The 2026 hiring benchmarks are here

In this session, our speakers talk about how to evaluate AI in a hiring platform, including the questions that quickly separate real product from marketing language and what experienced TA leaders are pushing back on when they sit through a vendor demo today.

This session focuses on specific, real‑world AI experiments RecOps teams have run, where they saw impact, and how they chose a few high‑leverage bets instead of chasing every new AI feature.

This session combines org design with operational discipline to show how to build a RecOps function that scales and stays efficient in low-hiring periods.

Every ATS now markets their AI potential. This AI in ATS evaluation checklist will help you assess what actually drives better hiring decisions across governance, workflow and trust.

In this session, we pull back the curtain on real recruiting benchmarks drawn from thousands of companies using Greenhouse. We give you an honest, data-driven look at where the bar actually sits across key metrics like time-to-fill, offer acceptance rates and more.

In this session, we pull back the curtain on real recruiting benchmarks drawn from thousands of companies using Greenhouse. We give you an honest, data-driven look at where the bar actually sits across key metrics like time-to-fill, offer acceptance rates and more.

Explore the new data infographic on AI in hiring. See where trust gaps are emerging, how risk is evolving and what TA teams are doing to hire with confidence in 2026.

In this session, Greenhouse CEO Daniel Chait and hipages unpack the concrete process changes that drove a 38% reduction in time-to-hire, A$2.8M in agency savings and an award-winning candidate experience.