ML/AI Work Research
ML/AI Work Research tracks the market for AI talent from both sides: what employers post — a corpus of 47,834 active AI job postings — and what job seekers search, four years of Google search demand across 18 markets. Seven named indexes, each citable with a sample size, an as-of date and a dataset version.
Every figure is computed from a published, versioned snapshot — see the methodology for how an AI job is defined, how pay is annualized, and how the series are maintained.
The State of AI Hiring 2026
What employers reveal through AI job postings — pay and transparency, demand vs supply, the AI stack and model-war scoreboard, role cards, market access and responsible-AI hiring. Built from 61,400 AI roles and four years of search demand across 18 markets, framed as ten contradictions.
Read the report →Posting corpus
What employers post: volume, pay and required skills across active AI vacancies.
47,834 active AI postings (baseline 100 at 2026-06-07) — by market and specialization
View the index →median advertised pay across 24,596 disclosing postings — quartile bands on floor and ceiling
View the index →of AI vacancies ask for Machine Learning — skill share across 47,834 postings
View the index →Search demand
What job seekers search: four years of Google search demand for AI roles and employers, 18 markets, paired with the corpus above.
search demand for AI roles, 2026-04 (Jun 2022 = 100) — +86% in 4 years
View the index →Anthropic careers searches vs OpenAI — the most-searched AI employer
View the index →searches per live posting across 16 AI roles — where seekers crowd and where they don't look
View the index →of AI postings name Claude (Anthropic) — the model wars, demand side
View the index →Cite thisn=47,834 · as of 2026-07-28 · v2026.06
ML/AI Work, "ML/AI Work Research", dataset v2026.06, n=47834, as of 2026-07-28. https://mlai.work/research