Headline risk
10%
Low RiskExtruding, forming, pressing, and compacting machine setters, operators, and tenders
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Set up, operate, or tend machines, such as glass-forming machines, plodder machines, and tuber machines, to shape and form products such as glassware, food, rubber, soap, brick, tile, clay, wax, tobacco, or cosmetics.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 45,130
Employment 2024
57.3K
Projected Change (2024–34)
2.0%
Openings (2024–34)
5.2K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Press control buttons to activate machinery and equipment. AI use: 0%
- 2. Monitor machine operations and observe lights and gauges to detect malfunctions. AI use: 0%
- 3. Examine, measure, and weigh materials or products to verify conformance to standards, using measuring devices such as templates, micrometers, or scales. AI use: 0%
- 4. Adjust machine components to regulate speeds, pressures, and temperatures, and amounts, dimensions, and flow of materials or ingredients. AI use: 0%
- 5. Record and maintain production data, such as meter readings, and quantities, types, and dimensions of materials produced. AI use: 0%
- 6. Turn controls to adjust machine functions, such as regulating air pressure, creating vacuums, and adjusting coolant flow. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 39.3 · 53K employed
Under 25: 15% · 25–54: 66% · 55+: 19%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
title_match · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.