Opens in a new tab
needsahuman

Will AI replace electronics engineers, except computer?

A little.

This job scores 67 out of 100 on (higher is safer). Today AI could do about 10% of the work by itself, people do 51% with AI’s help, and 39% still needs a person.

Updated 3 October 2026O*NET-SOC 17-2072UK SOC 2124, 5249Release 2026-Q4
Architecture and EngineeringElectronics Engineers, Except Computer17-2072 · 2026-Q4
10% AI does it51% AI helps39% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 39%AI helps 51%AI does it 10%
Each ridge is a slice of the job's task time.Needs a human 39%AI helps 51%AI does it 10%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Electronics Engineers, Except Computer, O*NET-SOC 17-2072. 39% of the job’s task time still needs a human, so 39 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from O*NET, and where AI stands on each today. 39% of the task time still needs a human.

Each block is one task; its height is its share of working time.Needs a human 39%AI helps 51%AI does it 10%
The job's task list: the parts AI can do are blacked out.Needs a human 39%AI helps 51%AI does it 10%
Design electronic components, software, products, or systems for commercial, industrial, medical, military, or scientific applications.AI helps
Operate computer-assisted engineering or design software or equipment to perform electronics engineering tasks.Needs a human
Evaluate project work to ensure effectiveness, technical adequacy, or compatibility in the resolution of complex electronics engineering problems.AI helps
Direct or coordinate activities concerned with manufacture, construction, installation, maintenance, operation, or modification of electronic equipment, products, or systems.Needs a human
Confer with engineers, customers, vendors, or others to discuss existing or potential electronics engineering projects or products.Needs a human
Provide technical support or instruction to staff or customers regarding electronics equipment standards.AI does it
Recommend repair or design modifications of electronics components or systems, based on factors such as environment, service, cost, or system capabilities.AI helps
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.AI helps
Develop or perform operational, maintenance, or testing procedures for electronic products, components, equipment, or systems.Needs a human
Analyze electronics system requirements, capacity, cost, or customer needs to determine project feasibility.AI helps
Prepare, review, or maintain maintenance schedules, design documentation, or operational reports or charts.AI does it
Inspect electronic equipment, instruments, products, or systems to ensure conformance to specifications, safety standards, or applicable codes or regulations.Needs a human
Determine project material or equipment needs.AI helps
Prepare necessary criteria, procedures, reports, or plans for successful conduct of the project with consideration given to site preparation, facility validation, installation, quality assurance, or testing.AI helps
Plan or develop applications or modifications for electronic properties used in components, products, or systems to improve technical performance.Needs a human
Prepare engineering sketches or specifications for construction, relocation, or installation of equipment, facilities, products, or systems.AI helps
Prepare budget or cost estimates for equipment, construction, or installation projects or control expenditures.AI helps
Investigate green consumer electronics applications for consumer electronic devices, power saving devices for computers or televisions, or energy efficient power chargers.AI helps
Represent employer at conferences, meetings, boards, panels, committees, or working groups to present, explain, or defend findings or recommendations, negotiate compromises or agreements, or exchange information.AI helps
Research or develop new green electronics technologies, such as lighting, optical data storage devices, or energy efficient televisions.Needs a human

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is graded A to D, and vendor studies are labelled as such.

When could it be replaced?

Could be largely automated 2036–2049

80% of scenarios between 2036 and 2049. A range from our scenario model of capability, adoption and friction, not a forecast that the job ends.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten scenarios behind its replacement range.

Today
Will AI replace this job?
A little.
By 2045
90%
of our scenarios have AI largely doing this job by 2045 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)
By 2060
100%
of our scenarios have AI largely doing this job by 2060 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: AI could do a little of this job (A little.)100%Today2030: 40.0% of scenarios: AI could do a little of this job (A little.)40%2030: 60.0% of scenarios: AI could partly do this job (Partly.)60%20302035: 40.0% of scenarios: AI could partly do this job (Partly.)40%2035: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2035: 20.0% of scenarios: AI could largely do this job (Largely.)20%20352040: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2040: 60.0% of scenarios: AI could largely do this job (Largely.)60%20402045: 10.0% of scenarios: AI could mostly do this job (Mostly.)10%2045: 90.0% of scenarios: AI could largely do this job (Largely.)90%20452050: 100.0% of scenarios: AI could largely do this job (Largely.)100%20502055: 100.0% of scenarios: AI could largely do this job (Largely.)100%20552060: 100.0% of scenarios: AI could largely do this job (Largely.)100%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%0.0%100.0%0.0%
20300.0%0.0%60.0%40.0%0.0%
203520.0%40.0%40.0%0.0%0.0%
204060.0%40.0%0.0%0.0%0.0%
204590.0%10.0%0.0%0.0%0.0%
2050100.0%0.0%0.0%0.0%0.0%
2055100.0%0.0%0.0%0.0%0.0%
2060100.0%0.0%0.0%0.0%0.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from O*NET work context, licensing and the evidence we have.

LiabilityMistakes are rated 2.7 out of 5 for consequence and decisions 3.3 out of 5 for impact; someone has to answer for them.
Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
Clients want a personFace-to-face contact is rated 4.5 and physical closeness 3.0 out of 5; caring for or serving people is 2.1 out of 5 in importance.
LicensingUsual entry requirement (BLS): bachelor's degree.
RegulationWorkers rate responsibility for others' health and safety 2.3 out of 5.
Physical work9% of the task time is physical; robots have been shown on 100% of that time.

What would it cost to hand the work to AI?

The share of the year AI could handle (745 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$70–$7,450
A person’s wage for the same hours
$29,300–$74,090

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

9%
of the task time is physical work
None needed
the kind of robot the physical work would need
Little of this job is physical, so robotics is not what holds AI back.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 39%AI helps 51%AI does it 10%
Writing · 26.1% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 42.7% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 7.9% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 3.5% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 6.8% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 7% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 4.4% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 1.6% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 39%AI helps 51%AI does it 10%
How exposed is it?

Still needs a human: 67/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 39% needs a human, 51% AI helps, 10% AI does it. Still needs a human: 67/100 ↑ safer. Will AI replace them? A little.

People are asking

How often people ask whether AI will replace this job: on Google, and by estimate, in AI assistants.

In the US

20
Google searches a month, 12-month average to August 2026
Google searches a month, September 2025 to August 2026: from 20 to 10
1
estimated questions to AI assistants in September 2026
Estimated questions to AI assistants a month, October 2025 to September 2026: from 2 to 1
0.21
Google searches a month for every 1,000 people in the job
127th of 197 among all jobs we have search data for

In the UK

20
Google searches a month, 12-month average to August 2026
0.55
Google searches a month for every 1,000 people in the job in the UK (estimated)
92nd of 197 among jobs we have UK search data for

Source: DataForSEO, US and UK, fetched October 3, 2026. Google figures are Google Ads’ rounded monthly averages. The AI figure is DataForSEO’s estimate from Google’s “People also ask” data, not a count from any AI assistant. UK workers are ONS employment figures matched to this job, so the UK rate per 1,000 is an estimate. Search figures are not part of our open dataset.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 67/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI will automate some design, simulation, testing, and documentation tasks, but electronics engineers will still be needed for system architecture, trade-offs, validation, safety, and real-world hardware decisions.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudeNo

AI will significantly augment electronics engineering workflows (design automation, simulation, debugging) but won't replace the creativity, physical intuition, and judgment required for novel hardware design within the next decade.

claude-sonnet-5 · asked 2026-10-03
GeminiPartly

AI will automate routine tasks like schematic generation and PCB routing, shifting engineers toward complex system architecture, physical validation, and creative problem-solving rather than replacing them entirely.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will automate many routine electronics-engineering tasks, but human engineers will remain essential for system-level judgment, physical validation, safety, and accountability.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Electronics Engineers, Except Computer? A little. Still needs a human: 67/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/electronics-engineers-except-computer/ (accessed 3 October 2026).

Scores change with each , so cite the release. The data is open under : credit NeedsAHuman.com with a link. Open data · Press

Put the badge on your site

The badge updates itself with each release and links back to this page.

Sources

  • Tasks and work context: 31.0, ().
  • Jobs, pay and projections: US , and 2025–35.
  • How AI is used today: ; Microsoft Research, .
  • What AI can do: our task ratings ( r1) and the quality evidence register.
  • UK names and employment: coding index and .

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.