{
  "id": 12637,
  "url": "https://arxiv.org/abs/2607.19733",
  "title": "AI-Increased Talent Retention Strategies: Fostering Long-Term Employee Engagement and Development in Talent Management",
  "summary": "arXiv:2607.19733v1 Announce Type: new Abstract: The integration of AI in Talent Management is a change in the way that organizations are designing their strategies for Talent Retention (TR), engagement, and future strategy. New and innovative tools such as predictive models, sentiment analysis, and personalized career planning have come up, and they offer better ways of addressing retention issues, workforce engagement, and, in general, sustainability. Through the application of predictive analy",
  "authors": "Jay Barach",
  "category": "research",
  "topics": "jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-23T04:00:00.000Z",
  "fetched_at": "2026-07-23T05:10:49.458Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/12637",
  "original_url": "https://arxiv.org/abs/2607.19733",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}