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AI exposure Production

Will AI replace adhesive bonding machine operators and tenders?

Adhesive Bonding Machine Operators and Tenders. US occupation 51-9191.

The reading

0.0%

of the time adhesive bonding machine operators and tenders spend on their work goes on tasks where AI is already being used to do that work.of adhesive bonding machine operators and tenders' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for adhesive bonding machine operators and tendersWhat adhesive bonding machine operators and tenders no longer do alone

O*NET lists 16 tasks for adhesive bonding machine operators and tenders. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

16 of the 16 tasks show no AI use at work in the data.

  • Adjust machine components according to specifications such as widths, lengths, and thickness of materials and amounts of glue, cement, or adhesive required.Core task
  • Align and position materials being joined to ensure accurate application of adhesive or heat sealing.Core task
  • Examine and measure completed materials or products to verify conformance to specifications, using measuring devices such as tape measures, gauges, or calipers.Core task
  • Fill machines with glue, cement, or adhesives.Core task
  • Maintain production records such as quantities, dimensions, and thicknesses of materials processed.Core task
  • Monitor machine operations to detect malfunctions and report or resolve problems.Core task
Show the other 10
  • Mount or load material such as paper, plastic, wood, or rubber in feeding mechanisms of cementing or gluing machines.Core task
  • Observe gauges, meters, and control panels to obtain information about equipment temperatures and pressures, or the speed of feeders or conveyors.Core task
  • Perform test production runs and make adjustments as necessary to ensure that completed products meet standards and specifications.Core task
  • Read work orders and communicate with coworkers to determine machine and equipment settings and adjustments and supply and product specifications.Core task
  • Remove and stack completed materials or products, and restock materials to be joined.Core task
  • Remove jammed materials from machines and readjust components as necessary to resume normal operations.Core task
  • Start machines, and turn valves or move controls to feed, admit, apply, or transfer materials and adhesives, and to adjust temperature, pressure, and time settings.Core task
  • Transport materials, supplies, and finished products between storage and work areas, using forklifts.Core task
  • Clean and maintain gluing and cementing machines, using solutions, lubricants, brushes, and scrapers.
  • Measure and mix ingredients to prepare glue.

How that compares

Among the 98 production occupations, adhesive bonding machine operators and tenders rank 19. The group averages 0.8%, and its most exposed job is Computer Numerically Controlled Tool Programmers at 12.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Just above in the ranking

  1. 343Special Education Teachers, Preschool 0.6%
  2. 345Surveyors 0.2%
  3. 346Acupuncturists 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.