Resilient
Last Update: 8/30/2026
AI Resilience Score for Human Factors Engineer:
72.7%
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.
Med
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forHuman Factors Engineers and Ergonomists
$102,440 median salary•23,100 annual openings•SOC Code: 17-2112.01
Human Factors Engineers and Ergonomists are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Human factors engineers and ergonomists earn a "Resilient" label because the heart of their work, which is understanding how real people think, move, and experience their environments, requires empathy, ethical judgment, and human insight that AI simply cannot replicate. While AI is genuinely useful for tasks like analyzing video footage, crunching large datasets, and flagging injury risks, ergonomists still need to step in to interpret those findings, advocate for workers, and make sure the recommendations actually fit the messy, complicated reality of human lives.
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Human factors engineers and ergonomists earn a "Resilient" label because the heart of their work, which is understanding how real people think, move, and experience their environments, requires empathy, ethical judgment, and human insight that AI simply cannot replicate. While AI is genuinely useful for tasks like analyzing video footage, crunching large datasets, and flagging injury risks, ergonomists still need to step in to interpret those findings, advocate for workers, and make sure the recommendations actually fit the messy, complicated reality of human lives.
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Human Factors Engineer
Updated Quarterly
How is AI changing Human Factors Engineer jobs?
Right now, AI in the human factors and ergonomics world is showing up mostly as an assistant, not a replacement. According to a 2026 industry review, ergonomics is undergoing a "democratization," with automated data collection methods that reduce the need for manual observation, algorithmically generated ergonomic risk profiles that provide faster insights, and AI-generated recommendations for improving workplace design and reducing risk. Much of this runs on computer vision cameras and AI software that can now capture and analyze kinematic data, such as joint angles and movement patterns, without requiring wearable markers or manual input, plus wearable sensors and VR training.
Predictive analytics is also gaining ground, with AI tools analyzing large datasets to forecast where injuries are likely to occur [1].
At the 2026 HFES Health Care Symposium [2], practitioners voiced a "love-hate" rather than "wow, amazing" relationship with AI, noting it is valuable for preliminary analyses of large data sets — for example, scouring thousands of reported adverse events — but that leveraging AI for user research and usability testing can lead to "losing intimacy" with the data. Importantly, AI is still falling short when it comes to generating key technical documentation, including protocols and reports. A special issue of the journal Ergonomics [3] frames the shift as fundamentally reshaping how humans build trust in AI, how tasks are dynamically allocated between humans and machines, and how workplace structures are reorganized around human-AI partnerships.
Sources
How fast is AI adoption growing for Human Factors Engineer?
Adoption is accelerating but uneven. On the "faster" side, AI-powered safety tools [4] were a headline topic at ASSP Safety 2026, where the expo floor featured exhibitors showcasing innovations in PPE, industrial hygiene, wearable technology, AI-powered safety solutions, heat stress prevention and monitoring technologies — showing that commercial products are widely available. Labor economics also push adoption: the World Economic Forum [5] describes a "co-pilot economy" scenario where AI enhances human expertise rather than replacing it, and tight labor markets make automated screening attractive.
On the "slower" side, human judgment is still essential. Ergonomists tell clients that AI should be viewed as an assistance tool, not a replacement for expertise [1], because poor data or misapplied algorithms can produce misleading conclusions — and safety mistakes have legal consequences. Career prospects remain strong: the U.S. Bureau of Labor Statistics [6] reports that employment of industrial engineers, which includes human factors engineers, is projected to grow 12 percent from 2025 to 2035, much faster than the average for all occupations.
The bottom line for students: AI will handle more of the number-crunching and video analysis, but the empathy, ethics, and advocacy skills that make a great ergonomist — designing safer, kinder workplaces for real people — are exactly the parts machines still can't do well.
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 day-to-day work to shift in meaningful ways.
AI is already changing how ergonomists collect and analyze data. Computer vision tools can now capture joint angles and movement patterns without wearable markers, and predictive analytics can flag injury risks across large datasets before problems occur [1]. Practitioners at a 2026 industry symposium described their relationship with AI as "love-hate," finding it useful for scanning thousands of adverse event reports but falling short when generating key technical documentation like protocols and reports [2]. In other words, AI handles more of the number-crunching, but the professional judgment stays human.
That human judgment is exactly what keeps this career resilient. Ergonomists themselves caution that poor data or misapplied algorithms can produce misleading conclusions, and safety mistakes carry real legal consequences [1]. The World Economic Forum frames the broader shift as a "co-pilot economy" where AI enhances expertise rather than replacing it [5]. The labor market backs this up: employment in this field is projected to grow 12 percent from 2025 to 2035, much faster than average [6]. Our 72.7% AI Resilience Score reflects all of this. The empathy, ethics, and advocacy at the heart of this work are still very much human territory.
Sources
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Latest AI news for Human Factors Engineer
These articles provide valuable insights for students pursuing careers in Human Factors Engineering and Ergonomics. The exploration of human-robot cooperation highlights the importance of designing intuitive interfaces for collaborative robots, emphasizing the need for effective user training. Additionally, discussions on trust in AI underline the necessity for engineers to develop systems that enhance human performance rather than disrupt it. By understanding these dynamics, students can position themselves as essential players in creating resilient human-AI interactions, ensuring safety and efficiency in various applications.
Rethinking Artificial Intelligence at the Strategic Frontier
smallwarsjournal.com • 5/22/2026
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.
Trust in AI: progress, challenges, and future directions | Humanities and Social Sciences Communications
www.nature.com • 11/18/2024
The increasing use of artificial intelligence (AI) systems in our daily lives through various applications, services, and products highlights the...
Mica Endsley Of Human Factors and Ergonomics Society On the Future of Artificial Intelligence
medium.com • 8/1/2024
Hindering Effective Human Performance: AI can disrupt things that already work well with people. With too many companies making big promises...
Exploring human-robot cooperation with gamified user training: a user study on cooperative lifting
www.frontiersin.org • 6/25/2024
Human-robot cooperation (HRC) is becoming increasingly relevant with the surge in collaborative robots (cobots) for industrial applications.
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.
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Similar Careers
Employment & Wage Data
Median Wage
$102,440
Jobs (2025)
365,100
Growth (2025-35)
+12.4%
Annual Openings
23,100
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Operate testing equipment, such as heat stress meters, octave band analyzers, motion analysis equipment, inclinometers, light meters, thermoanemometers, sling psychrometers, or colorimetric detection ...
2
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.
3
Advocate for end users in collaboration with other professionals, including engineers, designers, managers, or customers.
4
Investigate theoretical or conceptual issues, such as the human design considerations of lunar landers or habitats.
5
Integrate human factors requirements into operational hardware.
6
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 system...
7
Collect data through direct observation of work activities or witnessing the conduct of tests.
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.
