AI Income Risk · Real Estate

Jihočeský kraj

ProofIndex score 54/100 (Moderate Risk) · medium confidence

ProofIndex score: 54/100 — Moderate Risk risk.

Scoring period 2026-Q2 · medium data confidence

Jihočeský kraj (Czech Republic) shows moderate exposure in ProofIndex’s scoring, with a ProofIndex score of 54/100 (Moderate Risk). The biggest contributor is housing leverage. This measures how leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income.

Key risk drivers

Housing Leverage — 67/100
How leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income.
Employment Vulnerability — 48/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Income Concentration — 44/100
How concentrated local income is in higher-paid, AI-exposed work.
Resilience Factors — 38/100
Local economic buffers such as savings, benefits, and job diversity that can absorb an income shock.

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 — ČSÚ — VŠPS
Labour Force Survey occupation mix · Official statistics · Regional · vintage 2024. Occupation mix is direct at regional level; smaller districts may inherit and adjust regional structure.
Income Concentration — ČSÚ — Czech Statistical Office
Czech statistical indicators · Official statistics · Regional / district · vintage 2024-2025. Official regional data; some district-level housing inputs are modelled from available market and labor indicators.
Housing Leverage — ČSÚ — Czech Statistical Office
Czech statistical indicators · Official statistics · Regional / district · vintage 2024-2025. Official regional data; some district-level housing inputs are modelled from available market and labor indicators.
Rental Market Exposure — ČSÚ — Czech Statistical Office
Czech statistical indicators · Official statistics · Regional / district · vintage 2024-2025. Official regional data; some district-level housing inputs are modelled from available market and labor indicators.
Resilience Factors — ČSÚ — Czech Statistical Office
Czech statistical indicators · Official statistics · Regional / district · vintage 2024-2025. Official regional data; some district-level housing inputs are modelled from available market and labor indicators.

Frequently asked questions

Is Jihočeský kraj at risk from AI job losses?

Jihočeský kraj has moderate exposure and sits near the middle of the covered Czech Republic markets. It scores 54/100 (Moderate Risk) overall, and 48/100 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 Jihočeský kraj housing market to AI automation?

Jihočeský kraj scores 54/100 (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 housing leverage at 67/100. This measures how leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income. Housing leverage scores 67/100, based on loan-to-value, debt-to-income, and price-to-income among local borrowers. Local resilience scores 38/100. Savings, benefits, and job diversity reduce the final score. Scores are normalized 0–100 within Czech Republic, so this compares Jihočeský kraj with other Czech Republic markets. It cannot be compared directly with markets abroad.

Why is Jihočeský kraj rated Moderate Risk?

Moderate Risk is the risk tier ProofIndex assigns to a composite score of 54/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Jihočeský kraj the risk pillars rank housing leverage 67/100, employment vulnerability 48/100, income concentration 44/100. Confidence in the underlying data for this area is medium.

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