches frontier tech.

We mapped the AI Engineer role from both sides — Skillenai's talent graph and job postings. Who feeds it, where they go next, and why the skills employers ask for don't match what workers list.

AI didn't torch the junior job market. A frozen labor market did — and the housing market, frozen by the same 2022 rate shock with zero AI, is the control group that proves it.

US employers ask 2.5x more generalist software engineers than AI engineers to build with LLMs, and the generalists do it in TypeScript and Ruby, without LangGraph. A demand-side look at who really builds AI.

A viral Levels.fyi post says the median PM out-earns the median engineer. Across the open job market, that gap is a spam artifact plus a composition effect — match them rung-for-rung and the engineer wins every level.