Research
The State of AI Readiness
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Recruiting teams are increasingly relying on AI, automation, and data-driven sourcing tools. But when candidate information is outdated, incomplete, or difficult to verify, those tools can amplify inefficiency and reduce confidence in the recruiting process.
In a research study conducted by Aptitude Research and commissioned by ZoomInfo, the firm examines the gap between recruiter confidence in candidate data and the condition of the records they rely on. Based on responses from 318 talent acquisition, recruiting, and IT professionals, the report explores:
Why 74% of respondents feel confident in their candidate data while 61% believe at least a quarter of their records are outdated
How quickly candidate information becomes unreliable
The manual work recruiters spend validating and correcting records
How inaccurate data affects productivity, candidate quality, and hiring confidence
Why verified data is becoming essential as recruiting technology moves toward autonomous execution
What questions recruiting teams should ask when evaluating candidate data providers
Download the full report to understand the hidden costs of unreliable candidate data and what recruiting teams can do to build a more trustworthy sourcing foundation.
