AI exposure by occupation, O*NET 17-3024.01

Will AI replace Robotics Technicians?

Robotics Technicians: AI can already handle 1 of 22 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 22 tasks O*NET 30.3 lists for Robotics Technicians, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Evaluate the efficiency and reliability of industrial robotic systems, reprogramming or calibrating to achieve maximum quantity and quality. 65 Estimated Standard 3.8
Develop robotic path motions to maximize efficiency, safety, and quality. 50 Estimated Standard 3.8
Assist engineers in the design, configuration, or application of robotic systems. 50 Estimated Frontier 3.5
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. 50 Estimated Standard 3.3
Develop three-dimensional simulations of automation systems. 50 Estimated Frontier 3.0
Train customers or other personnel to install, use, or maintain robots. 35 Estimated Efficient 3.6
Troubleshoot robotic systems, using knowledge of microprocessors, programmable controllers, electronics, circuit analysis, mechanics, sensor or feedback systems, hydraulics, or pneumatics. 30 Estimated Standard 4.2
Make repairs to robots or peripheral equipment, such as replacement of defective circuit boards, sensors, controllers, encoders, or servomotors. 20 Estimated Efficient 4.2
Maintain service records of robotic equipment or automated production systems. 20 Estimated Efficient 4.2
Install, program, or repair programmable controllers, robot controllers, end-of-arm tools, or conveyors. 20 Estimated Efficient 4.2
Install new robotic systems in stationary positions or on tracks. 20 Estimated Efficient 3.3
Inspect installation sites. 20 Estimated Efficient 3.2
Maintain inventories of robotic production supplies, such as sensors or cables. 20 Estimated Standard 3.2
Modify computer-controlled robot movements. 15 Estimated No tier 4.1
Perform preventive or corrective maintenance on robotic systems or components. 15 Estimated No tier 4.1
Align, fit, or assemble components, using hand tools, power tools, fixtures, templates, or microscopes. 15 Estimated No tier 4.0
Attach wires between controllers. 15 Estimated No tier 3.9
Program complex robotic systems, such as vision systems. 15 Estimated No tier 3.8
Test performance of robotic assemblies, using instruments such as oscilloscopes, electronic voltmeters, or bridges. 15 Estimated No tier 3.8
Build or assemble robotic devices or systems. 15 Estimated No tier 3.6
Fabricate housings, jigs, fittings, or fixtures, using metalworking machines. 15 Estimated No tier 3.5
Document robotics test procedures and results. 15 Estimated No tier 3.5

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 22 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 22 of 22. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 50% of the role's importance-weighted task work. 58% of the work is something AI can address at some tier, and 42% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
15,520
Median annual wage
$73,900
Middle half of earners
$59,780 to $88,540
Projected change, 2024 to 2034
+1.1%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Robotics Technicians and AI

Will AI replace Robotics Technicians?

AI already handles 1 of the 22 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 26 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +1.1% from 2024 to 2034.

What is the AI exposure of Robotics Technicians?

26 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 22 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 22 are estimated from each task's O*NET work activity.

Which Robotics Technicians tasks can AI already do?

The tasks with the highest exposure are: Evaluate the efficiency and reliability of industrial robotic systems, reprogramming or calibrating to achieve maximum quantity and quality. It is the only task that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 50% of the role's importance-weighted task work, and 42% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Robotics Technicians, and what do they earn?

15,520 people in the United States, with a median annual wage of $73,900 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +1.1% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Robotics Technicians. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/robotics-technicians

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