JobBreak

Sales and Related · United States (national)

Parts Salespersons

How exposed this work is to automation, shown as ranges with the reasoning and sources.

The short version: this role is less exposed to automation, and meaningful change looks likely over the next 5 to 10 years. It is a sourced range, not a verdict, and the detail is below.

Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown. Data snapshot SNAPSHOT-2026-11-06. How it works
34.3 of 100
AI / softwarerange 22.3 to 46.3
39.9 of 100
Physical / roboticsrange 27.9 to 51.9

When the change is likely

partial change 0y 5y 10y 15y 20+y

Partial, 5 to 10 years local demand stable

What to do about it

Use AI to outpace AI.

Strategies to protect your livelihood, most important first.

1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Pivot toward Retail Salespersons
It is skill-adjacent and less exposed (35.5 vs 40). A lateral move now beats a forced one later.
3
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
4
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.

Which of my tasks are exposed

Receive payment or obtain credit authorization.
39.9
Assist customers, such as responding to customer complaints and updating them about back-ordered parts.
50.0
Fill customer orders from stock, and place orders when requested items are out of stock.
50.0
Receive and fill telephone orders for parts.
39.9
Locate and label parts, and maintain inventory of stock.
50.0
Prepare sales slips or sales contracts.
39.9
Read catalogs, microfiche viewers, or computer displays to determine replacement part stock numbers and prices.
39.9
Determine replacement parts required, according to inspections of old parts, customer requests, or customers' descriptions of malfunctions.
50.0

Longer, orange bars are more automatable; short green bars are resistant.

What is driving my result

lowers risk
raises risk
Task: Assist customers, such as responding to customer complaints and updating them about back-ordered parts.
Task: Fill customer orders from stock, and place orders when requested items are out of stock.

Lower-risk adjacent roles

Retail Salespersons
35.5
Stockers and Order Fillers
37.1

A full, ranked mitigation plan is part of the paid tiers.

How this score is calculated

  1. Map Parts Salespersons to its standard O*NET task list (8 core tasks).
  2. Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
  3. The two axis scores are the task averages: AI 34.3, robotics 39.9.
  4. The timeline comes from the higher axis (39.9), shifted for local demand (stable), and seniority. It is read against your remaining working years.
  5. Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.

Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS. Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.

Check another job

Stay ahead of the curve. Get notified when the automation outlook for your job shifts.