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West Northamptonshire, UK · POP — · EMP 216,002 · DATA GRADE B

West Northamptonshire, UK

31.6 /100

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

#75 of 125

more exposed than 41% 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]
Other Administrative Occupations 5,872
58.9
Functional Managers and Directors 8,104
41.1
Sales Assistants and Retail Cashiers 8,580
37.5
Sales, Marketing and Related Associate Professionals 6,325
47.3
Information Technology Professionals 4,919
51.2
Administrative Occupations: Finance 4,466
53.6
Secretarial and Related Occupations 4,073
53.1
Caring Personal Services 9,809
20.6
Road Transport Drivers 7,969
24.3
Production Managers and Directors 5,290
36

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