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needsahuman.

Will AI replace human factors engineers and ergonomists?

A little.

This job scores 70 out of 100 on (higher is safer). Today AI could do about 2% of the work by itself, people do 62% with AI’s help, and 36% still needs a person.

Updated 3 October 2026 17-2112.01 2129 2026-Q4
Architecture and EngineeringHuman Factors Engineers and Ergonomists17-2112.01 · 2026-Q4
2% AI does it62% AI helps36% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 36%AI helps 62%AI does it 2%

AI does it: AI can do the task largely by itself. AI helps: a person still does it, faster with AI. Needs a human: AI can do little of it yet.

Each ridge is a slice of the job's task time.Needs a human 36%AI helps 62%AI does it 2%
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.

Human Factors Engineers and Ergonomists, O*NET-SOC 17-2112.01. 36% of the job’s task time still needs a human, so 36 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 , and where AI stands on each today: , (a person does it, with AI speeding it up) or . 36% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 36%AI helps 62%AI does it 2%
The job's task list: the parts AI can do are blacked out.Needs a human 36%AI helps 62%AI does it 2%
Collect data through direct observation of work activities or witnessing the conduct of tests.Needs a human
Conduct interviews or surveys of users or customers to collect information on topics, such as requirements, needs, fatigue, ergonomics, or interfaces.AI helps
Advocate for end users in collaboration with other professionals, including engineers, designers, managers, or customers.Needs a human
Inspect work sites to identify physical hazards.Needs a human
Prepare reports or presentations summarizing results or conclusions of human factors engineering or ergonomics activities, such as testing, investigation, or validation.AI helps
Recommend workplace changes to improve health and safety, using knowledge of potentially harmful factors, such as heavy loads or repetitive motions.AI helps
Perform functional, task, or anthropometric analysis, using tools, such as checklists, surveys, videotaping, or force measurement.Needs a human
Provide technical support to clients through activities, such as rearranging workplace fixtures to reduce physical hazards or discomfort or modifying task sequences to reduce cycle time.Needs a human
Assess the user-interface or usability characteristics of products.AI helps
Establish system operating or training requirements to ensure optimized human-machine interfaces.AI helps
Integrate human factors requirements into operational hardware.Needs a human
Review health, safety, accident, or worker compensation records to evaluate safety program effectiveness or to identify jobs with high incidence of injury.AI helps
Design or evaluate human work systems, using human factors engineering and ergonomic principles to optimize usability, cost, quality, safety, or performance.AI helps
Write, review, or comment on documents, such as proposals, test plans, or procedures.AI helps
Train users in task techniques or ergonomic principles.Needs a human
Conduct research to evaluate potential solutions related to changes in equipment design, procedures, manpower, personnel, or training.AI helps
Provide human factors technical expertise on topics, such as advanced user-interface technology development or the role of human users in automated or autonomous sub-systems in advanced vehicle systems.AI helps
Develop or implement human performance research, investigation, or analysis protocols.AI helps
Develop or implement research methodologies or statistical analysis plans to test and evaluate developmental prototypes used in new products or processes, such as cockpit designs, user workstations, or computerized human models.AI helps
Estimate time or resource requirements for ergonomic or human factors research or development projects.AI helps
Design cognitive aids, such as procedural storyboards or decision support systems.AI helps
Analyze complex systems to determine potential for further development, production, interoperability, compatibility, or usefulness in a particular area, such as aviation.AI helps
Investigate theoretical or conceptual issues, such as the human design considerations of lunar landers or habitats.AI does it
Operate testing equipment, such as heat stress meters, octave band analyzers, motion analysis equipment, inclinometers, light meters, thermoanemometers, sling psychrometers, or colorimetric detection tubes.Needs a human
Perform statistical analyses, such as social network pattern analysis, network modeling, discrete event simulation, agent-based modeling, statistical natural language processing, computational sociology, mathematical optimization, or systems dynamics.AI helps
Apply modeling or quantitative analysis to forecast events, such as human decisions or behaviors, the structure or processes of organizations, or the attitudes or actions of human groups.AI helps

Is it better than a person? The evidence

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

When could it be replaced?

When AI could largely do this job: 2037–2051

Most likely between 2037 and 2051 (8 in 10 of our scenarios). A range from our of how fast AI improves, how fast employers take it up and what holds it back, not a forecast that the job ends. “” has a strict meaning here. Today’s answer is at the top of the page; this is how it could change.

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 behind its .

Today
Will AI replace this job?
A little.
By 2045
80%
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: 50.0% of scenarios: AI could do a little of this job (A little.)50%2030: 50.0% of scenarios: AI could partly do this job (Partly.)50%20302035: 40.0% of scenarios: AI could partly do this job (Partly.)40%2035: 50.0% of scenarios: AI could mostly do this job (Mostly.)50%2035: 10.0% of scenarios: AI could largely do this job (Largely.)10%20352040: 10.0% of scenarios: AI could partly do this job (Partly.)10%2040: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%2040: 60.0% of scenarios: AI could largely do this job (Largely.)60%20402045: 20.0% of scenarios: AI could mostly do this job (Mostly.)20%2045: 80.0% of scenarios: AI could largely do this job (Largely.)80%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%50.0%50.0%0.0%
203510.0%50.0%40.0%0.0%0.0%
204060.0%30.0%10.0%0.0%0.0%
204580.0%20.0%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 work context, licensing and the evidence we have.

LiabilityMistakes are rated 2.6 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 4.6 and physical closeness 3.5 out of 5; caring for or serving people is 2.4 out of 5 in importance.
RegulationWorkers rate responsibility for others' health and safety 3.8 out of 5.
LicensingUsual entry requirement (BLS): bachelor's degree.
Physical work13% of the task time is physical; robots have been shown on 64% of that time.

What would it cost to hand the work to AI?

The share of the year AI could handle (657 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$70–$6,570
A person’s wage for the same hours
$23,500–$50,520

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.

13%
of the task time is physical work
Dexterous humanoid
the kind of robot the physical work would need
Not commercial: no cited robot does most of this work; humanoids are at demonstration and pilot stage.

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 36%AI helps 62%AI does it 2%
Writing · 12.8% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 41.1% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 0% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 12.5% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 5% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 6.6% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 12.8% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 9.4% 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 36%AI helps 62%AI does it 2%
How exposed is it?

Still needs a human: 70/100↑ 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: 36% needs a human, 62% AI helps, 2% AI does it. Still needs a human: 70/100 ↑ 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

Under 10
Google searches a month, 12-month average to
2
estimated questions to AI assistants in September 2026
Estimated questions to AI assistants a month, October 2025 to September 2026: from 0 to 2

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: 70/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI will automate many analysis, prototyping, and testing tasks, but human factors engineers will still be needed for judgment, ethics, context, and human-centered design decisions.

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

AI will augment human factors engineering by automating data analysis and generating design suggestions, but the discipline's core work—understanding nuanced human cognition, context-dependent behavior, and ethical tradeoffs in real-world systems—requires human judgment that AI cannot yet replicate.

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

While AI will automate routine data analysis and user-testing simulations, human factors engineers will remain essential for interpreting complex human behaviors, conducting physical ergonomic evaluations, and making nuanced, safety-critical design decisions.

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

AI will automate routine human-factors tasks, but engineers will remain essential for judgment, empathy, fieldwork, accountability, and human-centered design.

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 Human Factors Engineers and Ergonomists? A little. Still needs a human: 70/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/human-factors-engineers-and-ergonomists/ (accessed 4 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.