37
/100

SOC 17-3026

Industrial Engineering Technologists and Technicians

ModerateFrey/Osborne: 3.0%

Risk Score

โš ๏ธ

37/100

Moderate

US Employment

๐Ÿ‘ฅ

73,410

Total workers

Median Wage

๐Ÿ’ฐ

$65K

$46K โ€“ $98K

Projected Growth

๐Ÿ“ˆ

+1.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

67/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Industrial Engineering Technologists and Technicians face a risk score of 37/100 โ€” 7 points below the national average of 44. With 67/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $65K ($18K 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 37/100, Industrial Engineering Technologists and Technicians faces moderate automation pressure. While tasks like ai-assisted cad and generative design tools are increasingly handled by AI, the role retains significant human elements. The 73,410 workers in this occupation should focus on strengthening skills in on-site problem-solving in variable physical conditions and safety-critical judgment in design review to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Industrial Engineering Technologists and Technicians?

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

โš ๏ธ Top Risk Factors

1

AI-assisted CAD and generative design tools

2

AI-generated written content replacing manual drafting

3

Simulation and digital twin automation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

On-site problem-solving in variable physical conditions

โœ“

Safety-critical judgment in design review

โœ“

Client communication and technical consultation

โœ“

Cross-disciplinary collaboration on complex projects

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

Test selected products at specified stages in the production process for performance characteristics or adherence to specifications.

โ€ข

Compile and evaluate statistical data to determine and maintain quality and reliability of products.

โ€ข

Study time, motion, methods, or speed involved in maintenance, production, or other operations to establish standard production rate or improve efficiency.

โ€ข

Read worker logs, product processing sheets, or specification sheets to verify that records adhere to quality assurance specifications.

โ€ข

Verify that equipment is being operated and maintained according to quality assurance standards by observing worker performance.

๐Ÿ’ป Technology Skills

โ€ข

Materials requirements planning logistics and supply chain software

โ€ข

Analytical or scientific software

โ€ข

Industrial control software

โ€ข

Computer aided design CAD software

โ€ข

Development environment software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Engineering and Technology

โ€ข

Chemistry

โ€ข

Physics

โ€ข

Computers and Electronics

๐Ÿ“Š vs National Average

Median Wage$65K
+$18K

National avg: $46K

Risk Score37/100
-7

National avg: 44/100

GenAI Exposure67/100
+29

National avg: 38/100

Projected Growth1.7%
-2.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K79%
Social Scientists and Related Workers21$93K57%
Architects, Except Landscape and Naval29$97K76%