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AI continues to transform most aspects of the human resources function. I previously shared my one-page infographic highlighting multiple AI use cases within HR, including recruiting, where AI streamlines tasks and allows recruiters to focus more on strategic work. The LinkedIn 2025 Future of Recruiting Report highlights several AI-driven recruiting trends, such as quality of hire (QoH), skills-based hiring, the evolving role of recruiters, and employer branding, to name a few. Among these, QoH stands out, as it is increasingly prioritized to assess a hire’s long-term value, yet many recruiters struggle with effective measurement. AI helps bridge this gap by analyzing employee performance over time and tracking multiple factors indicative of longer-term value (e.g., the employee is on succession plans, possesses in-demand or scarce skills the company values, etc.). With 61% of talent acquisition professionals believing AI can improve QoH measurement, its potential is significant. In my view, a perennial challenge with QoH metrics is their reliance on short-term hiring manager input rather than long-term, multi-source data that better reflects a hire’s sustained impact. AI can help overcome this limitation by integrating broader performance indicators and analytics that provide a more accurate measure of the long-term quality of hire.
