The Replaceability Index

Cashiers

Receive and disburse money in establishments other than financial institutions.

SOC 41-2011

AI exposure: 92/100

boss tier. The score is a relative index of task exposure from 0 to 100. It is not a percentage chance of losing a job or a forecast of layoffs. Individual tasks, employer choices, adoption, and regulation all matter.

Occupation data. Exposure is an index out of 100, not a probability.
OccupationExposure /100Median annual wageStored growth projectionEmployment
Cashiers92$30,710-10%3,336,300

Skills associated with this occupation

  • Customer Service
  • Mathematics
  • Communication
  • Attention to Detail
  • Speed

Frequently asked questions

Will AI replace Cashiers?

The Index cannot predict whether AI will replace an individual Cashiers role. Its 92/100 score is a relative estimate of task exposure, not a probability of job loss.

What does the exposure score mean?

The published value is 92/100, in the Boss band. Higher values indicate greater estimated exposure within the model. It is not a measured share of tasks or a government employment forecast.

What wage and growth figures are available?

The source profile lists $30,710 median annual wage and -10% projected growth, with no source projection window recorded. Check original source dates and local conditions before treating those as current opportunities.

Can my personal assessment differ?

Yes. A generated assessment can consider the tasks you describe; an occupation-based fallback uses a broader baseline. Both are estimates. A different result is not proof that your job has changed.

Sources and methodology

The score is a relative index of task exposure from 0 to 100. It is not a percentage chance of losing a job or a forecast of layoffs. Individual tasks, employer choices, adoption, and regulation all matter.

The Index uses stored BLS-based occupation data. O*NET, OECD capability indicators, and task-exposure research are contextual references. The derivation of the stored occupation scores is not reproducibly documented in the published dataset.

The source snapshot does not record the wage-survey year or employment-projection window. Check the original BLS release before treating these figures as current. Editorial changes and export dates do not establish data freshness.

Read the methodology and limitations

Related occupations

Occupation data. Exposure is an index out of 100, not a probability.
OccupationExposure /100Median annual wageStored growth projectionEmployment
Word Processors and Typists92$44,150-22%36,800
Data Entry Keyers96$37,790-22%162,700
Medical Transcriptionists88$37,930-6%48,300
Telephone Operators88$39,740-15%5,300
Meter Readers, Utilities88$46,380-15%22,500
Technical Writers94$91,670+0.9%57,600

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