AI Income Risk · Real Estate
Baltimore-Columbia-Towson, MD
ProofIndex score 62/100 (High Risk) · medium confidence
ProofIndex score: 62/100 — High Risk risk.
Scoring period 2026-Q2 · medium confidence in the underlying data
Baltimore-Columbia-Towson, MD (United States) ranks among the higher-risk markets ProofIndex tracks, with a ProofIndex score of 62/100 (High Risk). The biggest contributor is income concentration — how concentrated local income is in higher-paid, AI-exposed work.
Key risk drivers
- Resilience Factors — 97/100
- Local economic cushioning — savings, benefits, and job diversity that absorb an income shock.
- Income Concentration — 94/100
- How concentrated local income is in higher-paid, AI-exposed work.
- Employment Vulnerability — 92/100
- How exposed local jobs are to AI automation, based on the area’s occupation mix.
- Housing Leverage — 25/100
- 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 MSA occupation proxy · Proxy · MSA · vintage 2020-2024 ACS 5-year. MSA occupation exposure is inferred from local education and parent-state sector mix.
- Income Concentration — US Census Bureau — ACS 5-year
- ACS MSA indicators · Official statistics · MSA · vintage 2020-2024 ACS 5-year. Official survey data at metro level; occupation exposure still uses derived sector/education mapping.
- Housing Leverage — Zillow Research
- Zillow metro home value index · Market data · MSA · vintage May 2026 file release. Market data series for metro home values; some credit and rent inputs are modelled.
- Rental Market Exposure — Zillow Research
- Zillow metro home value index · Market data · MSA · vintage May 2026 file release. Market data series for metro home values; some credit and rent inputs are modelled.
- Resilience Factors — US Department of Labor ETA + ProofIndex model
- US metro resilience estimate · Derived · MSA · vintage 2026. Derived from state-level safety-net parameters and metro labor-market characteristics.
Frequently asked questions
Is Baltimore-Columbia-Towson, MD at risk from AI job losses?
Relative to other United States markets, yes — Baltimore-Columbia-Towson, MD ranks among the higher-risk markets ProofIndex tracks. It scores 62/100 (High Risk) overall, and 92/100 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 Baltimore-Columbia-Towson, MD housing market to AI automation?
Baltimore-Columbia-Towson, MD scores 62/100 (High Risk) 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 94/100 — 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 25/100. Local resilience — savings, benefits, and job diversity that absorb an income shock — scores 97/100 and pulls the composite down. Scores are normalized 0–100 within United States, so this ranks Baltimore-Columbia-Towson, MD against other United States markets rather than against markets abroad.
Why is Baltimore-Columbia-Towson, MD rated High Risk?
High Risk is the risk tier ProofIndex assigns to a composite score of 62/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Baltimore-Columbia-Towson, MD the risk pillars rank income concentration 94/100, employment vulnerability 92/100, housing leverage 25/100. Confidence in the underlying data for this area is medium.
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Other United States markets
- Corvallis, OR — 88/100
- San Jose-Sunnyvale-Santa Clara, CA — 87/100
- Bridgeport-Stamford-Danbury, CT — 87/100
- Santa Fe, NM — 86/100
- Bozeman, MT — 86/100
- San Francisco-Oakland-Fremont, CA — 85/100