Highly Resilient
Last Update: 6/19/2026
AI Resilience Score for Human Factors Engineer:
80.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forHuman Factors Engineers and Ergonomists
$101,140 median salary•25,200 annual openings•SOC Code: 17-2112.01
Human Factors Engineers and Ergonomists are much more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled "Highly Resilient" because the most important parts of the job rely on deeply human skills that AI simply cannot replicate, including empathy, judgment, and the ability to truly understand how real people experience their work environments. While AI tools are great at automating the repetitive, data-heavy tasks (like scoring posture risks from camera footage), they still fall short when it comes to writing thoughtful reports, designing creative solutions, and building genuine understanding of the people being studied.
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This career is labeled "Highly Resilient" because the most important parts of the job rely on deeply human skills that AI simply cannot replicate, including empathy, judgment, and the ability to truly understand how real people experience their work environments. While AI tools are great at automating the repetitive, data-heavy tasks (like scoring posture risks from camera footage), they still fall short when it comes to writing thoughtful reports, designing creative solutions, and building genuine understanding of the people being studied.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Human Factors Engineer
Updated Quarterly
How is AI changing Human Factors Engineer jobs?
AI is already changing how human factors engineers and ergonomists do parts of their job — but mostly as an assistant, not a replacement. Computer vision tools can now watch a worker through a regular camera and automatically score posture risk using standard checklists like REBA, replacing hours of manual stopwatch-and-clipboard observation; a 2026 study of metal-polishing operators used an AI vision tool to flag moderate, high, and very high musculoskeletal risk levels across workers' upper arms, neck, and trunk (non-intrusive assessment suitable for industrial deployment [1]). Industry reports describe a similar shift toward automated data collection, algorithmically generated ergonomic risk profiles, and AI-generated recommendations [2] for workplace design, often paired with wearable sensors and VR training.
At the same time, practitioners at the 2026 HFES Health Care Symposium reported a "love-hate" rather than "wow, amazing" relationship with AI [3], noting that AI still falls short at writing protocols and reports and that relying on it for user-research data risks "losing intimacy" with users — the human judgment part of the job remains firmly human.
Sources
How fast is AI adoption growing for Human Factors Engineer?
Adoption is moving quickly for the repetitive, data-heavy parts of the role because the tools are commercially available and cheap compared to a full ergonomist visit, which historically made programs time-consuming, expensive, and difficult to scale [2] across large workforces. Software vendors and consultants are pushing predictive analytics for injury prevention, and engineering leaders broadly expect agentic AI to handle first drafts of routine workflows in 2026 [4], freeing humans to review and think bigger. But several brakes will slow full automation: safety-critical industries demand human oversight, and the Human Factors and Ergonomics Society is actively shaping policy — its members helped push for a report on the safety and oversight of AI in medical devices [5] inside the FY 2026 federal budget.
Cameras also struggle in clean rooms, spark-risk areas, or jobs with long variable cycles, and AI should be viewed as an assistance tool, not a replacement for expertise [2] because poor data or misapplied algorithms can mislead.
The hopeful takeaway: if you're curious about this career, AI is turning ergonomists into higher-leverage problem-solvers. The screen-time and tally-counting parts shrink, while the parts that need empathy, judgment, regulatory know-how, and creative design — the reasons people enter this field in the first place — become even more valuable.
Sources
Will AI replace Human Factors Engineer?
No. We don't think AI will replace Human Factors Engineers and Ergonomists, but we do expect the repetitive parts of the job to shrink fast.
AI is already handling the clipboard-and-stopwatch work. Computer vision tools can now watch workers through a regular camera and automatically score posture risk, flagging musculoskeletal danger across the upper arms, neck, and trunk without interrupting the job [1]. Predictive analytics and AI-generated risk profiles are also spreading quickly because they make programs cheaper and easier to scale across large workforces [2]. That shift is real and it is accelerating.
But the core of this career is stubbornly human. Practitioners at a 2026 symposium noted that AI still falls short at writing protocols and reports, and that leaning on it for user-research data risks losing the intimacy with real users that makes the work meaningful [3]. Safety-critical industries require human oversight, and the Human Factors and Ergonomics Society is actively shaping policy around AI in medical devices [5]. The judgment, empathy, and regulatory know-how that define this field are not going anywhere.
Our 80.9% AI Resilience Score reflects all of this. The tedious parts get automated, the human parts get more valuable, and demand for people who can do both looks healthy through 2034.
Sources
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Latest AI news for Human Factors Engineer
These articles highlight the evolving role of Human Factors Engineers in the age of AI, showcasing opportunities for career growth and innovation. Jenna Korentsides’ success at Apple illustrates how specialized skills in human factors can lead to fulfilling positions in tech. Meanwhile, the focus on human-AI teaming in defense underscores the need for design centered on human interaction, critical for enhancing trust and decision-making. Embracing AI resilience will be essential for students, as they learn to integrate AI into ergonomic solutions across various industries.
Rethinking Artificial Intelligence at the Strategic Frontier
smallwarsjournal.com • 5/20/2026
AI in defense shifts from tools to human-AI teaming; interaction-centered design improves trust, decisions, and security outcomes in complex...
Embry-Riddle Graduate Students Turn Human Factors and AI Research into Internship, Career Success
erau.edu • 11/21/2025
Recent Human Factors Ph.D. graduate Jenna Korentsides has landed her dream job working as a Human Factors engineer at Apple.
The imperative of AI guardrails: A human factors perspective
federalnewsnetwork.com • 8/12/2024
With the surge of consumer-facing AI tools and systems such as ChatGPT and others, we are witnessing the insertion of AI into our lives in...
Diffusion of AI value-driven services in the German manufacturing industries—an empirical examination of value-driven service references classified by the business Model Canvas
www.frontiersin.org • 7/25/2024
This study investigates the diffusion of AI-based service applications within the business models of German manufacturing industries, surveying 162 decision-...
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
www.nature.com • 5/18/2022
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical,...
More Career Info
Career: Human Factors Engineers and Ergonomists
They design products and workplaces to be more comfortable and safe by studying how people interact with them.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$101,140
Jobs (2024)
351,100
Growth (2024-34)
+11.0%
Annual Openings
25,200
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Integrate human factors requirements into operational hardware.
2
Prepare reports or presentations summarizing results or conclusions of human factors engineering or ergonomics activities, such as testing, investigation, or validation.
3
Design or evaluate human work systems, using human factors engineering and ergonomic principles to optimize usability, cost, quality, safety, or performance.
4
Investigate theoretical or conceptual issues, such as the human design considerations of lunar landers or habitats.
5
Develop or implement human performance research, investigation, or analysis protocols.
6
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.
7
Train users in task techniques or ergonomic principles.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
