Mostly Resilient

Last Update: 6/19/2026

AI Resilience Score for First-Line Supervisors:

52.5%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient first-line supervision of helpers, laborers, and material movers is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For first-line supervisors of helpers, laborers, and material movers, five of seven sources had data. On AI exposure, our AI Resilience Model saw low risk while Will Robots Take My Job rated it medium, creating a modest split that holds confidence at medium. Solid mid-range demand and a high Adaptive Capacity score helped push the label to "Mostly Resilient."

AI Resilience Report forFirst-Line Supervisors of Helpers, Laborers, and Material Movers, Hand

$63,940 median salary1,100 annual openingsSOC Code: 53-1042.00

First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.

This career earns a "Mostly Resilient" label because AI is taking over the routine, paperwork-heavy parts of the job (like scheduling and recordkeeping) while leaving the most important work, including hands-on safety decisions, team leadership, and real-time problem-solving, firmly in human hands. Warehouses are definitely getting more automated, with robots becoming a bigger part of the picture by 2030, but that actually creates a new need for supervisors who can manage both people and machines at the same time.

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This role is mostly resilient

This career earns a "Mostly Resilient" label because AI is taking over the routine, paperwork-heavy parts of the job (like scheduling and recordkeeping) while leaving the most important work, including hands-on safety decisions, team leadership, and real-time problem-solving, firmly in human hands. Warehouses are definitely getting more automated, with robots becoming a bigger part of the picture by 2030, but that actually creates a new need for supervisors who can manage both people and machines at the same time.

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Analysis of Current AI Resilience

First-Line Supervisors

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing First-Line Supervisors jobs?

If you're a young person watching robots roll into Amazon and Walmart warehouses, it's natural to wonder what happens to the people who supervise those workers. The good news: most of what these supervisors do today is being augmented — made easier — rather than fully replaced. AI is showing up first in the routine, paperwork-heavy parts of the job.

The National Safety Council reports that AI is increasingly embedded across safety technologies, powering computer vision, predictive risk modeling and AI assistants that can identify patterns and support proactive decision-making — exactly the kind of help a supervisor uses when inspecting equipment or monitoring safety procedures. On the frontline floor, the World Economic Forum describes how AI is being used to handle scheduling, training, and coaching for warehouse and logistics workers [1], which lightens a supervisor's recordkeeping and shift-planning load. Meanwhile, Gartner predicts that by 2030, 50% of new warehouses in developed markets will be designed as "robot-centric" facilities [2] — meaning supervisors of the future will increasingly coordinate fleets of robots alongside people.

Sources

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AI Adoption

How fast is AI adoption growing for First-Line Supervisors?

Adoption is moving fast because the business case is strong. A 2026 MHI and Deloitte survey of supply chain leaders found that 48% now consider AI's disruptive impact significant or greater — up 25 percentage points in just one year — and 56% of organizations plan to increase supply chain innovation spending [3]. Persistent labor shortages are another big driver pushing companies toward automation.

But there are real brakes too. Wolters Kluwer's 2026 EHS readiness study, conducted with the National Safety Council, surveyed 1,053 safety and operations professionals and found leaders warning that "guardrails" are needed as AI gets embedded in safety programs [4]. And here's the hopeful part: BCG's 2026 analysis argues that task automation doesn't equal job loss — most roles will remain but will change substantially [5].

The U.S. Bureau of Labor Statistics still projects 4% growth for hand laborers and material movers from 2024 to 2034 [6], and supervisors who can coach people, troubleshoot equipment in person, and judge tricky safety situations will remain essential. The skills AI can't easily copy — calm leadership, hands-on problem-solving, and earning a team's trust — are exactly what make a great supervisor.

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Will AI replace First-Line Supervisors?

Will AI replace First-Line Supervisors?

No. We don't think AI will replace First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand, though we do expect the job to change.

Our 52.5% AI Resilience Score puts this role in "Mostly Resilient" territory, and that tracks with what's actually happening on the ground. AI is moving into the routine parts of the job first: scheduling, shift planning, safety monitoring, and coaching tools are already being handled by AI systems in warehouses and logistics facilities [1]. By 2030, half of new warehouses in developed markets are expected to be designed as robot-centric facilities [2], so supervisors will increasingly manage both people and machines.

What stays human is the core of the job. Earning a team's trust, making judgment calls in messy real-world situations, and handling the kind of safety decisions that need someone physically present are not things AI can easily replicate. BCG's analysis makes the point clearly: task automation doesn't equal job loss, most roles will remain but will change substantially [5].

The economic picture is moderate but stable. The BLS projects 4% growth for hand laborers and material movers through 2034 [6], and supervisors who build strong people skills alongside comfort with new technology will be well positioned as this role keeps evolving.

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Latest AI news for First-Line Supervisors

These articles offer valuable insights for students pursuing careers as First-Line Supervisors of Helpers, Laborers, and Material Movers. As AI reshapes the labor market, understanding its impact is crucial. For instance, the CBS News article highlights which roles are at risk, informing supervisors about workforce changes. Meanwhile, the Washington Post discusses how AI can enhance productivity, suggesting supervisors can leverage technology to improve operations. Staying informed will help students build AI resilience, ensuring they adapt and thrive in an evolving workplace.

More Career Info

Career: First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand

They oversee workers who move materials, making sure tasks are done safely and efficiently while solving any problems that come up.

Employment & Wage Data

* Data estimated from parent occupation

Median Wage

$63,940

Jobs (2024)

10,300

Growth (2024-34)

+4.9%

Annual Openings

1,100

Education

High school diploma or equivalent

Experience

Less than 5 years

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

90% ResilienceCore Task

Perform the same work duties as those supervised or perform more difficult or skilled tasks or assist in their performance.

2

80% ResilienceCore Task

Recommend or initiate personnel actions, such as promotions, transfers, or disciplinary measures.

3

80% ResilienceCore Task

Inspect job sites to determine the extent of maintenance or repairs needed.

4

80% ResilienceSupplemental

Schedule times of shipment and modes of transportation for materials.

5

75% ResilienceCore Task

Review work throughout the work process and at completion to ensure that it has been performed properly.

6

75% ResilienceCore Task

Assess training needs of staff and arrange for or provide appropriate instruction.

7

75% ResilienceCore Task

Participate in the hiring process by reviewing credentials, conducting interviews, or making hiring decisions or recommendations.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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AI Resilience Report for First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand 2026