• Examining how manufacturers are applying AI across recruiting processes to evolve the role of the Recruiter while improving speed and quality of hire on the frontline
• Redesigning Recruiter workflows and capability models to clarify what should be automated, what requires human oversight, and where judgment remains non‑negotiable
• Separating high‑impact AI use cases from those creating friction, risk, or bias, with lessons on where automation is helping and where it is quietly undermining outcomes

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