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.
U.S. Workers
12,170
Median Salary
$45,210
10-Year Growth
+1.0%
Annual Openings
1,300
Typical entry: High school diploma or equivalent
17 of 17 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Align and position materials being joined to ensure accurate application of adhesive or heat sealing.
AI: Fully automatable - Machine vision and robotic positioning systems can align and position parts for adhesive bonding with high accuracy and are widely used in manufacturing.
Adjust machine components according to specifications such as widths, lengths, and thickness of materials and amounts of glue, cement, or adhesive required.
AI: Fully automatable - Adjusting machine components to specified widths, lengths, thicknesses and adhesive volumes is a parameterized control task that programmable automation and AI-driven setup systems can handle.
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.
AI: Fully automatable - Starting machines and adjusting valves, feeds, temperatures, pressures and timing are standard control actions that are routinely automated by control systems and AI supervisors.
Perform test production runs and make adjustments as necessary to ensure that completed products meet standards and specifications.
AI: Fully automatable - AI-enabled process control can run test production runs, analyze quality data, and adjust parameters in closed-loop fashion to meet specifications in many manufacturing contexts.
Examine and measure completed materials or products to verify conformance to specifications, using measuring devices such as tape measures, gauges, or calipers.
AI: Fully automatable - Automated metrology systems (machine vision, CMMs, sensor integration) can reliably measure and verify dimensions against specs without human intervention.
Read work orders and communicate with coworkers to determine machine and equipment settings and adjustments and supply and product specifications.
AI: Fully automatable - AI can parse digital work orders, suggest machine settings, and communicate instructions to coworkers via messaging or HMI integrations in a fully automated workflow.
Maintain production records such as quantities, dimensions, and thicknesses of materials processed.
AI: Fully automatable - Production logging (quantities, dimensions, thicknesses) is routine data capture and storage that AI/software systems can fully automate.
Observe gauges, meters, and control panels to obtain information about equipment temperatures and pressures, or the speed of feeders or conveyors.
AI: Fully automatable - Sensor networks and computer systems can continuously observe gauges, meters, and panels and extract temperatures, pressures, and speeds automatically.
Measure and mix ingredients to prepare glue.
AI: Fully automatable - Measuring and mixing adhesive ingredients is a formulaic, sensor-driven process that industrial dosing and control systems can fully automate under AI supervision.
Depress pedals to lower electrodes that heat and seal edges of material.
AI: Fully automatable - Simple, repetitive actuations like depressing pedals to lower electrodes are readily automated with actuators or robotics controlled by AI systems.
Monitor machine operations to detect malfunctions and report or resolve problems.
AI: Partial - AI can monitor sensor data and detect many malfunctions and in some cases perform automated fixes, but complex diagnostics and repairs still commonly require human technicians.
Fill machines with glue, cement, or adhesives.
AI: Partial - Automated dispensing and refill systems exist for adhesives, but variability in containers, safety/contamination concerns, and ad hoc refilling tasks often still require human intervention.
Remove and stack completed materials or products, and restock materials to be joined.
AI: Partial - Robotic handling systems can pick, stack, and restock in structured settings, but general-purpose removal and restocking across variable parts and layouts still requires human flexibility.
Remove jammed materials from machines and readjust components as necessary to resume normal operations.
AI: Partial - Clearing jams and readjusting components often require ad hoc physical manipulation and troubleshooting that current robotics and AI can only partially automate.
Mount or load material such as paper, plastic, wood, or rubber in feeding mechanisms of cementing or gluing machines.
AI: Partial - Loading materials into feeders can be automated in constrained setups, but varied shapes, materials, and tolerances mean human operators remain necessary in many contexts.
Clean and maintain gluing and cementing machines, using solutions, lubricants, brushes, and scrapers.
AI: Partial - Routine machine cleaning and maintenance can be partially automated, but the varied, manual tasks (scraping, targeted cleaning, judgment about chemicals) limit full automation today.
Transport materials, supplies, and finished products between storage and work areas, using forklifts.
AI: Partial - Autonomous forklifts and AMRs exist and can handle structured transport, but mixed, dynamic factory environments still commonly require human drivers or oversight.