UK AI JobsExpected · in use · happened
All regions
Region · #2 of 12 for Jevons exposure

South East.

3.9M workers, 15.9% of the UK total. Weighted AI exposure 4.91/10, demand elasticity 5.39/10, projected 2035 outlook +3%. 47.8% female. SOC-joined from soc_regional × soc_gender × elasticity.json.

Jevons cohort
19.0%
746.5K workers · UK avg 15.3%
Anti-Jevons cohort
20.3%
#5 of 12 · UK avg 19.7%
Women at risk
335.1K
17.8% of regional female workforce in exp≥7 + elast≤4
Avg pay
£34,644
Workforce-weighted across 20+ roles
Exposure / Elasticity
4.91 / 5.39
Higher exposure × lower elasticity ⟹ at-risk
Zone composition

Where the South East workforce lives in the AI split.

Total 3.9M workers
Grows with AI
20.7% · 812.0K
Hands-on, growing
13.3% · 524.2K
Could go either way
9.1% · 357.8K
Mixed signals
32.8% · 1.3M
Shrinks with AI
20.3% · 798.1K
Barely exposed
3.8% · 148.6K
Largest occupations

The 20 roles that anchor South East's workforce.

#RoleOutlook
1Bank manager
Business & Finance
-6%
2Admin assistant
Administration
-15%
3Cleaner
Home Services
+10%
4Customer service assistant
Retail & Sales
-10%
5Sales assistant
Retail & Sales
-1%
6Primary school teacher
Teaching & Education
-2%
7Communication support worker
Teaching & Education
-1%
8Network manager
Computing & Digital
+10%
9Business project manager
Business & Finance
+10%
10Retail manager
Retail & Sales
-4%
11Waiter
Hospitality & Food
+3%
12PE teacher
Sports & Leisure
-3%
13Secondary school teacher
Teaching & Education
-3%
14Civil Service manager
Government Services
-6%
15Estates officer
Administration
-1%
16Delivery van driver
Delivery & Storage
+5%
17Care worker
Home Services
+7%
18Palliative care assistant
Social Care
+7%
19Residential support worker
Social Care
+7%
20Higher education lecturer
Teaching & Education
-2%
Gender × zone cross-section

335.1K women in South East work in AI-exposed, demand-capped roles.

That is 17.8% of the region's female workforce in roles where exposure ≥ 7 and elasticity ≤ 4, the Anti-Jevons threshold. The region is 47.8% female overall, but the admin / clerical / customer-service pipelines that dominate this zone are historically female-led, so the zone itself skews that way.