Recruiters caution against using AI to write job postings because it's been trained on 'crappy' descriptions | Fortune
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Recruiters caution against using AI to write job postings because it's been trained on 'crappy' descriptions | Fortune
""If we're going to automate everything, then hiring, finding a job, and recruiting is going to become even more transactional than it's already been," DeBettignies said."
""For years, job descriptions have always sucked, and now that we're using AI, AI has been training on crappy job descriptions," DeBettignies said."
""Unfortunately, the managers just want recruitment to go away, it's their least favorite task," Collier said."
AI-generated job descriptions can save time but often produce shallow, poorly informed postings that limit meaningful candidate connection. AI models trained on existing job listings can replicate low-quality language and inflated or irrelevant requirements. Effective job descriptions require managers to answer insightful questions about who to hire and why, yet many managers lack training and treat recruitment as an unwanted task. Increasing automation risks making hiring more transactional and exacerbating poor specification practices, particularly harming searches for highly specialized IT roles that depend on precise, thoughtful role definitions.
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