Will AI replace Electronics Engineers, Except Computer?
Work in Electronics Engineers, Except Computer sits in the in-between: AI reaches some of it (~57% in theory) but is only measured doing about 10% today — part human, part machine.
O*NET-SOC 17-2072
How your 34 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~57%). By late 2025, real-world AI use had reached about 10% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Read this as a range, not a verdict
The signals here partly disagree — AI's theoretical reach (~57%) and its real-world use (~10%) tell different stories. AI-risk scores also shift a lot by which model does the rating (2.7%–51.5% in one 2026 study), so this is a direction of travel, not a fixed answer.
See all 34 tasks, ratedBased on real task-level AI scores — click to collapse
- Operate computer-assisted engineering or design software or equipment to perform electronics engineering tasks.
- Recommend repair or design modifications of electronics components or systems, based on factors such as environment, service, cost, or system capabilities.
- Prepare documentation containing information such as confidential descriptions or specifications of proprietary hardware or software, product development or introduction schedules, product costs, or information about product performance weaknesses.
- Develop or perform operational, maintenance, or testing procedures for electronic products, components, equipment, or systems.
- Prepare, review, or maintain maintenance schedules, design documentation, or operational reports or charts.
- Integrate tags, readers, or software in radio frequency identification device (RFID) designs.
- Perform systems analysis or programming of radio frequency identification device (RFID) technology.
- Test radio frequency identification device (RFID) software to ensure proper functioning.
- Perform acceptance testing on newly installed or updated systems.
- Determine means of integrating radio frequency identification device (RFID) into other applications.
- Provide technical support for radio frequency identification device (RFID) technology.
- Verify compliance of developed applications with architectural standards and established practices.
- Develop process flows, work instructions, or standard operating procedures for radio frequency identification device (RFID) systems.
- Document equipment or process details of radio frequency identification device (RFID) technology.
- Design electronic components, software, products, or systems for commercial, industrial, medical, military, or scientific applications.
- Evaluate project work to ensure effectiveness, technical adequacy, or compatibility in the resolution of complex electronics engineering problems.
- Direct or coordinate activities concerned with manufacture, construction, installation, maintenance, operation, or modification of electronic equipment, products, or systems.
- Provide technical support or instruction to staff or customers regarding electronics equipment standards.
- Analyze electronics system requirements, capacity, cost, or customer needs to determine project feasibility.
- Determine project material or equipment needs.
- Identify operational requirements for new systems to inform selection of technological solutions.
- Select appropriate radio frequency identification device (RFID) tags and determine placement locations.
- Perform site analyses to determine system configurations, processes to be impacted, or on-site obstacles to technology implementation.
- Collect data about existing client hardware, software, networking, or key business processes to inform implementation of radio frequency identification device (RFID) technology.
- Test tags or labels to ensure readability.
- Determine usefulness of new radio frequency identification device (RFID) technologies.
- Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of industry research about new technologies.
- Define and compare possible radio frequency identification device (RFID) solutions to inform selection for specific projects.
- Create simulations or models of radio frequency identification device (RFID) systems to provide information for selection and configuration.
- Analyze radio frequency identification device (RFID)-related supply chain data.
- Confer with engineers, customers, vendors, or others to discuss existing or potential electronics engineering projects or products.
- Inspect electronic equipment, instruments, products, or systems to ensure conformance to specifications, safety standards, or applicable codes or regulations.
- Install, test, or maintain radio frequency identification device (RFID) systems.
- Train users in details of system operation.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.