As of August 2026, Driver/Sales Workers has an AI-exposure score of 53/100 (Elevated exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Driver/Sales Workers

53/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 39% of the roles we track. Median pay ~US$38,770. About 51,300 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Driver/Sales Workers?

No exposure score can predict whether AI will replace this role. The 53/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role's task mix is automation-heavy, but it sits in the Elevated exposure band rather than our highest-exposure bands. That is only a partial match to the study's cohort, so the headline figure is context rather than a direct forecast for this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Drive truck or other vehicle over established routes or within an established territory and sell or deliver goods, such as food products, including restaurant take-out items, or pick up or deliver items such as commercial laundry. May also take orders, collect payment, or stock merchandise at point of delivery.

Common titles
DriverDriver SalesmanRoute DriverRoute SalesmanDelivery ManPizza Delivery Driver
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
SpeakingCritical ThinkingService OrientationComplex Problem SolvingReading ComprehensionSocial Perceptiveness
Work context
Repeating tasksFrequent contact with othersDecision latitudeIndoor controlled settingConsequence of error

Source: O*NET 29.1 exact occupation - Driver/Sales Workers, SOC 53-3031.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Driver/Sales Workers tasks, by AI exposure

Automatable
  • Record sales or delivery information on daily sales or delivery record.
  • Listen to and resolve customers' complaints regarding products or services.
  • Review lists of dealers, customers, or station drops and load trucks.
4 more automatable tasks locked in the report.
Augmentable
  • Collect coins from vending machines, refill machines, and remove aged merchandise.
  • Arrange merchandise and sales promotion displays or issue sales promotion materials to customers.
2 more augmentable tasks locked in the report.
Durable

No durable tasks identified for this role - its individually-assessed tasks split 64% automatable / 36% augmentable.

We analyzed all 11 Driver/Sales Workers tasks - 7 automatable and 4 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

No evidence-backed lower-exposure match appears in this O*NET adjacency set. The adjacent paths below remain useful comparisons; the strongest resilience moves are task-level.

Light Truck Drivers
80% skills overlap; 5 points higher - similar exposure within the 5-point model resolution; Elevated band; ~US$44,860
View path
58
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Record sales or delivery information on daily sales or delivery record.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Driver/Sales Workers - median pay by US state (BLS OEWS, USD)

California: US$45,600New York: US$42,730Florida: US$36,260Texas: US$35,850

Median annual wage, in USD. US national: US$38,770. More states are being added.

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