The Task Exposure Indexv2026.Q3
Occupation · SOC 17-3024.01 · Job Zone 3

AI exposure: Robotics Technicians

Build, install, test, or maintain robotic equipment or related automated production systems.

Reading this score

computed

At 21.8% of weighted task load, Robotics Technicians sits at the 40th percentile, below the point where a job's centre of gravity has moved. 61.8% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.

What holds the line here is embodiment. Across this occupation's 22 tasks it averages 2.02 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.

The most exposed thing this job does is Maintain service records of robotic equipment or automated production systems, at 73.3%. The least is Fabricate housings, jigs, fittings, or fixtures, at 0.0%. A gap of 73.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within architecture and engineering occupations, this one is less exposed than the median of 37.5% across the group's 56 roles, with 55 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.

What would move this score. Of 22 tasks, 11 are currently banded exposed, 1 assisted and 10 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

DimensionMeanScale
Capability1.540-4
Embodiment2.020-3
Presence0.390-3
Accountability0.980-3
Context1.700-3
Verification cost1.640-3

Task by task

22 tasks, O*NET 31.0
TaskExposedAssistedUntouchedImportanceBand
Maintain service records of robotic equipment or automated production systems.73.3%26.7%0.0%4.15exposed
Document robotics test procedures and results.73.3%26.7%0.0%3.53exposed
Troubleshoot robotic systems, using knowledge of microprocessors, programmable controllers, electronics, circuit analysis, mechanics, sensor or feedback systems, hydraulics, or pneumatics.40.0%35.0%25.0%4.20exposed
Maintain inventories of robotic production supplies, such as sensors or cables.30.0%20.0%50.0%3.21exposed
Develop three-dimensional simulations of automation systems.30.0%20.0%50.0%3.00exposed
Evaluate the efficiency and reliability of industrial robotic systems, reprogramming or calibrating to achieve maximum quantity and quality.27.8%22.2%50.0%3.83exposed
Modify computer-controlled robot movements.26.7%23.3%50.0%4.11exposed
Train customers or other personnel to install, use, or maintain robots.26.7%23.3%50.0%3.62exposed
Program complex robotic systems, such as vision systems.26.7%23.3%50.0%3.82exposed
Develop robotic path motions to maximize efficiency, safety, and quality.26.7%23.3%50.0%3.79exposed
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.26.7%23.3%50.0%3.27exposed
Assist engineers in the design, configuration, or application of robotic systems.23.3%26.7%50.0%3.53assisted
Install, program, or repair programmable controllers, robot controllers, end-of-arm tools, or conveyors.17.5%20.0%62.5%4.15untouched
Perform preventive or corrective maintenance on robotic systems or components.10.0%15.0%75.0%4.10untouched
Test performance of robotic assemblies, using instruments such as oscilloscopes, electronic voltmeters, or bridges.8.3%16.7%75.0%3.79untouched
Inspect installation sites.8.3%16.7%75.0%3.21untouched
Make repairs to robots or peripheral equipment, such as replacement of defective circuit boards, sensors, controllers, encoders, or servomotors.4.3%4.1%91.7%4.24untouched
Align, fit, or assemble components, using hand tools, power tools, fixtures, templates, or microscopes.0.0%0.0%100.0%4.00untouched
Attach wires between controllers.0.0%0.0%100.0%3.90untouched
Build or assemble robotic devices or systems.0.0%0.0%100.0%3.60untouched
Install new robotic systems in stationary positions or on tracks.0.0%0.0%100.0%3.33untouched
Fabricate housings, jigs, fittings, or fixtures, using metalworking machines.0.0%0.0%100.0%3.55untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.

What this means in practice

Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.