Every research drop is built from BLS government data and 2026 industry surveys — JOLTS for labor market structure, plus placement data from Globy, KORE1, Korn Ferry, and other 2026 sources. Every claim is cited with source URL and fetch date. No extrapolation, no stale data.
How long does it actually take to hire AI talent — and what does the wait cost? BLS JOLTS + 2026 industry data benchmarks time-to-fill across tech, healthcare, finance, and manufacturing. Finance and healthcare wait 6–7 months. Manufacturing closes in under 45 days. And every vacant AI role costs $5.7K–$52K per month.
Our standard: 2026 data only. The BLS OEWS May 2025 occupational wage dataset — which covers data scientists, software developers, and 800+ other occupations — releases May 15, 2026. Drop #2 rebuilds from that data the week it drops. No 2024 benchmarks published as 2026 research.
Why the fastest 10% of companies close AI roles in under 25 days. What they do differently — with SHRM benchmark data.
Where AI engineers actually live and work. OEWS metro-level employment data for 15-2051 across 50+ metropolitan areas.
Every AITalentNav research drop uses BLS government data for labor market structure (JOLTS, OEWS when current) and vetted 2026 industry surveys for salary benchmarks and hiring cycle times. We enforce a strict 2026-data-only standard: if a data source isn't from 2026, it doesn't get cited. Where data doesn't support a claim, we don't make the claim. Every figure is cited inline with source URL, publication date, and fetch date. BLS OEWS May 2025 releases May 15, 2026 — we will incorporate government wage data at that time.