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Regina, SK · POP — · EMP 121,450 · DATA GRADE A

Regina, SK

51.4 /100

exposure score (OpenAI task-exposure index via NOC crosswalk — single-index tier)

#15 of 41

more exposed than 66% of Canadian CMAs

Secondary measures

25.3%

of workers are in occupations where ≥50% of tasks are LLM-exposed (Eloundou β; threshold-sensitive — note)

97%

of area employment matched to scored occupations (grade A)

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]
Retail salespersons and visual merchandisers 4,475
61.7
Retail and wholesale trade managers 2,730
68.2
Administrative assistants 1,830
94.9
Administrative officers 1,885
82.9
Registered nurses and registered psychiatric nurses 3,080
43.3
Financial auditors and accountants 1,400
81.1
Information systems specialists 1,135
93.4
General office support workers 1,415
74.2
Elementary school and kindergarten teachers 2,165
46.9
Accounting and related clerks 1,085
86.6

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

Compare Regina against any other metro — side by side.