Civil engineering technologists and technicians

AI Overlap Index
47.9 / 100
Partially Exposed

Clear pressure on routine tasks. Composition of the role will shift within the decade.

SOC 17-3022 · Architecture And Engineering

Bureau of Labor Statistics
Median pay
$64,200/yr
Hourly
$31/hr
Jobs 2024
64,900
Projected 2034
66,200
10-yr outlook
+2% · Slower than average
Employment change
1,400
Entry education
Associate's degree
SOC code
17-3022

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
44.9
contribution to AOI: 26.9
Automation Potential weight 10%
60.0
contribution to AOI: 6.0
Market Pressure weight 15%
55.0
contribution to AOI: 8.2
Entry Barrier Erosion weight 15%
45.0
contribution to AOI: 6.8

By seniority

multiplicative adjustment from category curve

Entry
57.5
mult 1.20x
Mid
47.9
mult 1.00x
Senior
37.4
mult 0.78x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

10 tasks · model: claude-sonnet-4-5-20250929
Supporting t10

Set up and maintain project files and records

Document management, file organization, and record-keeping are highly automatable tasks. AI systems can automatically categorize, tag, store, and retrieve project files based on metadata and content, maintaining version control and compliance with minimal human intervention beyond initial setup and occasional audits.

BLS evidence: The duties section includes 'Set up and help maintain project files and records.'

88
automation
Supporting t9

Prepare reports and document project activities and data

AI excels at structuring data into standardized reports, summarizing project activities, and generating documentation from logs and measurements. Modern LLMs can produce technical reports that meet industry standards with minimal human editing, requiring only light review for accuracy and completeness.

BLS evidence: The duties section lists 'Prepare reports and document project activities and data.'

82
automation
Important t6

Read and review project drawings to determine structure sizes

AI vision models combined with engineering knowledge bases can accurately extract dimensions, identify structural elements, and verify specifications from technical drawings. This is primarily a pattern recognition and calculation task that current AI handles well, though human review for critical projects remains standard practice.

BLS evidence: The duties section lists 'Read and review project drawings and plans to determine the sizes of structures.'

75
automation
Core t1

Use CAD software to draft project drawings and plans

AI-powered CAD tools can now generate technical drawings from specifications and design parameters with high accuracy. While complex projects may require human review for optimization and code compliance, AI can autonomously produce draft-quality drawings that substantially reduce human labor time.

BLS evidence: The duties section lists 'Use computer aided design (CAD) software to draft project drawings' as a primary activity.

72
automation
Important t7

Develop plans and estimate costs for construction systems and facilities

AI can generate preliminary plans and cost estimates by analyzing historical data, material costs, and design parameters. However, site-specific constraints, local market conditions, and creative optimization of systems require significant human input. AI substantially accelerates the process but humans remain load-bearing for quality outcomes.

BLS evidence: The duties section includes 'Develop plans and estimate costs for constructing systems and operating facilities.'

58
automation
Important t5

Confer with engineers to prepare plans and designs

AI can facilitate technical discussions by generating design alternatives, flagging conflicts, and suggesting solutions based on engineering principles. However, the collaborative negotiation of trade-offs, client requirements, and creative problem-solving still benefits substantially from human judgment, making this a strong assist scenario.

BLS evidence: The duties section states they 'Confer with engineers to prepare plans.'

48
automation
Important t4

Test construction materials and soil samples for appropriateness

Material testing involves physical sample collection from construction sites, operation of laboratory equipment (compression testers, sieves, moisture analyzers), and handling of specimens. While AI can analyze test results, the physical manipulation and equipment operation in varied field/lab settings remains difficult to automate.

BLS evidence: The duties section includes 'Test appropriateness of construction materials and soil samples.'

25
automation
Core t3

Observe project sites to ensure construction conforms to design specifications and codes

On-site observation requires physical presence in active construction zones, real-time assessment of three-dimensional structures, and judgment calls about safety and compliance in unpredictable conditions. While AI can analyze photos/video, the need for mobility across hazardous sites and immediate intervention authority keeps this human-dependent.

BLS evidence: The duties section specifies they 'Observe project sites to ensure that construction conforms to design specifications and applicable codes.'

22
automation
Core t2

Conduct field surveys to collect data on site conditions

Field surveying requires physical presence in varied outdoor environments, operation of specialized equipment (total stations, GPS rovers), and navigation of unpredictable terrain and site conditions. Current robotics cannot reliably handle the mobility and real-time decision-making required across diverse construction sites.

BLS evidence: The duties section states they 'Conduct field surveys to collect data on site conditions and inspect structures.'

18
automation
Important t8

Install, troubleshoot, and maintain designs created by engineers

Installation and troubleshooting require hands-on work with physical systems in varied field conditions, fine motor skills for connections and adjustments, and real-time problem-solving in unpredictable environments. Current robotics cannot match the dexterity and adaptability needed for construction site maintenance work.

BLS evidence: The page states 'Civil engineering technicians typically install, troubleshoot, and maintain designs created by engineers.'

12
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
60
karpathy 6/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
55
outlook: Slower than average
  • BLS projected outlook: Slower than average (2%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
45
ed: Associate's degree
  • BLS typical entry-level education: Associate's degree
  • Credential trend signal (annual refresh)

Related in Architecture And Engineering

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