The Replaceability Index

Cooks, Fast Food

Prepare and cook food in a fast food restaurant with a limited menu using pre-planned recipes.

SOC 35-2011

AI exposure: 62/100

targeted 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
Cooks, Fast Food62$28,900+8%774,700

Skills associated with this occupation

  • Physical Stamina
  • Time Management
  • Coordination
  • Reliability
  • Communication

Frequently asked questions

Will AI replace Cooks, Fast Food?

The Index cannot predict whether AI will replace an individual Cooks, Fast Food role. Its 62/100 score is a relative estimate of task exposure, not a probability of job loss.

What does the exposure score mean?

The published value is 62/100, in the Targeted 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 $28,900 median annual wage and 8% 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
Gambling and Sports Book Writers and Runners62$28,850+3%13,300
Sewing Machine Operators62$33,180-5%119,800
Retail Salespersons62$33,920+0%3,682,400
Textile Bleaching and Dyeing Machine Operators and Tenders62$35,080-5%10,900
Cutters and Trimmers, Hand62$36,160-5%15,300
Laborers and Freight, Stock, and Material Movers62$36,500+4%2,696,500

Assess your own task mix · How occupation scores work · Browse the full index