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Brighton and Hove, UK · POP — · EMP 139,290 · DATA GRADE B

Brighton and Hove, UK

33.9 /100

ILO GenAI exposure index via empirical SOC2020↔ISCO crosswalk · 3-digit data — own scale, not comparable with US/Canada

#21 of 125

more exposed than 84% of UK areas (England & Wales)

Secondary measures

Scenario: if replacement-level AI arrives in 2030

2027 2035

Figure 1. Modeled displacement under the median preset (diffusion k=0.8, ceiling 0.75, automation share 0.45, friction lag 1.5y, attrition 3%/y). Solid: positions eliminated. The gap between gross and layoffs is natural attrition — speed of diffusion, not depth of exposure, determines layoffs. This is a scenario, not a forecast: adjust every assumption.

Where the losses land — and your assumptions

Positions eliminated by 2035 per occupation group, under the arrival year selected above. Drag any multiplier if you think we're wrong about a group — your model, your numbers. Multipliers scale that group's task exposure (×0 = immune, ×2 = double).

Table 3. Group exposure = employment-weighted mean task exposure (Eloundou β over the group's local occupations). Bars use the same scenario engine as Figure 1 (median preset).

Most exposed local occupations

OccupationJobsMedian wageExposure [range]
Functional Managers and Directors 6,273
41.1
Information Technology Professionals 4,980
51.2
Sales Assistants and Retail Cashiers 6,013
37.5
Sales, Marketing and Related Associate Professionals 4,769
47.3
Teaching and other Educational Professionals 7,127
30.1
Artistic, Literary and Media Occupations 5,004
35.2
Other Administrative Occupations 2,586
58.9
Secretarial and Related Occupations 2,467
53.1
Caring Personal Services 6,125
20.6
Managers and Proprietors in Other Services 3,787
32.7

Table 2. Ranked by exposure × local employment. Bands on the 0–100 occupation scale.