Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Robotics Engineers:
64.1%
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%).
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.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
AI Resilience Report forRobotics Engineers
$117,750 median salary•9,300 annual openings•SOC Code: 17-2199.08
Robotics Engineers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Robotics engineering is labeled "Mostly Resilient" because AI is acting more like a helpful tool than a replacement, taking over routine tasks like sensor data processing and documentation so engineers can focus on higher-level problem solving, design decisions, and oversight. The field is actually growing fast, with projections showing 9% to 11% growth in related engineering jobs through 2034, driven in part by a global shortage of workers with the specialized skills this career requires.
Learn more about how you can thrive in this position
This role is mostly resilient
Robotics engineering is labeled "Mostly Resilient" because AI is acting more like a helpful tool than a replacement, taking over routine tasks like sensor data processing and documentation so engineers can focus on higher-level problem solving, design decisions, and oversight. The field is actually growing fast, with projections showing 9% to 11% growth in related engineering jobs through 2034, driven in part by a global shortage of workers with the specialized skills this career requires.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Robotics Engineers
Updated Quarterly

How is AI changing Robotics Engineers jobs?
If you're considering a career in robotics engineering, here's some reassuring news: AI is mostly helping robotics engineers do their jobs better, not replacing them. The International Federation of Robotics says AI is transforming robotics at a rapid pace by enhancing capabilities, increasing efficiency, and improving adaptability — moving AI from a supporting technology into a powerful enabler that opens the door to wider robot adoption. In practice, AI now handles many of the routine tasks listed in this role: sensor-data processing, generating documentation, and producing event-timing charts.
A World Economic Forum panel noted that AI enables code generation so engineers no longer need to program machines line by line and can focus on product enhancements, which directly augments debugging and prototype-analysis work [1]. Deloitte explains that vision-language-action (VLA) models let robots move from performing pre-programmed tasks to understanding context and making decisions autonomously, with examples like NVIDIA's open foundational model and Figure AI's Helix already being used to augment robotics development in the United States [2].
Sources

How fast is AI adoption growing for Robotics Engineers?
Adoption is moving fast, but real-world deployment still depends heavily on humans. Deloitte predicts that cumulative installed industrial robots will surpass 5 million units in 2025 and could reach 5.5 million by 2026, but warns that unless the ecosystem addresses bottlenecks in data quality, integration, and cybersecurity, market growth will stay modest [2]. Two big economic forces are pushing adoption: employers worldwide are struggling to find people with specialized skills, leaving staff covering extra shifts, and a key strategy for addressing this is adopting robotics and automation.
Meanwhile, the U.S. Bureau of Labor Statistics projects faster-than-average growth for engineering jobs [3] tied to robotics, with industrial engineers growing 11% and mechanical engineers 9.1% through 2034. Social and ethical concerns slow things down too: deep-learning "black box" models can produce results that are difficult or impossible to explain even to their developers, and legal and ethical ambiguity around liability has prompted calls for clear governance frameworks. That's actually good news for you — robotics engineers earn an average base salary around $114,000 [4], and the human judgment needed to supervise, certify, and debug AI-powered robots is exactly what keeps this career resilient.
Sources

Will AI replace Robotics Engineers?
No. We don't think AI will replace Robotics Engineers, though we do expect the job to change.
Our 64.1% AI Resilience Score reflects a career that is holding up well, and for good reason. AI is already handling routine work like sensor-data processing, documentation, and code generation, so engineers no longer need to program machines line by line and can focus on higher-level product improvements [1]. Tools like vision-language-action models are also helping robots move from pre-programmed actions to context-aware decisions, which augments what engineers can build rather than replacing the people building it [2].
What stays human is the harder stuff: supervising AI systems, catching failures, navigating liability questions, and making judgment calls that "black box" models cannot explain even to their own developers [2]. Those responsibilities require exactly the kind of accountability and expertise that a machine cannot own.
The economic picture supports staying in this field. Deloitte projects cumulative installed industrial robots could reach 5.5 million units by 2026, and employers are actively struggling to find people with specialized skills, which keeps demand real. Engineering roles tied to robotics are also growing faster than average through 2034 [3], and an average base salary around $114,000 signals that the market still values this work highly [4].
Sources

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Latest AI news for Robotics Engineers
These articles highlight the evolving landscape for robotics engineers amid the AI revolution. The "EB-2 NIW" piece discusses how AI and robotics support national interests, indicating strong career prospects in manufacturing. Jensen Huang emphasizes that robotics will be central to the new industrial revolution, suggesting that roles in this field will thrive. Additionally, NVIDIA's advancements in robotics platforms showcase the demand for engineers skilled in AI-driven technologies, providing a hopeful outlook for future opportunities in the sector. Embracing AI resilience can position students for success in this dynamic career path.

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Nvidia CEO Jensen Huang says this career path will thrive in the AI era—and drive a new industrial revolution
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Jensen Huang went from washing dishes at Denny's to building the world's most valuable company. Now, he says, the field he studied in...

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EB-2 NIW and Next-Generation Manufacturing: How AI and Robotics Work Supports the National Interest in 2026
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EB-2 National Interest Waiver has become an increasingly relevant pathway for manufacturing engineers, AI engineers, and robotics...
More Career Info
Career: Robotics Engineers
They design and build robots to perform tasks, solve problems, and make life easier, often working on both the software and hardware of the robots.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$117,750
Jobs (2024)
158,800
Growth (2024-34)
+2.1%
Annual Openings
9,300
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
Supervise, technologists, technicians, or other engineers.
2
Debug robotics programs.
3
Analyze and evaluate robotic systems or prototypes.
4
Integrate robotics with peripherals, such as welders, controllers, or other equipment.
5
Conduct research into the feasibility, design, operation, or performance of robotic mechanisms, components, or systems, such as planetary rovers, multiple mobile robots, reconfigurable robots, or man-...
6
Install, calibrate, operate, or maintain robots.
7
Automate assays on laboratory robotics.
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.
