Will AI replace robotics engineers?
Updated
Robotics engineers score 51 out of 100 for AI exposure. AI helps with 73% of their task time, and they stay in charge. AI can do another 13%. 14% needs a person.
- 13% AI can do it
- 73% AI helps
- 14% Needs a person
High exposure
Higher than 77% of the 923 jobs we scored.
Task by task
We graded 24 tasks, most exposed first. AI can do 3 of them, helps with 18 and leaves 3 to people.
| Task | AI exposure |
|---|---|
| Document robotic application development, maintenance, or changes. Drafting documentation and change logs is routine text work. | 75% AI can do it |
| Create back-ups of robot programs or parameters. Scheduled scripts can back up programs; person verifies completion. | 70% AI can do it |
| Make system device lists or event timing charts. Device lists and timing charts generated from existing specs. | 70% AI can do it |
| Write algorithms or programming code for ad hoc robotic applications. Code assistants draft robot code; engineers test on hardware. | 65% AI helps |
| Debug robotics programs. Coding assistants find bugs fast; hardware testing still needs people. | 62% AI helps |
| Design software to control robotic systems for applications, such as military defense or manufacturing. Code assistants draft control software; safety validation stays human. | 60% AI helps |
| Process or interpret signals or sensor data. Signal processing code and ML speed analysis; engineer interprets results. | 55% AI helps |
| Provide technical support for robotic systems. AI answers routine questions from manuals; onsite fixes need people. | 45% AI helps |
| Design robotic systems, such as automatic vehicle control, autonomous vehicles, advanced displays, advanced sensing, robotic platforms, computer vision, or telematics systems. AI assists design analysis and simulation; core choices stay human. | 40% AI helps |
| Design automated robotic systems to increase production volume or precision in high-throughput operations, such as automated ribonucleic acid (RNA) analysis or sorting, moving, or stacking production materials. Simulation and layout design assisted; line commissioning needs people. | 40% AI helps |
Show the other 14 tasks
| Task | AI exposure |
|---|---|
| Plan mobile robot paths and teach path plans to robots. Path algorithms assist planning; on robot teaching stays human. | 40% AI helps |
| Automate assays on laboratory robotics. Protocol scripting assisted; physical lab setup needs people. | 40% AI helps |
| Evaluate robotic systems or prototypes. AI helps analyze test data; prototype trials remain physical. | 37% AI helps |
| Review or approve designs, calculations, or cost estimates. AI checks calculations and cost math; engineer is responsible for approval. | 36% AI helps |
| Design robotics applications for manufacturers of green products, such as wind turbines or solar panels, to increase production time, eliminate waste, or reduce costs. Process design assisted; factory trials and tuning need engineers. | 35% AI helps |
| Conduct research on robotic technology to create new robotic systems or system capabilities. Literature review and ideation assisted; physical experiments stay human. | 34% AI helps |
| 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-machine interactions. Feasibility studies and simulations assisted; hardware experiments stay human. | 33% AI helps |
| Design end-of-arm tooling. CAD assistance helps, but physical fit and testing need engineers. | 30% AI helps |
| Integrate robotics with peripherals, such as welders, controllers, or other equipment. Physical hookup stays human; PLC and config code gets assisted. | 28% AI helps |
| Design or program robotics systems for environmental clean-up applications to minimize human exposure to toxic or hazardous materials or to improve the quality or speed of clean-up operations. Control software assisted; hazardous site deployment stays human. | 28% AI helps |
| Build, configure, or test robots or robotic applications. Physical building stays human; config and test scripts assisted. | 25% AI helps |
| Investigate mechanical failures or unexpected maintenance problems. Failed hardware needs physical inspection; logs help only partly. | 18% Needs a person |
| Supervise technologists, technicians, or other engineers. Leading and mentoring people is core human work. | 10% Needs a person |
| Install, calibrate, operate, or maintain robots. Physical installation and calibration on machines needs skilled hands. | 6% Needs a person |
How robotics engineers compare
All jobs (923)
Architecture and engineering (56)
Pay and outlook in the US
- Median pay
- $122,930 a year, May 2025
- People employed
- 19,259 in the US, May 2025
- Projected change in jobs
- +3.7% from 2024 to 2034
Skills to build
- Calibrate and maintain robots on the production floor
- Debug robot control code on physical hardware in C++
- Model robot kinematics in MATLAB and SolidWorks
- Integrate PLCs, welders, and controllers with robot cells
- Validate AI-drafted control software on Linux test rigs
- Investigate mechanical failures through physical inspection
Safer roles nearby
5 related jobs with lower scores.
Questions about robotics engineers and AI
Will robotics engineers be replaced by AI?
Partly. About 4 in 10 working hours go to tasks AI can already do, mostly writing development documentation and change logs and scripting robot program backups. The hands-on work stays with engineers, who still install, calibrate, and test machines on the floor and check that AI-drafted code runs safely on real hardware.
Which robotics engineering tasks is AI taking over?
Documentation, backups, and device lists lead the change. Writing development documentation and change logs scores 75 on exposure, and backing up robot programs scores 70, since scheduled scripts handle both and a person only confirms completion. Device lists and event timing charts also score 70 because they are generated from existing specifications.
Which robotics engineering tasks stay human?
Physical work stays with engineers. Installing, calibrating, operating, and maintaining robots scores just 6 on exposure because skilled hands must work on the machine. Investigating mechanical failures scores 18 because failed hardware needs physical inspection, and supervising technicians scores 10 because mentoring people is core human work.
How can robotics engineers stay valuable as AI changes the job?
Stay close to the hardware loop. Test every AI-drafted C++ or Python control routine on a physical robot and record results in Git. Calibrate robots and integrate PLCs and welders, since those tasks score low on exposure. Keep MATLAB and SolidWorks models current so you can explain why a design works.
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