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AI Automation Index
Task-level automation exposure for Light Truck Drivers: 13 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
13 of 13 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
983,300 people hold this job — size, not growth
Projected 2025–35
107,200 openings a year · BLS line item
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$24,430 – $57,190
Highest medians
Lowest medians
State figures come from the 53-3033 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
13 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
5 tasks
2 tasks
6 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Obey traffic laws and follow established traffic and transportation procedures.
decision support — AI can guide safety procedures but human executes driving
Report any mechanical problems encountered with vehicles.
text generation — Reporting malfunctions is structured information relay
Verify the contents of inventory loads against shipping papers.
information retrieval — Spec verification against references, human confirms edge cases
Inspect and maintain vehicle supplies and equipment, such as gas, oil, water, tires, lights, or brakes, to ensure that vehicles are in proper working condition.
visual inspection — Vehicle inspection is physical on-site work
Read maps and follow written or verbal geographic directions.
information retrieval — Map route reading strong, real-world routing human
Load and unload trucks, vans, or automobiles.
physical manipulation — Physical lifting and loading of shipments
Present bills and receipts and collect payments for goods delivered or loaded.
physical manipulation — Collecting fares physically from customers
Maintain records, such as vehicle logs, records of cargo, or billing statements, in accordance with regulations.
text generation — Log delivery details into structured records
Drive vehicles with capacities under three tons to transport materials to and from specified destinations, such as railroad stations, plants, residences, offices, or within industrial yards.
physical manipulation — Hands-on vehicle and equipment operation
Turn in receipts and money received from deliveries.
data analysis — Billing and payment processing largely automated
Use and maintain the tools or equipment found on commercial vehicles, such as weighing or measuring devices.
physical manipulation — Physical maintenance of machinery
Report delays, accidents, or other traffic and transportation situations to bases or other vehicles, using telephones or mobile two-way radios.
interpersonal — Emergency notification needs live accountable delivery
Perform emergency repairs, such as changing tires or installing light bulbs, fuses, tire chains, or spark plugs.
physical manipulation — Physical vehicle maintenance work
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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