The research library
Market maps, category deep dives, and benchmark reports on recruiting and HR technology. Independent, analyst-written, and grounded in data. Every figure links to a real source, so you can check our work rather than take our word.
16 reports published · 116 sourced statistics behind them
01More research
The definitive index of AI recruiting statistics for 2026: 75+ figures on adoption, ROI, the vendor market, fraud, and bias, each tied to a primary source.
A first-principles guide to autonomous AI recruiting agents in 2026: what they actually automate, the real players and funding, honest ROI, and where they break.
The EU Pay Transparency Directive just flipped two hiring norms at once. A first-principles guide to the comp-intelligence stack it forces on every employer.
Roughly 70 to 85 percent of employers claim skills-based hiring, but fewer than 1 in 700 hires were actually affected. A first-principles operator guide.
Mobley v. Workday turns thousands of employer defendants into one nationwide vendor. How AI hiring liability migrated from buyer to builder, and what to do.
Entry-level hiring did not collapse uniformly in 2026. It split along an AI-exposure seam. A first-principles guide to the data, mechanism, and playbook.
Hiring became a security problem in 2026. Inside the deepfake threat, the DPRK IT-worker pipeline, and the identity verification stack built in one quarter.
How staffing firms and recruiting agencies are adopting AI, and where contingent demand is shifting.
The leaders, the challengers, and the consolidation reshaping the applicant-tracking system market.
A deep dive on the fastest-consolidating assessment category and what it means for interview quality and fairness.
A side-by-side analysis of sourcing and candidate-discovery platforms, with selection criteria for in-house and agency teams.
AI adoption in recruiting jumped about 65% in a year, with 43% of organizations now using it and 52% of talent leaders planning to add autonomous agents. This is a data-driven look at what is working, what is hype, and what talent leaders should do next.
A research-grade map of the recruiting technology landscape across ten categories, the consolidation wave reshaping it, the funding behind it, and a framework buyers can use to navigate it without overpaying or overbuying.
Market sizing and a forecast for freelance, contingent, employer-of-record, and AI-data-labor platforms.
Interview load, time to fill, and applications per hire across engineering, product, data, sales, and support.
02What the research establishes
A few of the headline numbers behind the library, drawn from across the talent market. Each one carries an honest confidence label and links straight to its primary source.
Median time to fill, nonexecutive roles
SHRM's benchmark for ordinary (nonexecutive) requisitions, the figure most hiring teams actually plan against. Executive roles run longer, at a median of 45 days.
Down from 44 days in 2025.
Organizations using AI in HR
Nearly half of organizations now use AI for HR tasks, a sharp acceleration in mainstream adoption.
Up from 26% in 2024, a 65% year-over-year increase.
Candidates abandoning an AI interview process
38% of candidates have walked away from a hiring process because it included an AI interview, with another 12% saying they would.
03Coverage
12 categories across the hiring funnel, from attracting candidates to operating the function. Every report sits inside one of them.
Custom research
Tell us the question you are working on, a tool selection, a category you are entering, or a company you are diligencing, and an analyst will walk your team through the data.
For employers, agencies, and investors.
The Talent Market Pulse
A monthly read on the talent market for talent leaders, agency operators and investors: the newest research and the data points that shifted, with a verifiable source under every one.