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Peer-reviewedCC BYFrontiers in public health

AI exposure and task detachability: migrant anchoring and work-linked health protection among highly educated foreign-born adults in the United States.

  1. 1Asia-Europe Institute, Universiti Malaya, Kuala Lumpur, Malaysia.
  2. 2Department of Management, Lingnan University, Hong Kong, Hong Kong SAR, China.

Abstract

Background

Occupation-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

We 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

The 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

Among 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.

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BibTeX
@article{hew2026exposure,
  title = {{AI exposure and task detachability: migrant anchoring and work-linked health protection among highly educated foreign-born adults in the United States.}},
  author = {Tse Hou Hew and Rajah Rasiah and Nina Xie},
  journal = {Frontiers in public health},
  year = {2026},
  month = oct,
  doi = {10.3389/fpubh.2026.1929386},
  url = {https://europepmc.org/article/MED/42898323},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - AI exposure and task detachability: migrant anchoring and work-linked health protection among highly educated foreign-born adults in the United States.
AU  - Tse Hou Hew
AU  - Rajah Rasiah
AU  - Nina Xie
PY  - 2026
DA  - 2026/10/05
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2026.1929386
UR  - https://europepmc.org/article/MED/42898323
AB  - Background  Occupation-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  We 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  The 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  Among 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.
SN  - 2296-2565
ER  -