Will robotics technicians be replaced by AI?
Updated
Robotics technicians score 34 of 100 for AI exposure. The largest share of their task time, 51%, is work AI speeds up while they stay in charge. AI can take over 11% outright, and 38% stays with people.
- 11% AI can do it
- 51% AI helps
- 38% Needs a person
Moderate exposure
Lower than 56% of the 923 occupations we scored.
Task by task
We graded 22 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 12 and leaves 8 to people.
| Task | AI exposure |
|---|---|
| Maintain service records of robotic equipment or automated production systems. Routine record keeping suits automated documentation tools. | 70% AI can do it |
| Document robotics test procedures and results. Writing test reports from data is routine documentation. | 70% AI can do it |
| Maintain inventories of robotic production supplies, such as sensors or cables. Stock tracking and reorder logic is software; counting is physical. | 55% AI helps |
| Assist engineers in the design, configuration, or application of robotic systems. AI can support design calculations and configuration docs. | 45% AI helps |
| Program complex robotic systems, such as vision systems. AI coding assistants speed up programming and vision setup. | 45% AI helps |
| Develop three-dimensional simulations of automation systems. 3D simulation tools with AI assist model building. | 45% AI helps |
| Modify computer-controlled robot movements. AI drafts motion code; on robot testing stays human. | 40% AI helps |
| Develop robotic path motions to maximize efficiency, safety, and quality. Path planning software and AI can optimize motion plans. | 40% AI helps |
| Train robots, using artificial intelligence software or interactive training techniques, to perform simple or complex tasks, such as designing and carrying out a series of iterative tests of chemical samples. AI handles iterative design loops; lab handling stays manual. | 40% AI helps |
| Troubleshoot robotic systems, using knowledge of microprocessors, programmable controllers, electronics, circuit analysis, mechanics, sensor or feedback systems, hydraulics, or pneumatics. AI can help diagnose faults from logs and symptoms. | 35% AI helps |
Show the other 12 tasks
| Task | AI exposure |
|---|---|
| Evaluate the efficiency and reliability of industrial robotic systems, reprogramming or calibrating to achieve maximum quantity and quality. Data analysis helps; calibration on live systems stays manual. | 35% AI helps |
| Train customers or other personnel to install, use, or maintain robots. AI can draft training materials; live teaching stays human. | 35% AI helps |
| Install, program, or repair programmable controllers, robot controllers, end-of-arm tools, or conveyors. Code generation helps, but physical installation stays manual. | 25% AI helps |
| Test performance of robotic assemblies, using instruments such as oscilloscopes, electronic voltmeters, or bridges. Instrument readings are physical; AI can interpret results. | 25% AI helps |
| Perform preventive or corrective maintenance on robotic systems or components. Physical maintenance on robot hardware requires in person work. | 12% Needs a person |
| Inspect installation sites. Site inspection needs physical presence and on site judgement. | 12% Needs a person |
| Make repairs to robots or peripheral equipment, such as replacement of defective circuit boards, sensors, controllers, encoders, or servomotors. Hands on component swaps need physical presence. | 10% Needs a person |
| Fabricate housings, jigs, fittings, or fixtures, using metalworking machines. Machining metal housings and fixtures is hands on fabrication. | 8% Needs a person |
| Install new robotic systems in stationary positions or on tracks. On site installation of robot systems is physical work. | 6% Needs a person |
| Align, fit, or assemble components, using hand tools, power tools, fixtures, templates, or microscopes. Fitting and assembling parts with hand tools is physical. | 5% Needs a person |
| Build or assemble robotic devices or systems. Building devices is hands on assembly work. | 5% Needs a person |
| Attach wires between controllers. Wire attachment is physical work at the controller. | 4% Needs a person |
How robotics technicians compare
All occupations (923)
Architecture and engineering (56)
Pay and outlook in the US
- Median pay
- $73,900 a year, May 2025
- Projected change in jobs
- +2.6% from 2024 to 2034
Skills to build
- Repair encoders, servomotors, and controllers on site
- Program vision systems for robotic cells in Python
- Build 3D automation simulations in AutoCAD
- Track robotic sensor and cable stock in SAP
- Install robot systems on stationary positions or tracks
- Fabricate fixtures and jigs with metalworking machines
Safer roles nearby
4 related occupations with lower scores.
Questions about robotics technicians and AI
Will AI replace robotics technicians?
Partly. About 3 in 10 working hours of a robotics technician's job go to tasks AI can already do, mostly service records and test documentation. The hands-on work of wiring, assembling, installing, and repairing robots stays with people because it needs a technician standing at the machine.
Which robotics technician tasks is AI taking over?
Service record keeping and test report writing are the most exposed, each with an exposure score of 70. AI tools can turn logged service data and test results into routine documentation, so the paperwork that follows a robot repair or test run moves to software first.
Which robotics technician tasks stay human?
Attaching wires between controllers, building robotic devices, and installing new systems score lowest, between 4 and 6 on exposure. They stay with people because the work is physical and happens at the controller, on the bench, or on the factory floor.
How do robotics technicians stay valuable with AI?
Move toward the hands-on repair and programming work AI supports least. Replace encoders and servomotors on site, fit parts with hand and power tools, and program vision systems in Python. Use AutoCAD and MATLAB for the simulations AI helps build, so your engineering judgment shapes each model while software handles the drafting.
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