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East Suffolk, UK · POP — · EMP 106,376 · DATA GRADE B

East Suffolk, UK

31 /100

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

#89 of 125

more exposed than 30% 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 5,696
37.5
Other Administrative Occupations 2,667
58.9
Caring Personal Services 6,525
20.6
Secretarial and Related Occupations 2,216
53.1
Functional Managers and Directors 2,754
41.1
Information Technology Professionals 2,004
51.2
Administrative Occupations: Finance 1,877
53.6
Teaching and other Educational Professionals 3,249
30.1
Sales, Marketing and Related Associate Professionals 2,000
47.3
Production Managers and Directors 2,505
36

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