Will AI replace first-line supervisors of helpers, laborers, and material movers, hand?

Some tasks are already handled by AI or machines; the rest still needs a person. About 2h 11m of an 8-hour shift goes to tasks that AI or robots largely take over. The breakdown: 16m that AI mostly does alone, 1h 56m that robots have done in real workplaces. The other 5h 48m (73%) stays with people.

AI shows up regularly in 2 of 24 tasks, about 16m of a typical shift. The biggest ones:

• Participate in the hiring process by reviewing credentials, conducting interviews, or making hiring decisions or recommendations. (11m a shift, AI mostly does it alone)
• Evaluate employee performance and prepare performance appraisals. (5m a shift, AI mostly does it alone)

For some tasks, yes. Robots have done 4 of this job's tasks in workplaces like this one, about 1h 56m of a typical shift. 1 more task has only been done in factory setups built around the machine, so it stays with people here. For 2 physical tasks, no robot has shown it can do the work yet.

• Perform the same work duties as those supervised, or perform more difficult or skilled tasks or assist in their performance. (1h 24m a shift; e.g. Stretch, in use)
• Check specifications of materials loaded or unloaded against information contained in work orders. (16m a shift; e.g. Verity inventory drones, in use)
• Inventory supplies and requisition or purchase additional items, as necessary. (11m a shift; e.g. Verity inventory drones at UPS Velocity facility, in use)
• Inspect job sites to determine the extent of maintenance or repairs needed. (5m a shift; e.g. Spot with Orbit (Boston Dynamics), in use)

5h 48m of a typical shift, or 73%, 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:

• Review work throughout the work process and at completion to ensure that it has been performed properly. (53m a shift)
• Collaborate with workers and managers to solve work-related problems. (37m a shift)
• Maintain a safe working environment by monitoring safety procedures and equipment. (32m a shift)
• Prepare and maintain work records and reports of information such as employee time and wages, daily receipts, or inspection results. (32m a shift)
• Transmit and explain work orders to laborers. (32m 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:

• 98% talk face to face with others every day
• 94% are in constant contact with other people
• 63% say dealing with the public is very or extremely important

For the 2 tasks in this job where AI shows up and timing data exists, a typical request takes about 4h 35m for a person alone and about 36m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Evaluate employee performance and prepare performance appraisals (about 4h 38m alone, 33m with AI)
• Participate in the hiring process by reviewing credentials, conducting interviews, or making hiring decisions or recommendations (about 4h 32m alone, 38m with AI)

On Indeed, job postings in the Logistic Support sector are at 119% of their February 2020 level (all U.S. postings: 104%), up 5.1% from a year earlier, as of Oct 9, 2026. 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 $62,840 a year ($30.21 an hour), 23% above the median for all U.S. jobs ($50,980). Most people in this job earn between $43,350 and $96,100 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer.

About 633,000 people in the U.S., roughly 0.41% of all workers (BLS, May 2025). That makes it the 64th largest of the 796 jobs on this site.

The most common requirement is a high school diploma: about 35% 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: Management of Personnel Resources, Coordination, Time Management, Negotiation
• Get strong at the parts of the job that stay with people (listed above), which take 5h 48m of a typical shift
• Tools employers list: SAP software, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook, Microsoft Office software
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. 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:

• First-Line Supervisors of Production and Operating Workers (11m touched, $74k median pay)
• First-Line Supervisors of Mechanics, Installers, and Repairers (1h 23m touched, $80k median pay)
• First-Line Supervisors of Material-Moving Machine and Vehicle Operators (48m touched, $63k median pay)

Each task carries its own evidence label. For this job: 2 observed in real AI use, 4 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.