{
  "id": 3803,
  "url": "https://arxiv.org/abs/2605.24688v1",
  "title": "Position: Adopting AI in Practice Does Not Guarantee the Productivity Boost",
  "summary": "This position paper argues that adopting AI in organizational practice does not guarantee productivity gains, because human and environmental factors critically moderate the relationship between AI deployment and realized productivity improvements. Following the advent of high-performance generative models, AI use has been rapidly encouraged in some sectors while being restricted in others. Most practitioners assume that AI brings productivity boosts owing to enhanced technical capabilities, but",
  "authors": "Won Ik Cho, Seong-hun Kim, Geunhye Kim",
  "category": "research",
  "topics": "jobs-economy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-23T17:56:01.000Z",
  "fetched_at": "2026-07-14T16:30:31.921Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3803",
  "original_url": "https://arxiv.org/abs/2605.24688v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}