New — The State of AI Hiring 2026. Every number sourced

Flagship research

The State of AI Hiring 2026

Volume, trust, and the fastest-moving rulebook in employment law — assembled from public, dated, cited sources. No vendor fairy tales: the source list is printed in full.

ZeaHire Research

The State of AI Hiring 2026

ZeaHire Research · 2026 edition

What's inside

Six chapters, every figure sourced.

01

The volume break

Why the shape of hiring is bending under application volume — and what breaks when teams sample instead of assess.

02

The arms race

How the fastest firms are pulling away, and what separates the ones running AI end to end from the ones bolting it onto one stage.

03

The adoption curve

Where AI is actually being used across the hiring workflow — and where it stalls.

04

The trust gap

What candidates feel about being evaluated by AI, why they withdraw, and how process design earns trust back.

05

The rulebook

US states, NYC, and the EU AI Act clock — one timeline, with dates.

06

The evidence standard

What science and law jointly demand of a hiring decision, plus a buyer's checklist you can hold a vendor to.

+

Staffing spotlight

The desk-economics chapter, on Bullhorn GRID data — how the numbers land on a recruiter's desk.

+

Regional spotlights

GCC and Malaysia/SEA — localization hiring, data residency and the realities most vendors leave out.

The headline numbers

Four of the numbers inside.

Every figure in the report carries its source and date the same way.

4x

more likely: top staffing firms leverage AI versus the rest.

Bullhorn GRID 2026

10%

of firms run AI across the full workflow — only one in ten; most stop at one stage.

Bullhorn GRID 2026

38%

of US candidates withdrew from a process over an AI interview.

Greenhouse 2026, via Fortune

26%

of candidates trust AI to evaluate them fairly.

Gartner, Jul 2025

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