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Cheshire West and Chester, UK · POP — · EMP 169,088 · DATA GRADE B

Cheshire West and Chester, UK

32.4 /100

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

#50 of 125

more exposed than 61% 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 8,916
37.5
Functional Managers and Directors 6,579
41.1
Sales, Marketing and Related Associate Professionals 4,818
47.3
Other Administrative Occupations 3,782
58.9
Information Technology Professionals 4,016
51.2
Administrative Occupations: Finance 3,375
53.6
Teaching and other Educational Professionals 5,796
30.1
Secretarial and Related Occupations 3,226
53.1
Caring Personal Services 7,746
20.6
Production Managers and Directors 4,238
36

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