Content provided by Rippling
How HR Leaders Are Adopting AI
How far along are HR teams with AI, and what is holding them back? Rippling's research report draws on a survey of 1,033 HR and people operations decision-makers across Australia, Canada, the UK and Europe to show where adoption stands today. It covers the most common AI use cases, from recruiting and candidate screening to HR helpdesk chatbots, and what teams report in efficiency gains across recruitment, pre-boarding and onboarding. It also examines compliance readiness, the safeguards teams have in place, which HR decisions leaders believe should never be made solely by AI, and the barriers to broader adoption, led by data security and privacy concerns. Practical guidance in each section helps you benchmark your own team and plan your next steps with AI in HR.
- 1,033 HR leaders surveyed
- AI compliance benchmarks
- Practical next steps
What you'll get
Inside the report, you'll find survey data and practical guidance on how HR and people operations teams are adopting AI, measuring its impact and managing the compliance questions that come with it.
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Adoption benchmarks
See how 67% of teams reached intermediate or advanced AI adoption and which HR use cases lead.
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Measured efficiency gains
Learn how AI is affecting recruitment, pre-boarding and onboarding time, along with reported operating cost reductions.
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Governance and safeguards
Review the safeguards HR teams use and which decisions 92% say should never rest solely with AI.
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Barriers to adoption
See how 67% of teams reached intermediate or advanced AI adoption and which HR use cases lead.
Guide preview
2026 survey of 1,000+ HR leaders