NJ AI Early Warning
Mapping AI job exposure and potential child risk across New Jersey's 21 counties.
Built by Andrew Buher. Data sources: BLS OEWS May 2024, U.S. Census Bureau, Annie E. Casey Foundation KIDS COUNT, and peer-reviewed economics research.
Key Findings
- New Jersey civilian labor force: 4.9 million workers
- Workers in jobs with high AI exposure: approximately 20%
- Workers in the seven highest-risk occupations: 248,340
- NJ counties flagged Critical: 7
Critical-Tier Counties (Child Risk Index)
- Cumberland County — index score 84
- Camden County — index score 77
- Atlantic County — index score 72
- Passaic County — index score 69
- Essex County — index score 65
- Hudson County
- Union County
Highest-Risk Occupations
- Customer service representatives
- Bookkeeping, accounting, and auditing clerks
- Administrative assistants and secretaries
- Data entry keyers
- Insurance claims processors
- Payroll and timekeeping clerks
- File clerks
About
This dashboard was created by Andrew Buher following a newsletter piece in April 2026 asking: if AI displaces a parent's job, what happens to the child? The Child Risk Index combines AI occupational exposure scores, worker adaptive capacity, county poverty rates, single-parent household rates, and child poverty rates to identify communities most vulnerable to the downstream effects of labor market disruption.
Data Sources
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024
- Eloundou et al., Science 2024 — AI task-exposure scores by occupation
- Manning & Aguirre, NBER 2026 — adaptive capacity framework
- Collinson et al., NBER 2025 — effects of eviction on children
- Stevens & Schaller, Economics of Education Review 2011 — grade retention
- Hilger, American Economic Journal 2016 — long-term effects of parental job loss
- Annie E. Casey Foundation KIDS COUNT 2023 — county child poverty data
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