{
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What are the main challenges in adopting AI recruitment agents?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "The main challenges include resistance to change, data privacy concerns, algorithmic bias, system integration issues, and the need for recruiter training."
      }
    },
    {
      "@type": "Question",
      "name": "How can companies reduce bias in AI recruitment tools?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Companies can reduce bias by using diverse datasets, regularly auditing AI decisions, and keeping human oversight in the hiring process."
      }
    },
    {
      "@type": "Question",
      "name": "Are AI recruitment agents difficult to integrate with ATS systems?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Most AI recruitment agents integrate easily with ATS platforms through APIs or webhooks, allowing automated candidate screening and data updates."
      }
    },
    {
      "@type": "Question",
      "name": "Do AI recruitment agents replace human recruiters?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "No. AI recruitment agents support recruiters by automating repetitive tasks, while recruiters handle interviews, decisions, and candidate relationships."
      }
    },
    {
      "@type": "Question",
      "name": "What benefits do AI recruitment agents provide?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "AI recruitment agents help speed up hiring, improve candidate matching, reduce manual tasks, and enhance the overall candidate experience."
      }
    }
  ]
}