46
/100

SOC 51-4052

Pourers and Casters, Metal

ElevatedFrey/Osborne: 87.0%

Risk Score

โš ๏ธ

46/100

Elevated

US Employment

๐Ÿ‘ฅ

5,830

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$37K โ€“ $68K

Projected Growth

๐Ÿ“ˆ

-4.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

24/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Pourers and Casters, Metal face a risk score of 46/100 โ€” 2 points above the national average of 44. With only 24/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $49K ($3K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 46/100, Pourers and Casters, Metal faces moderate automation pressure. While tasks like automated cnc programming and machine operation are increasingly handled by AI, the role retains significant human elements. The 5,830 workers in this occupation should focus on strengthening skills in handling non-standard materials and configurations and coordinating workflow across diverse production teams to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Pourers and Casters, Metal?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated CNC programming and machine operation

2

Smart factory scheduling and production optimization

3

Cobots handling repetitive material handling tasks

4

AI quality inspection via computer vision systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling non-standard materials and configurations

โœ“

Coordinating workflow across diverse production teams

โœ“

Setup and calibration of custom production runs

โœ“

Quality judgment requiring tactile and visual inspection

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Pour and regulate the flow of molten metal into molds and forms to produce ingots or other castings, using ladles or hand-controlled mechanisms.

โ€ข

Read temperature gauges and observe color changes, adjusting furnace flames, torches, or electrical heating units as necessary to melt metal to specifications.

โ€ข

Remove solidified steel or slag from pouring nozzles, using long bars or oxygen burners.

โ€ข

Examine molds to ensure they are clean, smooth, and properly coated.

โ€ข

Collect samples, or signal workers to sample metal for analysis.

๐Ÿ’ป Technology Skills

โ€ข

Industrial control software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

โ€ข

Presentation software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Production and Processing

โ€ข

Education and Training

โ€ข

Mechanical

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score46/100
+2

National avg: 44/100

GenAI Exposure24/100
-14

National avg: 38/100

Projected Growth-4.7%
-8.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K57%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K67%
Fabric and Apparel Patternmakers33$68K71%