Headline risk
16%
Moderate RiskDelivery Rider
This page reuses the same role shell as Singapore, but the component occupations are mapped onto the United States layer so the score, context, and support bundle reflect US public evidence.
Why this score
35% of tasks overlap with current AI
31% human advantage from judgment & presence
81% demand buffer from the local labour market
These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.
Weighted overlap across component occupations
Human coordination and physical presence protection
Blended local-market buffer for this role
Component coverage and mapping quality
Workflow profile
Heuristic workflow context blended from the role mix. This explains the score; it is not used as a direct local-market forecast.
Workflow dimensions (0 = low, 1 = high)
United States support
Evidence bundle
Weighted task overlap from O*NET statements and Anthropic penetration
Median annual wage from BLS OEWS
Employment projections and openings from BLS
Preparation and entry requirements from O*NET and BLS
Support snapshot
Job zone
2The occupation usually needs some preparation before entry.
Median wage
USD 37,130USD 29,120 to USD 47,590
Openings
51.3K8.8% projected change
Median age
46.43.6M employed
Occupation profile
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.
Job Zone 2 · Some preparation
The occupation usually needs some preparation before entry.
Task primitives
Matched task weight share: 100% · Effective coverage: 15%
Concentration: 100%
Wage context
Median annual
USD 37,130
Mean annual
USD 39,670
Hourly median: USD 18
Employment: 417,420 workers
10th percentile: USD 21,760
90th percentile: USD 59,730
Demand outlook
2024 employment
451.5K
2034 employment
491.3K
Openings: 51.3K
Projected change: 8.8%
Education: High school diploma or equivalent
Work experience: None
On-the-job training: Short-term on-the-job training
Median wage in projections: USD 37,130
Overall employment of delivery truck drivers and driver/sales workers is projected to grow 8 percent from 2024 to 2034, much faster than the average for all occupations.
Requirements and friction
Telework: <0.5% · Telework: >99.5% · Credentials: 18.2%
Narrative and skills
Delivery truck drivers and driver/sales workers pick up, transport, and drop off packages and small shipments within a local region or urban area.
Delivery truck drivers and driver/sales workers have a physically demanding job. Driving a truck for long periods can be tiring. When loading and unloading cargo, drivers do a lot of lifting, carrying, and walking.
Delivery truck drivers and driver/sales workers typically need a high school diploma or equivalent to enter these occupations. However, some opportunities exist for those without a high school diploma. Workers undergo 1 month or less of on-the-job training. They must have a driver’s license from the state in which they work and have a clean driving record.
The median annual wage for driver/sales workers was $37,130 in May 2024.
Overall employment of delivery truck drivers and driver/sales workers is projected to grow 8 percent from 2024 to 2034, much faster than the average for all occupations.
Jobs: 1,531,300
Median pay: USD 42,770
Employment outlook: Overall employment of delivery truck drivers and driver/sales workers is projected to grow 8 percent from 2024 to 2034, much faster than the average for all occupations.
Openings: 118,700
Tasks and tools
- 1. Drive trucks to deliver such items as food, medical supplies, or newspapers. · AI use 0%
- 2. Listen to and resolve customers' complaints regarding products or services. · AI use 98%
- 3. Record sales or delivery information on daily sales or delivery record. · AI use 0%
- 4. Inform regular customers of new products or services and price changes. · AI use 0%
- 5. Collect money from customers, make change, and record transactions on customer receipts. · AI use 0%
- 6. Maintain trucks and food-dispensing equipment and clean inside of machines that dispense food or beverages. · AI use 0%
Work context
- Outdoors, Exposed to All Weather Conditions: 5.0/5
- Time Pressure: 4.9/5
- Exposed to Very Hot or Cold Temperatures: 4.8/5
- Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls: 4.6/5
- Face-to-Face Discussions with Individuals and Within Teams: 4.6/5
- Importance of Repeating Same Tasks: 4.4/5
Tech density
6/6
2 hot · 0 in demand
Work pace
4.7/5
Average of the strongest work-context signals.
Worker profile
Median age: 46.4
Total employed: 3.6M · Under 25: 7% · 25 to 54: 62% · 55+: 31%
Support note
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.
Source vintage
O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Component occupations
Driver/sales workers
53-3031 · 50% weight
Motorcycle delivery man
Support bundle: Some preparation
Driver/sales workers
53-3031 · 30% weight
Delivery man using motorised PMDs
Support bundle: Some preparation
Grounds maintenance workers, all other
37-3019 · 20% weight
Logistics/Production planner
Support bundle: published
Methodology
Shared spine
structural_pressure = exposure × (1 - bottleneck)
Country layer
headline_risk = structural_pressure × (1 - country_demand_resilience)
Published limitations
This is a synthetic role view built from mapped occupations. It reuses the same shell and visual components as the Singapore role pages, but only the US sources that actually exist are rendered here.