{
  "abstract": "Background\n\nOccupation-level AI exposure indices describe the potential overlap between occupational work content and AI capabilities rather than individual AI use or employer adoption. However, task organisation and access to work-linked protections may differ across occupational contexts. We examined whether associations between a compound high-AIOE/high-task-detachability occupational profile and upstream insurance and material conditions varied by migrant anchoring among highly educated foreign-born adults in the United States.Methods\n\nWe linked 2017-2024 IPUMS American Community Survey (ACS) data for adults aged 25-64 with a bachelor's degree or higher to AI Occupational Exposure (AIOE) and O*NET 30.3 measures. High AIOE was defined as the top occupational quartile. The focal profile combined high AIOE with high task detachability and was compared with lower-AIOE occupations. Migrant anchoring combined citizenship, US residence duration, English proficiency, family co-residence, and homeownership; scores of 0-2 indicated lower anchoring. The three principal domain-specific outcomes were absence of employer- or union-linked health coverage from any eligible source among employed wage and salary workers, uninsurance, and family income below 200% of the federal poverty threshold. All-adult work-linked Social Reproduction Instability (W-SRI) ≥ 2 was retained as the focal cumulative summary measure. Weighted models were adjusted for demographic, regional, annual, and broad occupational characteristics. Inference used CR2/Satterthwaite covariance, wild cluster bootstrap tests, and leave-one-cluster-out analyses.Results\n\nThe analysis included 746,995 foreign-born person-year observations, of which 22.47% were classified as having lower anchoring. Among adults with higher anchoring, the focal occupational profile and lower-AIOE occupations showed few differences in the four principal outcomes. Among adults with lower anchoring, the focal occupational profile was associated with a lower prevalence of all four adverse outcomes. The corresponding between-stratum differences were -10.68 percentage points for absence of employer- or union-linked coverage, -6.75 percentage points for uninsurance, -7.90 percentage points for poverty, and -7.55 percentage points for cumulative burden. Magnitudes remained similar after excluding 2020, restricting the sample to 2018-2024, adding state fixed effects, and restricting the sample to currently employed respondents. In the labour force-restricted analysis, the unemployment modification was -0.37 percentage points (95% CI -1.15 to +0.42) and was imprecisely estimated.Conclusion\n\nAmong highly educated foreign-born adults with lower anchoring, the compound occupational profile was associated with a lower prevalence of coverage absence, uninsurance, poverty, and cumulative burden than occupations with lower AIOE. The findings describe occupation-level differences in upstream insurance and material conditions rather than causal effects of AI adoption or task detachability.",
  "abstract_shown": true,
  "affiliations": [
    "Asia-Europe Institute, Universiti Malaya, Kuala Lumpur, Malaysia.",
    "Department of Management, Lingnan University, Hong Kong, Hong Kong SAR, China."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Tse Hou Hew"
    },
    {
      "affs": [
        0
      ],
      "name": "Rajah Rasiah"
    },
    {
      "affs": [
        1
      ],
      "name": "Nina Xie"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4escyzb71psg3.bib",
  "cited_by": 0,
  "doi": "10.3389/fpubh.2026.1929386",
  "fulltext_url": "https://europepmc.org/articles/PMC13677537",
  "id": "4escyzb71psg3",
  "issns": [
    "2296-2565"
  ],
  "landing_url": "https://europepmc.org/article/MED/42898323",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "3600|Employment and Welfare Studies"
    ]
  ],
  "openalex": "W7219647706",
  "pdf_url": "https://europepmc.org/articles/PMC13677537?pdf=render",
  "pmcid": "PMC13677537",
  "pmid": "42898323",
  "published": "2026-10-05",
  "publisher": "Frontiers Media SA",
  "ris": "https://research.draconitic.com/paper/4escyzb71psg3.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:37Z",
      "native_id": "MED:42898323",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42898323"
    },
    {
      "first_seen": "2026-10-30T12:20:22Z",
      "native_id": "10.3389/fpubh.2026.1929386",
      "source": "crossref",
      "url": "https://www.frontiersin.org/articles/10.3389/fpubh.2026.1929386/full"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "issn:2296-2565",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "AI exposure and task detachability: migrant anchoring and work-linked health protection among highly educated foreign-born adults in the United States.",
  "title_text": "AI exposure and task detachability: migrant anchoring and work-linked health protection among highly educated foreign-born adults in the United States.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:20:22Z",
  "url": "https://research.draconitic.com/paper/4escyzb71psg3",
  "venue": "Frontiers in public health",
  "versions": []
}