Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Eng. Techs & Technicians:
51.2%
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%).
Med
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%).
Med
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 forEngineering Technologists and Technicians, Except Drafters, All Other
$78,350 median salary•5,400 annual openings•SOC Code: 17-3029.00
Engineering Technologists and Technicians, Except Drafters, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled "Mostly Resilient" because while AI is taking over some of the repetitive, data-heavy tasks (like logging and analyzing test results in spreadsheets), the hands-on, physical work of assembling and troubleshooting fuel cell systems is much harder for machines to replicate. The unpredictable, site-specific nature of real-world technical problems means employers still need human judgment, sharp instincts, and skilled hands on the job.
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This career is labeled "Mostly Resilient" because while AI is taking over some of the repetitive, data-heavy tasks (like logging and analyzing test results in spreadsheets), the hands-on, physical work of assembling and troubleshooting fuel cell systems is much harder for machines to replicate. The unpredictable, site-specific nature of real-world technical problems means employers still need human judgment, sharp instincts, and skilled hands on the job.
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Eng. Techs & Technicians
Updated Quarterly
How is AI changing Eng. Techs & Technicians jobs?
If you're studying to become an engineering technologist or technician who works on things like fuel cells, here's the honest picture: AI is showing up in your field, but mostly as a helper — not a replacement. The task with the highest automation score in this role, documenting and analyzing test data in spreadsheets, is exactly the kind of repetitive number-crunching that machine learning does well. A 2026 systematic review in RSC Advances [1] explains that AI and machine learning are being used to identify crucial parameters and optimize the membrane electrode assembly in fuel cells, drastically cutting down the time and effort needed for experimental testing.
On the shop floor, Deloitte data cited in a 2026 engineering-workforce report [2] shows AI-driven predictive maintenance can boost equipment uptime by up to 20% and reduce maintenance costs by 10–25%. The hands-on assembly task (with only 12% automation potential) is much harder to hand off to a robot because fuel cell stacks require careful, precise human work. Technician roles remain among the most AI-resistant jobs due to their hands-on, site-specific nature and unpredictable troubleshooting demands, and employers increasingly need technicians who can interpret data, validate diagnoses, and execute repairs [3].
Sources
How fast is AI adoption growing for Eng. Techs & Technicians?
Adoption will probably be steady but not overnight. The tools are commercially ready — IEEE Spectrum notes [4] that AI is already shifting job responsibilities for early-career engineers, requiring more higher-order thinking and collaboration skills. But there are speed bumps: many industrial companies still run on a patchwork of small-group expertise, spreadsheets, and fragmented databases, which makes rolling out AI harder.
Labor shortages actually push adoption forward — the U.S. Bureau of Labor Statistics projects that electrical and electronic engineering technologists and technicians will grow 3.0 percent from 2023 to 2033 [5], and companies short on skilled people are eager for tools that make each technician more productive. Safety and accountability rules (like EPA certifications) also mean humans stay legally on the hook for the work. The bottom line: your data-analysis tasks will likely become AI-assisted, but your hands, judgment, and troubleshooting instincts are exactly what employers still need.
Sources
Will AI replace Eng. Techs & Technicians?
No. We don't think AI will replace Engineering Technologists and Technicians, Except Drafters, All Other, though we do expect the job to change.
Our data gives this role a 51.2% AI Resilience Score, landing it in "Mostly Resilient" territory. That reflects a real split: some tasks are clearly in AI's wheelhouse, while others are much harder to hand off. Repetitive work like logging and analyzing test data is already being streamlined by machine learning tools [1], and AI-driven predictive maintenance is reshaping how equipment is monitored on the floor [2]. Those shifts are real and worth taking seriously.
What stays human is equally real. Hands-on assembly, site-specific troubleshooting, and the unpredictable judgment calls that come with physical systems are genuinely hard to automate [3]. Safety regulations and legal accountability also keep humans in the loop. AI is increasingly shifting early-career engineering roles toward higher-order thinking and collaboration rather than eliminating them [4].
The job market picture is moderate, not booming, so we wouldn't oversell the outlook. But the honest read is that technicians who learn to work alongside AI tools, interpreting data and validating diagnoses rather than just collecting numbers, will be more valuable, not less. The role is changing. It is not disappearing.
Sources
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Latest AI news for Eng. Techs & Technicians
These AI-related articles highlight both the challenges and opportunities for Engineering Technologists and Technicians, Except Drafters. For instance, automation may impact job roles, as noted in the elevated AI risk score of 42, yet AI can also enhance workforce development in manufacturing. Innovations like predictive maintenance and generative design promise to improve efficiency, creating new avenues for skilled technicians. Embracing AI as a tool rather than a replacement can foster resilience in this field, ensuring that technologists remain vital contributors to the evolving engineering landscape.
Will AI Replace Mechanical Engineering Technologists and ...
www.replacedbai.com • 9/20/2026
Mechanical Engineering Technologists and Technicians have a high AI replacement risk (60/100). See what AI can automate, what still needs humans, and how to ...
Will AI Replace Engineering Technologists and Technicians ...
www.aiexposure.org • 9/20/2026
Engineering Technologists and Technicians, Except Drafters, All Other have a composite AI automation risk score of 42 out of 100, classified as "Elevated". How ... Read more
The Impact of AI in Engineering: Key Applications and Trends
engineeringmastersonline.rutgers.edu • 9/20/2026
Jun 26, 2025 — AI is transforming engineering with innovations in smart manufacturing, predictive maintenance, and generative design, driving efficiency ...
Will AI Replace Engineering Technicians Jobs?
jobzonerisk.com • 9/20/2026
See which engineering technicians roles are most at risk from AI. Evidence-based scores and practical recommendations for every assessed role.
Expanding the skilled manufacturing workforce with AI
www.deloitte.com • 9/13/2026
AI could help US manufacturers tackle their biggest workforce challenge: finding and developing skilled technicians.
More Career Info
Career: Engineering Technologists and Technicians, Except Drafters, All Other
They assist engineers by testing and maintaining equipment, solving technical problems, and ensuring projects run smoothly and efficiently.
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Similar Careers
Employment & Wage Data
Median Wage
$78,350
Jobs (2025)
62,400
Growth (2025-35)
+2.8%
Annual Openings
5,400
Education
Associate'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
Assemble fuel cells or fuel cell stacks according to mechanical or electrical assembly documents or schematics.
2
Install or test spark ignition (SI) or compression ignition (CI) engines.
3
Perform electrochemical performance or durability testing of solid oxide fuel cells.
4
Perform routine vehicle maintenance procedures, such as part replacements or tune-ups.
5
Install, calibrate, or operate emissions analyzers, cell assist software, fueling systems, or air conditioning systems in engine testing systems.
6
Perform routine or preventive maintenance on fuel cell test equipment.
7
Test fuel cells or fuel cell stacks, using complex electronic equipment.
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.
