Columbus, IN · POP 85,729 · EMP 49,820 · DATA GRADE B
Columbus, IN
consensus exposure · range [44.6–49.1] across 6 methodologies
more exposed than 34% of US metros
By methodology
| Index | Exposure |
|---|---|
| OpenAI task exposure (Eloundou et al. 2024) | 46.6 |
| Felten language-modeling AIOE (2023) | 44.6 |
| Microsoft AI applicability (2025) | 48.0 |
| Anthropic Economic Index observed usage (2026) | 45.4 |
| Eisfeldt et al. generative-AI exposure (2024) | 49.1 |
| Consensus (mean) | 46.7 |
Table 1. Where indices disagree, that disagreement is information: prediction-style indices (task ratings) and usage-based indices (observed AI conversations) measure different things. Methods §2.
Secondary measures
payroll-weighted exposure — higher than the headcount number: the exposed jobs are the better-paid ones
of workers are in occupations where ≥50% of tasks are LLM-exposed (Eloundou β; threshold-sensitive — note)
of area employment matched to scored occupations (grade B)
Scenario: if replacement-level AI arrives in 2030
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
| Occupation | Jobs | Median wage | Exposure [range] | |
|---|---|---|---|---|
| Retail Salespersons | 1,500 | $29,840 | 67 | |
| Miscellaneous Assemblers and Fabricators | 2,980 | $46,950 | 31.5 | |
| Mechanical Engineers | 1,000 | $127,700 | 69.5 | |
| Office Clerks, General | 790 | $45,620 | 82.2 | |
| Industrial Engineers | 910 | $97,480 | 69.4 | |
| Customer Service Representatives | 600 | $42,700 | 91.1 | |
| Cashiers | 900 | $29,280 | 54.8 | |
| Machinists | 1,470 | $61,230 | 28.7 | |
| Inspectors, Testers, Sorters, Samplers, and Weighers | 900 | $49,030 | 46.6 | |
| Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products | 450 | $65,630 | 88.3 |
Table 2. Ranked by exposure × local employment. Bands on the 0–100 occupation scale.
Compare Columbus against any other metro — side by side.