Will AI replace parts salespersons?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 7h 41m (96%) stays with people. Separately, BLS expects about 3% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

For some tasks, yes. Robots have done 1 of this job's tasks in workplaces like this one, about 19m of a typical shift. 9 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 1 physical task, no robot has shown it can do the work yet.

• Pick up and deliver parts. (19m a shift; e.g. Moxi (Diligent Robotics), in use)

7h 41m of a typical shift, or 96%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Fill customer orders from stock, and place orders when requested items are out of stock. (57m a shift)
• Receive and fill telephone orders for parts. (51m a shift)
• Locate and label parts, and maintain inventory of stock. (44m a shift)
• Read catalogs, microfiche viewers, or computer displays to determine replacement part stock numbers and prices. (44m a shift)
• Assist customers, such as responding to customer complaints and updating them about back-ordered parts. (38m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 100% say dealing with the public is very or extremely important
• 100% are in constant contact with other people
• 82% work at arm's length or closer to other people

On Indeed, job postings in the Retail sector are at 90% of their February 2020 level (all U.S. postings: 104%), up 4.2% from a year earlier, as of Oct 9, 2026. BLS separately expects about 30,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $38,630 a year ($18.57 an hour), 24% below the median for all U.S. jobs ($50,980). Most people in this job earn between $28,240 and $62,890 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 3% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 282,000 jobs in 2035. It expects about 30,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 270,000 people in the U.S., roughly 0.17% of all workers (BLS, May 2025). That makes it the 140th largest of the 796 jobs on this site. BLS expects about 282,000 in 2035.

The most common requirement is a high school diploma: about 47% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Persuasion, Service Orientation, Speaking, Active Listening
• Get strong at the parts of the job that stay with people (listed above), which take 7h 41m of a typical shift
• Tools employers list: Microsoft Office software, Microsoft Excel, Adobe Acrobat, Microsoft Outlook, Microsoft PowerPoint

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Counter and Rental Clerks (1h 30m touched, $41k median pay)
• Retail Salespersons (4h 39m touched, $35k median pay)

Each task carries its own evidence label. For this job: 1 with robots in real deployments, 18 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.