AI Income Risk · Real Estate

Cheb

ProofIndex score 61/100 (High Risk) · medium confidence

ProofIndex score: 61/100 (High Risk risk).

High Risk is this area's band among covered Czech Republic markets, not an expected outcome. Confidence (medium) describes how complete and direct the input data is, not how accurate a prediction would be.

Scoring period 2026-Q3 · medium data confidence

Cheb (Czech Republic) ranks among the higher-risk markets covered by ProofIndex, with a ProofIndex score of 61/100 (High Risk). The biggest contributor is employment vulnerability. This measures how exposed local jobs are to AI automation, based on the area’s occupation mix.

Key risk drivers

Employment Vulnerability: 92/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Income Concentration: 73/100
How concentrated local income is in higher-paid, AI-exposed work.
Resilience Factors: 58/100
Local economic buffers such as savings, benefits, and job diversity that can absorb an income shock.
Housing Leverage: 16/100
How leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income.

Where this score comes from

Every ProofIndex pillar uses published statistics. Review the sources behind this area's score, when each was released, and its known limitations.

Employment Vulnerability: MPSV — Ministry of Labour and Social Affairs
Labour market portal indicators · Derived · District · vintage Apr 2026. Official labor-market signal; when used for occupation mix it acts as an adjustment factor rather than direct occupation data.
Income Concentration: MPSV + ProofIndex model
Derived labor-market adjustment · Derived · District · vintage Apr 2026. District values are derived from official labor-market tightness and unemployment rather than direct occupation microdata.
Housing Leverage: MPSV + Valuo + ProofIndex model
Derived district housing and vacancy signal · Derived · District · vintage Apr 2026. District housing values combine market property prices with official MPSV unemployment and job-vacancy tightness; vacancy pressure is a labor-market-derived proxy, not direct rental vacancy microdata.
Rental Market Exposure: MPSV + Valuo + ProofIndex model
Derived district housing and vacancy signal · Derived · District · vintage Apr 2026. District housing values combine market property prices with official MPSV unemployment and job-vacancy tightness; vacancy pressure is a labor-market-derived proxy, not direct rental vacancy microdata.
Resilience Factors: MPSV + ProofIndex model
Derived labor-market adjustment · Derived · District · vintage Apr 2026. District values are derived from official labor-market tightness and unemployment rather than direct occupation microdata.

Frequently asked questions

Is Cheb at risk from AI job losses?

ProofIndex does not forecast job losses. It measures how exposed local incomes are: a higher score means more of the local wage base comes from work that AI is changing. On that measure, Cheb ranks among the more exposed Czech Republic markets. It scores 61/100 (High Risk) overall, and 92/100 on employment vulnerability, which measures how much local work overlaps with tasks AI can already do.

How exposed is the Cheb housing market to AI automation?

Cheb scores 61/100 (High Risk) on ProofIndex, which blends how exposed local incomes are to AI with how leveraged the local housing market is. The largest contributor is employment vulnerability at 92/100. This measures how exposed local jobs are to AI automation, based on the area’s occupation mix. Housing leverage scores 16/100, based on loan-to-value, debt-to-income, and price-to-income among local borrowers. Local resilience scores 58/100. Savings, benefits, and job diversity reduce the final score. Scores are normalized 0–100 within Czech Republic, so this compares Cheb with other Czech Republic markets. It cannot be compared directly with markets abroad.

Why is Cheb rated High Risk?

High Risk is the risk tier ProofIndex assigns to a composite score of 61/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Cheb the risk pillars rank employment vulnerability 92/100, income concentration 73/100, housing leverage 16/100. Confidence in the underlying data for this area is medium.

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