Plant and machine operators, and assemblers · code 8181

Glass and ceramics plant operators

A camera can spot the crack. Running the furnace still takes experience.

Spotting cracks and other flaws in the finished product is mostly out of AI's reach. It barely touches twelve of the thirteen tasks, including running glass plants and preparing clay.

What they actually do (and what else they get called)

Glass and ceramics plant operators monitor and operate kilns, furnaces and other machinery and equipment used in the manufacture of glass, ceramics, porcelain, tiles or bricks. They operate machines to anneal, harden or decorate glass and ceramics. Tasks include - (a) operating and monitoring glass-making furnaces to make glass by melting and fusing pre-mixed ingredients; (b) tending hot- or cold-end spray equipment used to coat glassware with surface hardener; (c) operating and maintaining machines that press or blow molten glass into moulds to form or shape containers such as bottles, jars and drinking glasses; (d) operating hand presses to mould glass into required shape; (e) operating drawing kilns to process molten glass into continuous sheets of flat glass; (f) operating and monitoring floating-glass production plants; (g) operating and maintaining finishing machines to grind, drill, sand, bevel, decorate, wash or polish glass or glass products; (h) setting and operating press machines to mould ceramic articles from moist clay; (i) operating machines to mix clay with water to knead it into a suitable plastic condition or semi-liquid form for making ceramic products; (j) operating and monitoring kilns which bake pottery, porcelain ware, bricks and tiles; (k) operating and monitoring machines for making glaze or abrasives; (l) operating and monitoring machines which extrude molten glass to form fibreglass filaments; (m) observing finished products to identify splits, cracks, breaks, colour and other imperfections. Examples of the occupations classified here: - Brick kiln operator - Ceramics painting machine operator - Clay mixing machine operato3 - Extruding clay press operator - Furnace operator (glass production) - Glass blowing machine operator - Glass mixing machine operator - Glass production furnace operator - Pottery kiln operator - Tile kiln operator Some related occupations classified elsewhere: - Brick and tile moulder - 7314 - Glass blower - 7315 - Glass cutter - 7315

glass polisher
fibre machine tender
dry press operator
drawing kiln operator
clay kiln burner
glass annealer
pottery and porcelain caster
auger press operator
kiln firer
brick and tile caster
glass forming machine operator

Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.

83 / 100

Strongly holds up against AI

Most of this job still needs an actual human. AI would mostly be making the tea.

Not the odds you keep your job. It's how much of the everyday work still needs a person, out of 100.

← Robot's turf Human's turf →

The ILO's official verdict: Not Exposed

103 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 13 tasks for how much of it AI could do. They average 17.4 out of 100, so it holds up at 100 − 17.4 = 82.6.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Not Exposed”: None of this job's tasks scored high enough to count.

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Pinch of salt: this number is probably too rosy

It only asks what AI software could do, and this job is 71 out of 100 hands-on. A chatbot can't do that part. A robot might, one day, and nobody measures how close that is.

Man v Bot · compare

Who holds up better?

Glass and ceramics plant operators 83

Go on, try your partner's job. Or your sibling's. We won't tell.

Man v Bot

Where the bot helps, and where the human wins

Bot

What AI takes

The routine stuff. You may not miss it.

Automated inspection for cracks and flaws.
Furnace and kiln control systems.
Production records.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

Running furnaces and kilns safely.
Adjusting processes when things go wrong.
Maintaining machinery.

Both

What's arriving

New work that only exists because the AI does.

Supervising camera inspection systems.
Lower-energy furnaces.
Recycled glass production.

Written by a human, from the ILO's task ratings below. Yes, we see the irony. Read it as one person's take.

Meet your two rivals

They're not the same machine. AI software can only reach the parts of a job done on a screen or in words. A chatbot can't climb a ladder. A robot might, one day, if it doesn't fall off.

The AI

Lives in a screen. Never had to fix a boiler.

Threat level: Low

23 could do without you

It could take over very little of the work on its own. It could help with 56 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Higher

71 how hands-on

Most of this job needs hands, a body or turning up. That's robot territory, and nobody measures how far robots have got well enough to give you a number. We won't make one up.

So could a robot do the physical part?

More fine handwork, and more time in cramped or awkward spots, than a typical hands-on job. That is exactly what machines find hardest: they do best in tidy, predictable places.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 41 out of 100. The higher it is, the longer the robot waits.

71 How
hands-on

41 How fiddly
and cramped

Kind of hands-on work Hands-on, fiddly work in tight spaces

The small print

They aren't a robot score, and nothing on this page is. Nobody measures how far robots have got well enough to put a number on it. These are the closest thing we have: how hands-on the job is, and how much fiddly, cramped work it takes, which is what Frey and Osborne found hardest for machines.

From O*NET, averaged across 9 US jobs , so treat it as rough.

finger skill 44.9 · hand skill 44.9 · cramped spaces 33.4 · averaged · rule: hands-on 50+ · fiddly 39.4+

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 0.8-observed-use measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

The job, task by task

Every job is really a bundle of tasks. Here's this one unpacked, with how much of each AI could do, out of 100. The score is the average, and averages can hide a lot.

AI's favourite task here scores 35, against an average of 17. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

35
Observing finished products to identify splits, cracks, breaks, colour and other imperfections.

Low
22
Operating and monitoring floating-glass production plant

Very Low
18
Operating and monitoring glass-making furnaces to make glass by melting and fusing pre-mixed ingredients

Very Low
17
Operating drawing kiln to process molten glass into continuous sheet of flat glass

Very Low
17
Operating and monitoring machines for making glaze or abrasives

Very Low
17
Operating and monitoring machines which extrude molten glass to form fibreglass filaments

Very Low
17
Operating and monitoring kilns which bake pottery, porcelain ware bricks and tiles

Very Low
15
Operating and maintaining finishing machines to grind, drill, sand, bevel, decorate, wash or polish glass or glass products

Very Low
15
Tending hot- or cold-end spray equipment used to coat glassware with surface hardener

Very Low
15
Operating and maintaining machines that press or blow molten glass in moulds to form or shape containers, such as bottles, jars and drinking glasses

Very Low
14
Setting and operating press machines to mould ceramic articles from moist clay

Very Low
13
Operating machines to mix clay with water to knead it into a suitable plastic condition or semi-liquid form for making ceramic products

Very Low
13
Operating hand press to mould glass into required shape

Very Low

13 tasks · the High to Very Low labels are the ILO's

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Sidekick or replacement?

A tool that makes you faster is a very different thing from one that does the task while you watch. Jobs and Skills Australia measured the two separately, which is handy.

AI helps you: 56
AI does it for you: 23

Sidekick wins, by 33 points.

How good a match is this?

One Australian job matches, but only partly: not everyone in it does this job. Treat the numbers as a rough guide.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 7111

So, should glass and ceramics operators be worried?

Short answer: not really. Put the kettle on.

Not about AI software. The most exposed task is inspecting products for flaws, rated Low; running furnaces, kilns and presses rates Very Low. Camera inspection is taking over some quality checks, so the job leans towards running and fixing the plant.

Worth remembering: we score tasks, not jobs. When AI takes on a task, the job usually reshuffles around it rather than vanishing.

Where this job could lead

None of the new jobs we've written up start from here yet. Could be you're the first. See the jobs AI is creating →

How are the neighbours doing?

There are 39 jobs in the “Plant and machine operators, and assemblers” family, averaging 80. This one is above the family average.

Pit this against any other job →