Open research
Open research on AI-era hiring.
First-party datasets on hiring, salary, and interview patterns. Published under CC BY 4.0. Cite freely.
Reports
Primary-source datasets, published openly.
Snapshot date, sample size, and company count up front.
What 207,000 Live Job Postings Reveal About How Companies Hire
A first-party snapshot of 207,284 open roles across 1,262 companies and six ATS platforms. Which system each employer uses, what postings actually screen for, and where the real openings are. Workday carries 60% of all listings; senior roles outnumber entry-level roughly 3 to 1.
Read the report→The AI Hiring Filter Doesn't Exist Yet
Cursor is required in 6 jobs out of 37,920 April 2026 postings. ChatGPT in 4. GitHub Copilot in 5. The AI-replaces-jobs narrative isn't showing up in the actual JDs companies publish. AI is the new Excel: pervasive, normalized, and assumed rather than required.
Read the report→The AI-Era Hiring Index: 2026 Q2
A snapshot of 3,502 open roles at 16 AI-native and high-growth employers, covering role mix, salary disclosure, remote availability, and skill requirements.
Read the report→How this is built
About this research program.
Four-Leaf operates a nightly job-data pipeline across public ATS feeds (Greenhouse, Ashby, Lever) for a curated index of AI-native and high-growth employers. These reports aggregate that corpus. We publish the dataset behind every headline number, disclose sample sizes, label any LLM-derived signals as such, and keep the methodology in one place so findings stay reproducible.
Read the methodology →