AI hiring, quantified.
The benchmark library: rates, team costs, time-to-hire and market data — updated continuously.
Hourly range, all seniorities
AI Engineer Rates 2026
Hourly and monthly rate bands for embedded AI engineers, by seniority and region — from junior builders to principal-level specialists.
View data →Days, traditional pipeline
Time-to-Hire for AI Talent 2026
How long it takes to land a senior AI engineer — traditional pipelines versus embedded matching, stage by stage, with the cost of every vacant day.
View data →Monthly pod cost, full range
AI Team Cost Benchmarks 2026
What an embedded AI pod costs per month, by use case — copilots, RAG systems, agentic workflows and custom models — plus realistic payback windows.
View data →Pilots that stall before production
AI Adoption Benchmarks 2026
How many AI pilots actually ship — hedged, honest estimates on pilot failure, production rates, evaluation coverage and where the gap really sits.
View data →Application-to-acceptance rate
AI Hiring Funnel Benchmarks
Conversion rates through an AI talent funnel — application to acceptance, stage-by-stage pass rates, and interview-to-offer ratios that actually hold.
View data →Day rate, fractional CTO/CPO
Fractional Leadership Cost 2026
Fractional CTO, CPO and Head-of-AI economics: day rates, typical monthly commitments, and the breakeven point against a full-time executive.
View data →Senior AI engineer, Germany (base)
DACH AI Talent Market 2026
The German, Austrian and Swiss AI market in numbers: salary bands across Berlin, Munich and Zurich, remote-work share, and EU AI Act compliance demand.
View data →Methodology: figures combine Aiporate network data (rates, matching times, vetting funnel) with clearly hedged industry estimates where noted. Ranges are published instead of false-precision point figures, no named studies are cited that we cannot link, and every page carries its own methodology line and update date.