Will AI replace Pressers, Textile, Garment, and Related Materials?
Estimated risk score: 6 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 25).
For the occupation as a whole, from ratings of its 28 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-6021.00 · Production
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 0 of its 28 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 27 of its 28 rated tasks; the first 6 are shown. In O*NET’s words.
- Activate and adjust machine controls to regulate temperature and pressure of rollers, ironing shoes, or plates, according to specifications.
- Block or shape knitted garments after cleaning.
- Clean and maintain pressing machines, using cleaning solutions and lubricants.
- Finish fancy garments such as evening gowns and costumes, using hand irons to produce high quality finishes.
- Finish pants, jackets, shirts, skirts and other dry-cleaned and laundered articles, using hand irons.
- Finish pleated garments, determining sizes of pleats from evidence of old pleats or from work orders, using machine presses or hand irons.
What the job is
Press or shape articles by hand or machine.
Also called: Pants Presser, Shirt Presser, Ironing Worker, Ironer, Boarder, Creaser, Fur Ironer, Hat Ironer.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate