UK AI Job-Risk Index · SOC 2010 1251

Ranks #127 of 293 for AI exposure (1 = most exposed)

How exposed to AI are property, housing and estate managers?

61/100

AI exposure score (percentile across all 365 occupations DfE scored)

High

#127

of 293 UK occupations (1 = most exposed)

£38,821

median full-time pay (ONS ASHE 2020) · 115,000 employee jobs

Property, housing and estate managers sits in the high exposure band: its abilities overlap with current AI applications more than about 61% of the 365 UK occupations the Department for Education scored. High exposure usually means AI can help with many of the tasks involved, such as drafting, analysis or information handling. That can change how the job is done, but it is not a forecast that the job will disappear.

Underlying scores: AIOE (all AI) 0.56, LLM exposure 0.64 (standardised; 0 is the average occupation). Skill level: Level 3. Pay and job counts are 2020 figures, so use them to compare occupations rather than as current salaries.

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Job titles in this occupation

Titles the ONS SOC 2010 coding index places in unit group 1251. If your job title is here, this page uses the right figures for you.

landowner · land owner · auction owner · estate manager · estate officer · market manager · property owner · auction manager · estates manager · estates officer · housing manager · markets manager · housing director · lettings manager · premises manager · property manager · resident manager · property investor · property landlord · caretaking manager · facilities manager · head of facilities · property developer · relocation manager · neighbourhood manager · head of facilities management

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Lower-risk related jobs

Occupations in the same SOC 2010 sub-major group with a lower AI exposure score, highest-paid first. Pay difference is against £38,821 (ONS ASHE 2020 median, full-time). Switching usually needs retraining; this is a starting point, not advice.

OccupationExposureMedian payDifference
Leisure and sports managers56/100£32,827−£5,994
Managers and proprietors in agriculture and horticulture51/100£32,514−£6,307
Managers and proprietors in other services n.e.c.61/100£32,302−£6,519
Hotel and accommodation managers and proprietors56/100£32,000−£6,821
Restaurant and catering establishment managers and proprietors45/100£25,015−£13,806

Compare these side by side →

Occupations with similar exposure

← #126 Special needs education teaching professionals · #128 Managers and proprietors in other services n.e.c. →

FAQ: Property, housing and estate managers and AI

Will AI replace property, housing and estate managers?

The index does not predict job losses. Property, housing and estate managers has an AI exposure score of 61/100 (high band), ranking #127 of 293 UK occupations, where 1 is the most exposed. High exposure means AI can help with many of the tasks involved, which usually changes how the job is done.

How does this compare with similar jobs?

Property, housing and estate managers is one of 8 occupations in its SOC 2010 sub-major group in the index; 2 of the others are more exposed to AI.

How much do property, housing and estate managers earn?

Median gross annual pay for full-time employees was £38,821 in ONS ASHE 2020 (Table 14), across about 115,000 employee jobs. These are 2020 figures, so use them to compare jobs rather than as current salaries.

Which related jobs are less exposed to AI?

In the same sub-major group, lower-exposure occupations include Leisure and sports managers (56/100, £32,827), Managers and proprietors in agriculture and horticulture (51/100, £32,514), Managers and proprietors in other services n.e.c. (61/100, £32,302).

Where does this data come from?

AI exposure uses Department for Education (2023) AI Occupational Exposure (AIOE) scores; pay and job counts come from ONS ASHE 2020. Job titles come from the ONS SOC 2010 coding index.

Source: Department for Education (2023), The impact of AI on UK jobs and training (AIOE scores); ONS ASHE 2020 Table 14; job titles from the ONS SOC 2010 coding index (v7). Exposure is not a prediction of job loss. Methodology · Embed this data

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