Elementary occupations · code 9411
Fast food preparers
Fast food preparers prepare and cook to order a limited range of foods or beverages that involve simple preparation processes and a small number of ingredients. They may take orders from customers and serve at counters or tables. Tasks include - (a) preparing simple or pre-prepared foods and beverages such as sandwiches, hamburgers, pizzas, fish and chips, salads and coffee; (b) washing, cutting, measuring and mixing foods for cooking; (c) operating large-volume single-process cooking equipment such as grills, deep-fat fryers or griddles; (d) re-heating pre-prepared food; (e) cleaning food preparation areas, cooking surfaces and utensils; (f) taking and serving food and beverage orders in eating places that specialize in fast service and carry-out food; (g) ordering and taking delivery of fast food ingredients; (h) maintaining sanitation, health and safety standards in work areas; (i) verifying that prepared food meets requirements for quality and quantity. Examples of the occupations classified here: - Fast food cook - Hamburger maker - Pizza maker - Short order cook Some related occupations classified elsewhere: - Chef - 3434 - Cook - 5120 - Food service counter attendant - 5246 Note Jobs that combine preparation of simple food items with taking orders, serving clients and calculating or receiving payment should be classified in Unit Group 5246: Food Service Counter Attendants, unless client service is an incidental component of the work.
None of this job's tasks scored high enough to count. It ranks 123 of 427 for holding up against AI.
Also known as
- pizzaiolo
- quick service restaurant crew member
Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.
against AI Not Exposed
AI could take on 18.3 of 100, on average
so it holds up at 100 − 18.3 = 81.7
That's the whole sum, and you can check it against the ILO's study.
out of 100
From O*NET, averaged across 2 US jobs
and cramped
finger skill 34.9 · hand skill 41.1 · cramped spaces 29.3 · averaged
Kind of hands-on work · hands-on under 50 Less than half hands-on
Less than half of this job is hands-on. Robots still matter, but for a smaller part of the work, so we don't sort it any further.
estimated O*NET 31.0 BLS occupational crosswalk chain ISCO-08 to 2010 SOC (Aug 2012, rev. Jun 2015); 2010 to 2018 SOC (Nov 2017); O*NET-SOC 2019 taxonomy data 0.7-work-setting measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement
What this number leaves out This job rates 41.5 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, but for work this far from the physical that matters less.
The tasks behind the score
The score is the average of these. A job is really a bundle of tasks, and an average can hide how uneven that bundle is.
The task AI could do most of scores 25, while the average is 18.3. A big gap means some of this job is wide open to AI and some of it barely at all. That's quite different from a job where everything sits somewhere in the middle, even when the averages match.
- 25
Taking and serving food and beverage orders in eating places that specialize in fast service and carry-out food
Low - 23.5
Ordering and taking delivery of fast food ingredients
Very Low - 22.5
Maintaining sanitation, health, and safety standards in work areas
Very Low - 20.5
Verifying that prepared food meets requirements for quality and quantity.
Very Low - 17
Operating large-volume single-process cooking equipment such as grills, deep-fat fryers or griddles
Very Low - 15.5
Preparing simple or pre-prepared foods and beverages such as sandwiches, hamburgers, pizzas, fish and chips, salads and coffee
Very Low - 14.5
Washing, cutting, measuring and mixing foods for cooking
Very Low - 13.5
Cleaning food preparation areas, cooking surfaces and utensils
Very Low - 12.8
Re-heating pre-prepared food
Very Low
9 tasks · the High to Very Low labels are the ILO's
from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.7-work-setting
Helped, or replaced?
The score above can't tell a tool that makes you faster from one that does the task instead of you. Jobs and Skills Australia looked at those two things separately, and this is their result, matched to this job.
One Australian job matches this one closely, so this is about as reliable as it gets here.
- AI helps you
- 56
- AI does it for you
- 27
Helping wins by 29 points.
estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 8511
Compared with similar jobs
There are 33 jobs in the “Elementary occupations” group, averaging 85.1. This one is below that.
- Vehicle cleaners 91.1
- Water and firewood collectors 91.1
- Crop farm labourers 90.9
- Garbage and recycling collectors 90.8
- Civil engineering labourers 90.7
- Forestry labourers 90.6
- Building construction labourers 90.6
- Sweepers and related labourers 90.6
- Other cleaning workers 89.8
- Mining and quarrying labourers 89.1
- Odd job persons 89
- Window cleaners 88.9
- Fishery and aquaculture labourers 88.9
- Mixed crop and livestock farm laboure… 88.7
- Garden and horticultural labourers 88.4
- Cleaners and helpers in offices, hote… 88.1
- Livestock farm labourers 88.1
- Manufacturing labourers not elsewhere… 88
- Kitchen helpers 87
- Drivers of animal-drawn vehicles and … 86.8
- Freight handlers 85.9
- Domestic cleaners and helpers 85.7
- Hand launderers and pressers 85.6
- Street and related service workers 82.1
- Refuse sorters 81.9
- Hand packers 80.2
- Shelf fillers 79.5
- Street vendors (excluding food) 79.5