AI Income Risk · Real Estate

Frýdek-Místek

ProofIndex score 58/100 (Moderate Risk) · medium confidence

ProofIndex score: 58/100 — Moderate Risk risk.

Scoring period 2026-Q2 · medium data confidence

Frýdek-Místek (Czech Republic) shows moderate exposure in ProofIndex’s scoring, with a ProofIndex score of 58/100 (Moderate 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

Resilience Factors — 88/100
Local economic buffers such as savings, benefits, and job diversity that can absorb an income shock.
Employment Vulnerability — 82/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Income Concentration — 66/100
How concentrated local income is in higher-paid, AI-exposed work.
Housing Leverage — 44/100
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 + 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.
Rental Market Exposure — 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.
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 Frýdek-Místek at risk from AI job losses?

Frýdek-Místek has moderate exposure and sits near the middle of the covered Czech Republic markets. It scores 58/100 (Moderate Risk) overall, and 82/100 on employment vulnerability, which measures how much local work overlaps with tasks 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 comes from work that AI is changing.

How exposed is the Frýdek-Místek housing market to AI automation?

Frýdek-Místek scores 58/100 (Moderate 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 82/100. This measures how exposed local jobs are to AI automation, based on the area’s occupation mix. Housing leverage scores 44/100, based on loan-to-value, debt-to-income, and price-to-income among local borrowers. Local resilience scores 88/100. Savings, benefits, and job diversity reduce the final score. Scores are normalized 0–100 within Czech Republic, so this compares Frýdek-Místek with other Czech Republic markets. It cannot be compared directly with markets abroad.

Why is Frýdek-Místek rated Moderate Risk?

Moderate Risk is the risk tier ProofIndex assigns to a composite score of 58/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Frýdek-Místek the risk pillars rank employment vulnerability 82/100, income concentration 66/100, housing leverage 44/100. Confidence in the underlying data for this area is medium.

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