Medium AI Risk Declining

Heat treating equipment setters, operators, and tenders, metal and plastic

SOC Code: 51-4191

Heat treating equipment setters, operators, and tenders, metal and plastic carries a 36% AI exposure score (Medium automation risk), with a median annual wage of $47,450 and -12.8% projected employment growth from 2024 to 2034 (BLS), affecting approximately 14,800 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
36% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
-12.8%
2024–2034 (BLS)
-1,900 jobs
Median Annual Wage
$47,450
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

14,800
Employment 2024
12,900
Projected 2034
-12.8%
Change (%)
-1,900
Change (jobs)

Occupation Insight

Heat treating equipment setters, operators, and tenders, metal and plastic (SOC 51-4191) carries an AI exposure score of 36%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 14,800 workers in this occupation in 2024, and projects a -12.8% change through 2034 — a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $47,450, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Heat treating equipment setters, operators, and tenders, metal and plastic. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Read production schedules and work orders to determine processing sequences, furnace temperatures, and heat cycle requirements for objects to be heat-treated.
  2. 2. Determine flame temperatures, current frequencies, heating cycles, and induction heating coils needed, based on degree of hardness required and properties of stock to be treated.
  3. 3. Record times that parts are removed from furnaces to document that objects have attained specified temperatures for specified times.
  4. 4. Determine types and temperatures of baths and quenching media needed to attain specified part hardness, toughness, and ductility, using heat-treating charts and knowledge of methods, equipment, and metals.
  5. 5. Examine parts to ensure metal shades and colors conform to specifications, using knowledge of metal heat-treating.
  6. 6. Adjust controls to maintain temperatures and heating times, using thermal instruments and charts, dials and gauges of furnaces, and color of stock in furnaces to make setting determinations.
  7. 7. Set and adjust speeds of reels and conveyors for prescribed time cycles to pass parts through continuous furnaces.
  8. 8. Start conveyors and open furnace doors to load stock, or signal crane operators to uncover soaking pits and lower ingots into them.
  9. 9. Set up and operate or tend machines, such as furnaces, baths, flame-hardening machines, and electronic induction machines, that harden, anneal, and heat-treat metal.
  10. 10. Load parts into containers and place containers on conveyors to be inserted into furnaces, or insert parts into furnaces.

Key Skills Required

  • Operations Monitoring
  • Operation and Control
  • Active Listening
  • Speaking
  • Monitoring
  • Quality Control Analysis
  • Critical Thinking
  • Equipment Maintenance
  • Judgment and Decision Making
  • Reading Comprehension

Knowledge Areas

  • Production and Processing
  • Mathematics
  • Education and Training
  • Administration and Management
  • Chemistry
  • Mechanical
  • Customer and Personal Service
  • Engineering and Technology
  • Design
  • Physics

Frequently Asked Questions

Will AI replace Heat treating equipment setters, operators, and tenders, metal and plastic?

Heat treating equipment setters, operators, and tenders, metal and plastic has an AI exposure score of 36%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Heat treating equipment setters, operators, and tenders, metal and plastic?

According to BLS Employment Projections 2024-2034, Heat treating equipment setters, operators, and tenders, metal and plastic is projected to decline by 12.8% over the decade. Current employment stands at approximately 14,800 workers.

What skills are needed for Heat treating equipment setters, operators, and tenders, metal and plastic?

Key skills for Heat treating equipment setters, operators, and tenders, metal and plastic include Operations Monitoring, Operation and Control, Active Listening, and others. Typical entry-level education is High school diploma or equivalent.

How much do Heat treating equipment setters, operators, and tenders, metal and plastic earn?

The median annual wage for Heat treating equipment setters, operators, and tenders, metal and plastic is $47,450, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Heat treating equipment setters, operators, and tenders, metal and plastic?

The typical entry-level education for Heat treating equipment setters, operators, and tenders, metal and plastic is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Heat treating equipment setters, operators, and tenders, metal and plastic?

Heat treating equipment setters, operators, and tenders, metal and plastic roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.8
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial