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Electrical and Electronic Engineering Technologists and Technicians

Occupation · SOC 17-3023.00

Apply electrical and electronic theory and related knowledge, usually under the direction of engineering staff, to design, build, repair, adjust, and modify electrical components, circuitry, controls, and machinery for subsequent evaluation and use by engineering staff in making engineering design decisions.

Also called: Electronics Engineering Technician · Engineering Technician (Engineering Tech) · Engineering Technologist · Technologist · Communications Technologist · Electrical Engineering Technician · Electrical Technician · Electronics Technician · System Technologist · Analog Circuit Designer · Analog Device Designer · Analysis Specialist

Job family: Architecture and Engineering Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-17-3023-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

58th-percentile task overlap — yet about 8,400 openings a year (+0.6% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 57th 0.4
LLM task exposure, γ (OpenAI / Eloundou) Moderate 51st 0.6
AI assistant applicability (Microsoft) High 68th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.4), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.8 · 69th percentile among occupations · High

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Set up and operate specialized or standard test equipment to diagnose, test, or analyze the performance of electronic components, assemblies, or systems. 3.0%
Provide user applications or engineering support or recommendations for new or existing equipment with regard to installation, upgrades, or enhancements. 2.4%
Read blueprints, wiring diagrams, schematic drawings, or engineering instructions for assembling electronics units, applying knowledge of electronic theory and components. 0.5%
Integrate software or hardware components, using computer, microprocessor, or control architecture. 0.4%
Conduct statistical studies to analyze or compare production costs for sustainable or nonsustainable designs. 0.3%
Identify and resolve equipment malfunctions, working with manufacturers or field representatives as necessary to procure replacement parts. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +0.6% by 2034
Projected annual openings 8,400
Employment 2024 → 2034 93,700 → 94,300

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 4 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

36% mean task exposure (2025)
66th percentile of 427 placed occupations
+5 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Telecommunications Engineering Technicians · 3522 45% Minimal
Electronics Engineering Technicians · 3114 38% Minimal
Air Traffic Safety Electronics Technicians · 3155 34% Minimal
Electrical Engineering Technicians · 3113 27% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Computers and Electronics 4.4
Engineering and Technology 4.4
English Language 3.8
Design 3.6
Mathematics 3.5
Customer and Personal Service 3.3
Mechanical 3.3
Production and Processing 3.2
Telecommunications 3.1
Physics 3.1

Essential skills

Reading Comprehension 3.9
Critical Thinking 3.8
Active Listening 3.6
Writing 3.3
Speaking 3.3
Active Learning 3.1
Monitoring 3.1

Abilities

Written Comprehension 3.9
Deductive Reasoning 3.9
Inductive Reasoning 3.9
Oral Comprehension 3.8
Near Vision 3.8
Problem Sensitivity 3.6
Oral Expression 3.5
Information Ordering 3.5
Written Expression 3.4
Visualization 3.4
Speech Clarity 3.4
Category Flexibility 3.3
Perceptual Speed 3.3
Visual Color Discrimination 3.3
Speech Recognition 3.3
Selective Attention 3.1

Transferable skills

Troubleshooting 3.5
Repairing 3.5
Complex Problem Solving 3.4
Judgment and Decision Making 3.1
Systems Analysis 3.1
Coordination 3.0
Operations Monitoring 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 58.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Adobe Acrobat Document management software Hot technology
Autodesk AutoCAD Computer aided design CAD software Hot technology
Autodesk Revit Computer aided design CAD software Hot technology
Bentley MicroStation Computer aided design CAD software Hot technology
C Development environment software Hot technology
C++ Object or component oriented development software Hot technology
Dassault Systemes SolidWorks Computer aided design CAD software Hot technology
Eclipse IDE Development environment software Hot technology
JavaScript Web platform development software Hot technology
Linux Operating system software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Project Project management software Hot technology
Microsoft Visual Basic Development environment software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
Oracle Database Data base user interface and query software Hot technology
Oracle Primavera Enterprise Project Portfolio Management Enterprise resource planning ERP software Hot technology
Python Object or component oriented development software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
The MathWorks MATLAB Analytical or scientific software Hot technology
UNIX Operating system software Hot technology
Adobe ActionScript Development environment software
Agilent Advanced Design System ADS Computer aided design CAD software
Altera MAX Analytical or scientific software
Altera Quartus II Analytical or scientific software
Altium Designer Computer aided design CAD software
Anadigm Designer2 EDA Analytical or scientific software
Analog Devices VisualDSP++ Development environment software
Ansoft HFSS Analytical or scientific software
Ansys Fluent Analytical or scientific software
AVEVA InTouch HMI Industrial control software
Bentley Systems ProjectWise Project management software
BSVC Analytical or scientific software
Cadence OrCAD PSpice Analytical or scientific software
Cadence PSpice Analytical or scientific software
Canu Development environment software

Showing the top 40 of 103.

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

E-Mail 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.7
Indoors, Environmentally Controlled 4.6
Freedom to Make Decisions 4.4
Importance of Being Exact or Accurate 4.4
Determine Tasks, Priorities and Goals 4.3
Telephone Conversations 4.3
Work With or Contribute to a Work Group or Team 4.2
Contact With Others 4.0
Impact of Decisions on Co-workers or Company Results 3.9
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.7
Spend Time Sitting 3.6
Coordinate or Lead Others in Accomplishing Work Activities 3.6
Time Pressure 3.6
Frequency of Decision Making 3.5
Health and Safety of Other Workers 3.4
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.4
Work Outcomes and Results of Other Workers 3.3
Written Letters and Memos 3.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.2
Importance of Repeating Same Tasks 3.2
Consequence of Error 3.1
Physical Proximity 3.1
Deal With External Customers or the Public in General 2.9
Level of Competition 2.9
Exposed to Hazardous Conditions 2.8
Exposed to Contaminants 2.7
Indoors, Not Environmentally Controlled 2.7
Conflict Situations 2.6
Exposed to Hazardous Equipment 2.6
Spend Time Standing 2.6
Dealing With Unpleasant, Angry, or Discourteous People 2.6
Spend Time Making Repetitive Motions 2.5
Exposed to Minor Burns, Cuts, Bites, or Stings 2.5
Outdoors, Exposed to All Weather Conditions 2.5
Exposed to Very Hot or Cold Temperatures 2.3
Exposed to Cramped Work Space, Awkward Positions 2.3
In an Enclosed Vehicle or Operate Enclosed Equipment 2.3
Outdoors, Under Cover 2.2
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.2

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
Associate's degree · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Engineering/Engineering-Related Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Engineering 6.8
Mechanics/Electronics 6.2
Information Technology 3.7
Physical Science 3.4
Mathematics/Statistics 3.4
Physical/Manual Labor 2.2
Management/Administration 1.8

Career interests (Holland / RIASEC)

Realistic 6.3
Investigative 5.2
Conventional 5.0
Social 1.8
Artistic 1.8

Work styles

Dependability 3.0
Attention to Detail 2.8
Cautiousness 2.1
Intellectual Curiosity 1.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$48k10th$61k25th$77kMedian$95k75th$112k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
94k202494k2034 (proj.)+0.6% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $48,250
25th percentile $60,610
Median (50th) $77,180
75th percentile $94,810
90th percentile $111,790
People employed 92,710

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Manufacturing · Sector 37,470 $67,960
Professional, Scientific, and Technical Services · Sector 19,920 $74,090
Engineering Services · National industry 10,960 $74,280
Utilities · Sector 5,390 $95,110
Transportation and Warehousing · Sector 4,730 $84,530
Information · Sector 3,200 $98,740
Wholesale Trade · Sector 2,950 $70,190
Construction · Sector 2,870 $66,840
Electrical Contractors and Other Wiring Installation Contractors · National industry 2,050 $65,390
Administrative and Support and Waste Management and Remediation Services · Sector 1,980 $71,820
Management of Companies and Enterprises · Sector 1,300 $85,000
Fossil Fuel Electric Power Generation · National industry 1,260 $96,310

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Fossil Fuel Electric Power Generation · National industry 29.39× 1,260
Wind Electric Power Generation · National industry 20.1× 120
Engineering Services · National industry 15.77× 10,960
Utilities · Sector 15.47× 5,390
Nuclear Electric Power Generation · National industry 7.61× 170
Testing Laboratories and Services · National industry 6.93× 710
Manufacturing · Sector 4.88× 37,470
Electrical Contractors and Other Wiring Installation Contractors · National industry 3.18× 2,050

Part of the Advanced Manufacturing and Energy & Natural Resources career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Electrical and Electronic Engineering Technologists and Technicians sits at the 58th percentile of AI task-overlap and the 66th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Electrical and Electronic Engineering Technologists and Technicians Electrical and Electronics Installers and Repairers, Transportation Equipment Robotics Technicians Aerospace Engineering and Operations Technologists and Technicians Electrical Engineers Industrial Engineering Technologists and Technicians Electronics Engineers, Except Computer Mechanical Engineers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Electrical and Electronic Engineering Technologists and Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 66th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Electrical and Electronic Engineering Technologists and Technicians show 58th-percentile AI task overlap — and about 8,400 annual U.S. openings

  • Electrical and Electronic Engineering Technologists and Technicians rank in the 58th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 8,400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+0.6%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $77,180, across about 92,710 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Electrical and Electronic Engineering Technologists and Technicians show 58th-percentile AI task overlap — and about 8,400 annual U.S. openings

• Electrical and Electronic Engineering Technologists and Technicians rank in the 58th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 8,400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+0.6%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $77,180, across about 92,710 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Electrical and Electronic Engineering Technologists and Technicians". https://singulariki.com/roles/role-17-3023-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Electrical and Electronic Engineering Technologists and Technicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-17-3023-00

APA

Singulariki. (2026). Electrical and Electronic Engineering Technologists and Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-17-3023-00

BibTeX
@misc{singulariki-role-17-3023-00,
  title  = {Electrical and Electronic Engineering Technologists and Technicians},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-17-3023-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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