Will AI replace Adhesive Bonding Machine Operators and Tenders?
Estimated risk score: 17 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 36).
For the occupation as a whole, from ratings of its 17 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-9191.00 · 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: 1 of its 17 rated tasks. In O*NET’s words.
- Maintain production records such as quantities, dimensions, and thicknesses of materials processed.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 16 of its 17 rated tasks; the first 6 are shown. In O*NET’s words.
- Adjust machine components according to specifications such as widths, lengths, and thickness of materials and amounts of glue, cement, or adhesive required.
- Align and position materials being joined to ensure accurate application of adhesive or heat sealing.
- Fill machines with glue, cement, or adhesives.
- Mount or load material such as paper, plastic, wood, or rubber in feeding mechanisms of cementing or gluing machines.
- Perform test production runs and make adjustments as necessary to ensure that completed products meet standards and specifications.
- Remove and stack completed materials or products, and restock materials to be joined.
What the job is
Operate or tend bonding machines that use adhesives to join items for further processing or to form a completed product. Processes include joining veneer sheets into plywood; gluing paper; or joining rubber and rubberized fabric parts, plastic, simulated leather, or other materials.
Also called: Glue Line Operator, Gluer, Gummer, Tipper, Band Edger, Edge Gluer, Ply Bander, Ski Topper.
Related jobs, estimated
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