34
/100

SOC 17-2112

Industrial Engineers

ModerateFrey/Osborne: 2.9%

Risk Score

โš ๏ธ

34/100

Moderate

US Employment

๐Ÿ‘ฅ

350,230

Total workers

Median Wage

๐Ÿ’ฐ

$101K

$70K โ€“ $157K

Projected Growth

๐Ÿ“ˆ

+11%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

82/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Industrial Engineers face a risk score of 34/100 โ€” 10 points below the national average of 44. With 82/100 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 $101K ($55K 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 34/100, Industrial Engineers faces moderate automation pressure. While tasks like generative ai producing marketing and creative copy are increasingly handled by AI, the role retains significant human elements. The 350,230 workers in this occupation should focus on strengthening skills in novel engineering design for unprecedented challenges and on-site problem-solving in variable physical conditions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Industrial Engineers?

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

โš ๏ธ Top Risk Factors

1

Generative AI producing marketing and creative copy

2

AI-generated written content replacing manual drafting

3

AI-assisted CAD and generative design tools

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Novel engineering design for unprecedented challenges

โœ“

On-site problem-solving in variable physical conditions

โœ“

Cross-disciplinary collaboration on complex projects

โœ“

Safety-critical judgment in design review

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

Estimate production costs, cost saving methods, and the effects of product design changes on expenditures for management review, action, and control.

โ€ข

Plan and establish sequence of operations to fabricate and assemble parts or products and to promote efficient utilization.

โ€ข

Analyze statistical data and product specifications to determine standards and establish quality and reliability objectives of finished product.

โ€ข

Confer with clients, vendors, staff, and management personnel regarding purchases, product and production specifications, manufacturing capabilities, or project status.

โ€ข

Communicate with management and user personnel to develop production and design standards.

๐Ÿ’ป Technology Skills

โ€ข

Analytical or scientific software

โ€ข

Industrial control software

โ€ข

Computer aided design CAD software

โ€ข

Object or component oriented development software

โ€ข

Computer aided manufacturing CAM software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Engineering and Technology

โ€ข

Mechanical

โ€ข

Psychology

โ€ข

Design

๐Ÿ“Š vs National Average

Median Wage$101K
+$55K

National avg: $46K

Risk Score34/100
-10

National avg: 44/100

GenAI Exposure82/100
+44

National avg: 38/100

Projected Growth11.0%
+7.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K73%
Electronics Engineers, Except Computer29$128K70%
Chemical Engineers30$122K83%