Driver/Sales Workers
Driver/Sales Workers — AI exposure, safer roles, and a pivot plan.
Also known as: Breadman · Bobtailer · Bread Jockey · Delivery Man · City Routeman · Coal Deliverer
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
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Record sales or delivery information on daily sales or delivery record.73
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Listen to and resolve customers' complaints regarding products or services.67
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Review lists of dealers, customers, or station drops and load trucks.60
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
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Drive trucks to deliver such items as food, medical supplies, or newspapers.58
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Collect money from customers, make change, and record transactions on customer receipts.58
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Collect coins from vending machines, refill machines, and remove aged merchandise.58
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
The current data release does not distinguish durable tasks for this role.
Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.
What this means
A score of 57 puts Driver/Sales Workers in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 3 of 11 analyzed tasks lean automatable, 8 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.
One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.
Lower-exposure adjacent roles
Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.
Labor-market context
- $38,770median wage
- 409,180employed
- 51,300annual openings
- +8.8%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Your week probably doesn’t match the average
This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.
Personalize my result — $9Related roles
Adjacent by skills or family — no exposure claim implied.
FAQ — Driver/Sales Workers
- What does a score of 57 mean for a Driver/Sales Workers?
- It means that, weighted across the 11 tasks we analyzed for this role, the task mix sits at 57 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
- Which tasks in this role are most exposed to AI?
- The highest-exposure tasks are: 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. Exposure is scored per task from structured data, not generated by a language model.
- Which parts of this job are most durable?
- The current data release does not distinguish durable tasks for this role.
- Is this score personalized to me?
- No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.
Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 11 of 11 tasks carry source-level provenance · methodology