56
/100

SOC 17-3022

Civil Engineering Technologists and Technicians

ElevatedFrey/Osborne: 75.0%

Risk Score

โš ๏ธ

56/100

Elevated

US Employment

๐Ÿ‘ฅ

62,130

Total workers

Median Wage

๐Ÿ’ฐ

$64K

$44K โ€“ $98K

Projected Growth

๐Ÿ“ˆ

+2.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

81/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Civil Engineering Technologists and Technicians face a risk score of 56/100 โ€” 12 points above the national average of 44. With 81/100 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 $64K ($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 56/100, Civil Engineering Technologists and Technicians faces moderate automation pressure. While tasks like ai coding assistants reducing developer demand are increasingly handled by AI, the role retains significant human elements. The 62,130 workers in this occupation should focus on strengthening skills in cross-disciplinary collaboration on complex projects and client communication and technical consultation to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Civil 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 coding assistants reducing developer demand

2

AI-optimized manufacturing process design

3

Automated data interpretation and insight generation

4

Chatbot displacement of customer-facing interactions

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Cross-disciplinary collaboration on complex projects

โœ“

Client communication and technical consultation

โœ“

Novel engineering design for unprecedented challenges

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

Calculate dimensions, square footage, profile and component specifications, and material quantities, using calculator or computer.

โ€ข

Read and review project blueprints and structural specifications to determine dimensions of structure or system and material requirements.

โ€ข

Draft detailed dimensional drawings and design layouts for projects to ensure conformance to specifications.

โ€ข

Confer with supervisor to determine project details such as plan preparation, acceptance testing, and evaluation of field conditions.

โ€ข

Analyze proposed site factors and design maps, graphs, tracings, and diagrams to illustrate findings.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Map creation software

โ€ข

Analytical or scientific software

โ€ข

Electronic mail software

โ€ข

Geographic information system

๐ŸŽ“ Key Knowledge Areas

โ€ข

Engineering and Technology

โ€ข

Mathematics

โ€ข

Building and Construction

โ€ข

Design

โ€ข

Administrative

๐Ÿ“Š vs National Average

Median Wage$64K
+$18K

National avg: $46K

Risk Score56/100
+12

National avg: 44/100

GenAI Exposure81/100
+43

National avg: 38/100

Projected Growth2.1%
-1.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K72%
Social Scientists and Related Workers21$93K55%
Architects, Except Landscape and Naval29$97K84%