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North Northamptonshire, UK · POP — · EMP 178,852 · DATA GRADE B

North Northamptonshire, UK

30.6 /100

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

#107 of 125

more exposed than 15% 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 8,445
37.5
Other Administrative Occupations 4,944
58.9
Sales, Marketing and Related Associate Professionals 4,719
47.3
Functional Managers and Directors 4,941
41.1
Road Transport Drivers 7,886
24.3
Caring Personal Services 8,910
20.6
Administrative Occupations: Finance 3,273
53.6
Information Technology Professionals 3,274
51.2
Production Managers and Directors 4,613
36
Secretarial and Related Occupations 3,062
53.1

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