Craft and related trades workers · code 7512
Bakers, pastry-cooks and confectionery makers
Bakers, pastry-cooks and confectionery makers make various kinds of bread, cakes, and other flour products, as well as handmade chocolate and sugar confectionery. Tasks include - (a) making bread, cakes, biscuits, pastries, pies and other flour products; (b) making handmade confectionery from mixtures of sugar, chocolate and other ingredients, using hand tools and some machines; (c) combining measured ingredients in bowls of mixing, blending or cooking machinery; (d) checking the quality of raw materials to ensure that standards and specifications are met; (e) applying glazes, icings or other toppings to baked goods, using spatulas or brushes; (f) checking the cleanliness of equipment and operation of premises before production runs to ensure compliance with occupational health and safety regulations; (g) monitoring oven temperatures and product appearance to determine baking times; (h) coordinating the forming, loading, baking, unloading, de-panning and cooling of batches of bread, rolls, pastry and confectionery products. Examples of the occupations classified here: - Baker - Chocolate maker - Confectioner - Pastry-cook Some related occupations classified elsewhere: - Cook - 5120 - Bakery products machine operator - 8160 - Bread production machine operator - 8160 - Chocolate production machine operator - 8160
None of this job's tasks scored high enough to count. It ranks 93 of 427 for holding up against AI.
Also known as
- pastry maker
- pasta maker
- confectioner
- baker
- chocolatier
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 16.9 of 100, on average
so it holds up at 100 − 16.9 = 83.1
That's the whole sum, and you can check it against the ILO's study.
out of 100
From O*NET, matched to one US job
and cramped
finger skill 41.1 · hand skill 42.9 · cramped spaces 24.3 · averaged
Kind of hands-on work · hands-on 50+ · fiddly under 39.4 Hands-on, less fiddly work
Less fine handwork and fewer cramped spaces than a typical hands-on job. That clears one hurdle for machines. It doesn't mean machines are doing this work yet.
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
This number is probably too high
This score only looks at AI tools like chatbots. It doesn't look at robots at all — and this job rates 53.8 out of 100 for how hands-on it is, which is exactly where robots come in.
Have a look at the tasks below and judge for yourself. The ILO scored them low because a chatbot can't do them. Whether a machine with hands could is a different question, and we can't answer it yet.
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 35.3, while the average is 16.9. 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.
- 35.3
Checking the quality of raw materials to ensure that standards and specifications are met
Low - 18.5
Checking the cleanliness of equipment and operation of premises before production runs to ensure compliance with occupational health and safety regulations
Very Low - 16.5
Making handmade confectionery from mixtures of sugar, chocolate and other ingredients using hand tools and some machines
Very Low - 14
Making bread, cakes, biscuits, pastries, pies and other flour products
Very Low - 13.5
Combining measured ingredients in bowls of mixing, blending or cooking machinery
Very Low - 13
Coordinating the forming, loading, baking, unloading, de-panning and cooling of batches of bread, rolls, pastry and confectionary products.
Very Low - 12.5
Monitoring oven temperatures and product appearance to determine baking times
Very Low - 12
Applying glazes, icings or other toppings to baked goods, using spatulas or brushes
Very Low
8 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.
2 Australian jobs match this one, and we've simply averaged them. Treat the numbers as a rough guide.
- AI helps you
- 54
- AI does it for you
- 22
Helping wins by 32 points.
estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 3511, 8311
Compared with similar jobs
There are 65 jobs in the “Craft and related trades workers” group, averaging 83.5. This one is below that.
- Bricklayers and related workers 91.1
- Building structure cleaners 90.8
- Building frame and related trades wor… 90.6
- Floor layers and tile setters 89.8
- Concrete placers, concrete finishers … 89.6
- Stonemasons, stone cutters, splitters… 89.1
- Pelt dressers, tanners and fellmongers 89
- Structural-metal preparers and erecto… 88.9
- Plasterers 88.6
- Spray painters and varnishers 88.1
- Shotfirers and blasters 88
- Sewing, embroidery and related workers 87.8
- Butchers, fishmongers and related foo… 87.5
- Roofers 87.4
- Painters and related workers 87.4
- Riggers and cable splicers 87.4
- Insulation workers 87.3
- Carpenters and joiners 87
- Welders and flamecutters 87
- Bicycle and related repairers 86.9
- Handicraft workers in textile, leathe… 86.7
- Fumigators and other pest and weed co… 86.7
- Metal moulders and coremakers 86.6
- Handicraft workers in wood, basketry … 86.4
- House builders 86.3
- Glaziers 86.3
- Musical instrument makers and tuners 86
- Tobacco preparers and tobacco product… 85.6