CLANKED

Breckland, UK · POP — · EMP 65,637 · DATA GRADE B

Breckland, UK

29.6 /100

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

#118 of 125

more exposed than 6% 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]
Sales Assistants and Retail Cashiers 3,355
37.5
Other Administrative Occupations 1,549
58.9
Caring Personal Services 3,882
20.6
Secretarial and Related Occupations 1,337
53.1
Road Transport Drivers 2,675
24.3
Production Managers and Directors 1,734
36
Sales, Marketing and Related Associate Professionals 1,249
47.3
Functional Managers and Directors 1,431
41.1
Administrative Occupations: Finance 1,045
53.6
Managers and Directors in Retail and Wholesale 1,123
43.1

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