The Task Exposure Indexv2026.Q3
Occupation · SOC 47-2071.00 · Job Zone 2

AI exposure: Paving, Surfacing, and Tamping Equipment Operators

Operate equipment used for applying concrete, asphalt, or other materials to road beds, parking lots, or airport runways and taxiways or for tamping gravel, dirt, or other materials. Includes concrete and asphalt paving machine operators, form tampers, tamping machine operators, and stone spreader operators.

Reading this score

computed

Paving, Surfacing, and Tamping Equipment Operators is among the least exposed occupations measured, at 1.4% of weighted task load, rank 908 of 923. 96.0% of this job is work current AI systems cannot produce at all. That is not a statement about skill or value. It is a statement about what these systems can and cannot do.

What holds the line here is embodiment. Across this occupation's 20 tasks it averages 2.92 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 Drive machines onto truck trailers, and drive trucks to transport machines and material to and..., at 8.3%. The least is Set up forms and lay out guidelines for curbs, according to written specifications, at 0.0%. A gap of 8.3% 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 construction and extraction occupations, this one is less exposed than the median of 5.1% across the group's 61 roles, with 51 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 20 tasks, 0 are currently banded exposed, 0 assisted and 20 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
Capability0.140-4
Embodiment2.920-3
Presence0.790-3
Accountability0.860-3
Context1.010-3
Verification cost1.180-3

Task by task

20 tasks, O*NET 31.0
TaskExposedAssistedUntouchedImportanceBand
Drive machines onto truck trailers, and drive trucks to transport machines and material to and from job sites.8.3%16.7%75.0%3.91untouched
Coordinate truck dumping.6.7%18.3%75.0%3.92untouched
Inspect, clean, maintain, and repair equipment, using mechanics' hand tools, or report malfunctions to supervisors.5.2%3.1%91.7%3.87untouched
Observe distribution of paving material to adjust machine settings or material flow, and indicate low spots for workers to add material.2.9%9.6%87.5%3.98untouched
Start machine, engage clutch, and push and move levers to guide machine along forms or guidelines and to control the operation of machine attachments.0.0%0.0%100.0%4.16untouched
Fill tanks, hoppers, or machines with paving materials.0.0%0.0%100.0%4.03untouched
Control paving machines to push dump trucks and to maintain a constant flow of asphalt or other material into hoppers or screeds.0.0%0.0%100.0%4.01untouched
Set up and tear down equipment.0.0%0.0%100.0%3.87untouched
Operate machines to spread, smooth, level, or steel-reinforce stone, concrete, or asphalt on road beds.0.0%0.0%100.0%3.86untouched
Light burners or start heating units of machines, and regulate screed temperatures and asphalt flow rates.0.0%0.0%100.0%3.74untouched
Control traffic.0.0%0.0%100.0%3.61untouched
Shovel blacktop.0.0%0.0%100.0%3.55untouched
Operate tamping machines or manually roll surfaces to compact earth fills, foundation forms, and finished road materials, according to grade specifications.0.0%0.0%100.0%3.53untouched
Operate oil distributors, loaders, chip spreaders, dump trucks, and snow plows.0.0%0.0%100.0%3.48untouched
Place strips of material, such as cork, asphalt, or steel into joints, or place rolls of expansion-joint material on machines that automatically insert material.0.0%0.0%100.0%3.58untouched
Drive and operate curbing machines to extrude concrete or asphalt curbing.0.0%0.0%100.0%3.50untouched
Operate machines that clean or cut expansion joints in concrete or asphalt and that rout out cracks in pavement.0.0%0.0%100.0%3.42untouched
Cut or break up pavement and drive guardrail posts, using machines equipped with interchangeable hammers.0.0%0.0%100.0%3.38untouched
Install dies, cutters, and extensions to screeds onto machines, using hand tools.0.0%0.0%100.0%3.26untouched
Set up forms and lay out guidelines for curbs, according to written specifications, using string, spray paint, and concrete or water mixes.0.0%0.0%100.0%3.17untouched

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.