CLANKED

Newport, UK · POP — · EMP 72,786 · DATA GRADE B

Newport, UK

31.9 /100

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

#66 of 125

more exposed than 48% 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 4,003
37.5
Other Administrative Occupations 1,725
58.9
Customer Service Occupations 1,619
50.3
Caring Personal Services 3,727
20.6
Functional Managers and Directors 1,855
41.1
Information Technology Professionals 1,479
51.2
Road Transport Drivers 3,031
24.3
Administrative Occupations: Finance 1,369
53.6
Administrative Occupations: Government and Related Organisations 1,335
52.1
Sales, Marketing and Related Associate Professionals 1,459
47.3

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