Not assessed
unknown
sources: BLS OES (approx) · O*NET
0 sources
15 core tasks shown
Cooks, Fast Food High exposure: 0 of 15 core tasks show high task automation potential : exposure 50/100 (not assessed).
No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.
Score breakdown
Why this score?
Every component is stored with the score row and can be recomputed from the evidence table.
Methodology - · score - · input hash -
Strength of current models on the capabilities this job's tasks require.
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Evidence that AI is actually being used for this work.
Observed changes in postings, employment or earnings.
Quantity and source quality of the evidence behind the score.
0 evidence item(s) contribute. Calculated -.
Overview
Prepare and cook food in a fast food restaurant with a limited menu. Duties of these cooks are limited to preparation of a few basic items and normally involve operating large-volume single-purpose cooking equipment.
Employment
-
approx. BLS OES
Median wage
-
approx. BLS OES
Tasks tracked
15
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Tasks
Task-level automation exposure
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
core task · importance 4.7/5
core task · importance 4.7/5
core task · importance 4.7/5
core task · importance 4.7/5
core task · importance 4.6/5
core task · importance 4.6/5
core task · importance 4.6/5
core task · importance 4.6/5
core task · importance 4.6/5
core task · importance 4.5/5
core task · importance 4.5/5
core task · importance 4.4/5
core task · importance 4.3/5
core task · importance 4.1/5
core task · importance 3.9/5
Evidence
Evidence trail
0 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.
Historical trend
Exposure over time
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
No series yet
This chart fills in once the first snapshot is recorded.
Reconstruction, not measurement. 0 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
Signals affecting this occupation
No events match this filter yet. New verified events appear here as analysis completes.
Related
Related Occupations
Occupations sharing major SOC group (35) with Cooks, Fast Food.
faq
Frequently Asked Questions
Common questions regarding Cooks, Fast Food and AI exposure.
Will AI replace Cooks, Fast Food?
Current AI models show an exposure score of 50/100 for Cooks, Fast Food. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.
Which tasks in Cooks, Fast Food have the highest AI exposure?
The most exposed tasks for Cooks, Fast Food include "Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according…" (50% exposure) and "Maintain sanitation, health, and safety standards in work areas." (50% exposure).
What aspects of Cooks, Fast Food can AI not do yet?
Tasks with the lowest AI exposure for Cooks, Fast Food include "Take out garbage." (50% exposure) and "Pre-cook items, such as bacon, to prepare them for later use." (50% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.