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Plant and machine operators, and assemblers · code 8172

Wood processing plant operators

Wood processing plant operators monitor, operate and control lumber mill equipment for sawing timber logs into rough lumber, cutting veneer, making plywood and particle board, and otherwise preparing wood for further use. Tasks include - (a) examining logs and rough lumber to determine size, condition, quality and other characteristics to decide best lumber cuts to carry out, or operating automated equipment to convey logs through laser scanners which determine the most productive and profitable cutting patterns; (b) operating and monitoring log in-feed and conveyor systems; (c) operating and monitoring head saws, resaws and multiblade saws to saw logs, cants, flitches, slabs or wings and remove rough edges from sawn timber into dressed lumber of various sizes, and to saw or split shingles and shakes; (d) operating and monitoring plywood core-laying machines and hot-plate plywood presses and machines which cut veneer; (e) cleaning and lubricating sawmill equipment. Examples of the occupations classified here: - Circular saw operator - Log cut-off operator - Plywood press-operator - Sawmill operator - Sawmill planer operator - Sawmill trimmer operator - Wood processing plant sawyer - Veneer lathe operator Some related occupations classified elsewhere: - Timber treating tank operator - 7521 - Veneer dryer tender - 7521 - Wood working machine operator - 7523

None of this job's tasks scored high enough to count. It ranks 69 of 427 for holding up against AI.

Also known as

  • chipper operator
  • crosscut saw operator
  • engineered wood board machine operator
  • debarker operator
  • sawmill operator
  • wood fuel pelletiser

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

85.6
Holds up
against AI Not Exposed

AI could take on 14.4 of 100, on average
so it holds up at 100 − 14.4 = 85.6

That's the whole sum, and you can check it against the ILO's study.

69.9
How hands-on
out of 100

From O*NET, matched to one US job

41.9
How fiddly
and cramped

finger skill 44.6 · hand skill 42.9 · cramped spaces 38.2 · averaged

Kind of hands-on work · hands-on 50+ · fiddly 39.4+ Hands-on, fiddly work in tight spaces

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.

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 69.9 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 23, while the average is 14.4. 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.

  1. 23

    Operating and monitoring log in-feed and conveyor systems

    Very Low
  2. 15.5

    Operating and monitoring plywood core-laying machines and hot-plate plywood presses and machines which cut veneer

    Very Low
  3. 11.5

    Examining logs and rough lumber to determine size, condition, quality and other characteristics to decide best lumber cuts to carry out, or operating automated equipment to convey logs through laser scanners which determine the most productive and profitable cutting patterns

    Very Low
  4. 11.5

    Operating and monitoring head saws, resaws and multiblade saws to saw logs, cants, flitches, slabs or wings and remove rough edges from sawn timber into dressed lumber of various sizes, and saw or split shingles and shakes

    Very Low
  5. 10.5

    Cleaning and lubricating sawmill equipment.

    Very Low

5 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
54.5
AI does it for you
27.5

Helping wins by 27 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 7113, 7129

Compared with similar jobs

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