AI Income Risk · Real Estate

New Jersey

ProofIndex score 80/100 (Critical) · medium confidence

ProofIndex score: 80/100 — Critical risk.

Scoring period 2026-Q2 · medium confidence in the underlying data

New Jersey (United States) ranks among the higher-risk markets ProofIndex tracks, with a ProofIndex score of 80/100 (Critical). The biggest contributor is income concentration — how concentrated local income is in higher-paid, AI-exposed work.

Key risk drivers

Income Concentration — 97/100
How concentrated local income is in higher-paid, AI-exposed work.
Employment Vulnerability — 95/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Resilience Factors — 93/100
Local economic cushioning — savings, benefits, and job diversity that absorb an income shock.
Housing Leverage — 87/100
How leveraged local mortgage borrowers are — loan-to-value, debt-to-income, and price-to-income.

Where this score comes from

Every ProofIndex pillar is computed from published statistics. These are the sources behind this area's score, with the vintage of each and the limitation we know about it.

Employment Vulnerability — US Census Bureau + ProofIndex model
Derived ACS occupation proxy · Proxy · State · vintage 2020-2024 ACS 5-year. Occupation exposure is inferred from sector and education signals, not direct OEWS occupation employment.
Income Concentration — US Census Bureau — ACS 5-year
ACS state indicators · Official statistics · State · vintage 2020-2024 ACS 5-year. Official survey data; state-level values can hide MSA-level concentration.
Housing Leverage — Zillow Research
Zillow home value index · Market data · State · vintage May 2026 file release. Market data series; rental and mortgage stress inputs may be derived from home-value and income relationships.
Rental Market Exposure — Zillow Research
Zillow home value index · Market data · State · vintage May 2026 file release. Market data series; rental and mortgage stress inputs may be derived from home-value and income relationships.
Resilience Factors — US Department of Labor ETA
US safety-net parameters · Official statistics · State · vintage 2026. Statutory and public program parameters; savings and absorption are still proxy estimates.

Frequently asked questions

Is New Jersey at risk from AI job losses?

Relative to other United States markets, yes — New Jersey ranks among the higher-risk markets ProofIndex tracks. It scores 80/100 (Critical) overall, and 95/100 on employment vulnerability — how much of the local occupation mix overlaps with work today’s AI can already do. ProofIndex measures how exposed local incomes are, not how many jobs will go: a higher score means more of the local wage base sits in work that AI is changing.

How exposed is the New Jersey housing market to AI automation?

New Jersey scores 80/100 (Critical) on ProofIndex, which blends how exposed local incomes are to AI with how leveraged the local housing market is. The largest single contributor is income concentration at 97/100 — how concentrated local income is in higher-paid, AI-exposed work. Housing leverage — loan-to-value, debt-to-income, and price-to-income among local borrowers — scores 87/100. Local resilience — savings, benefits, and job diversity that absorb an income shock — scores 93/100 and pulls the composite down. Scores are normalized 0–100 within United States, so this ranks New Jersey against other United States markets rather than against markets abroad.

Why is New Jersey rated Critical?

Critical is the risk tier ProofIndex assigns to a composite score of 80/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For New Jersey the risk pillars rank income concentration 97/100, employment vulnerability 95/100, housing leverage 87/100. Confidence in the underlying data for this area is medium.

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Full pillar breakdowns, peer benchmarking, and data sources with confidence ratings.

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