Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for First-Line Supervisors:

46.8%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium-high

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 five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. 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 in this field, six of eight sources had data. On AI exposure, sources split: Will Robots Take My Job saw moderate human value, while AI Resilience Model and OpenAI Signals rated exposure high, pulling the Meaningful Human Contribution sub-score low. Steady demand and solid adaptive capacity helped, landing the role at "Somewhat Resilient" with medium-high confidence.

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

$58,170 median salary900 annual openingsSOC Code: 53-1042.00

First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

This career sits in the "Somewhat Resilient" category because AI is genuinely changing how the work gets done, even if it is not eliminating the role entirely. The routine, paperwork-heavy parts of the job (like logging inspection results, tracking inventory, and monitoring worker performance) are being handled more and more by automated systems, which means supervisors who only focus on those tasks will find their responsibilities shrinking.

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This role is somewhat resilient

This career sits in the "Somewhat Resilient" category because AI is genuinely changing how the work gets done, even if it is not eliminating the role entirely. The routine, paperwork-heavy parts of the job (like logging inspection results, tracking inventory, and monitoring worker performance) are being handled more and more by automated systems, which means supervisors who only focus on those tasks will find their responsibilities shrinking.

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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 thinking about a career leading warehouse and material-moving teams, here's the good news: AI is mostly showing up as a helper, not a replacement. A big new study from MIT's Intelligent Logistics Systems Lab and Mecalux found that more than 90% of warehouses now use some form of AI or advanced automation, and roughly 60% are operating at advanced maturity levels, supporting workflows like labor planning, performance monitoring, safety risk detection, inventory accuracy, and order routing [1]. That covers exactly the paperwork-heavy tasks (like logging inspection results or checking loaded materials against work orders) where the automation scores are highest.

On the people side, the same research shows more than three-quarters of surveyed organizations saw a rise in employee satisfaction after implementing AI, and over half reported increased workforce size, driven by new roles such as AI/ML engineers, automation specialists, process-improvement experts, and data scientists. Supervisors are shifting toward coaching, exception-handling, and robot oversight — Gartner predicts by 2030, 80% of humans in warehouses will engage with smart robots on a daily basis, and one in 20 supply chain managers will manage robots rather than humans [2].

Sources

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AI Adoption

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

Adoption is moving fast. The 2026 MHI Annual Industry Report found 41% of supply chain companies are using AI, up from 30% the year before, with top uses including automating decisions in operations [3], and labor shortages and rising wage costs are persistent drivers of automation adoption, with warehousing roles increasingly difficult to fill. Still, broader Federal Reserve tracking shows AI uptake is strongest in professional and financial services rather than physical-operations sectors [4], so full deployment on the warehouse floor lags.

The biggest slowdowns are change management, data quality, and integrating legacy systems — meaning human supervisors who can coach teams, resolve conflicts, and troubleshoot are more valuable than ever.

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Will AI replace First-Line Supervisors?

Will AI replace First-Line Supervisors?

Not entirely. We think AI will take over some tasks, but not the whole job.

Our data gives this role a 46.8% AI Resilience Score, which tells you the impact is real but not total. AI is already handling a lot of the paperwork-heavy work: logging inspection results, monitoring performance, routing orders, and flagging safety risks. More than 90% of warehouses now use some form of AI or advanced automation [1], and that number is climbing fast, with 41% of supply chain companies actively using AI, up from 30% the year before [3].

What stays human is the messy, relational part of the job. Coaching a struggling worker, resolving a conflict on the floor, making a judgment call when something goes sideways, these are not things an algorithm handles well. Gartner predicts that by 2030, 80% of warehouse workers will engage with smart robots daily [2], which means supervisors are becoming robot wranglers and team coaches more than clipboard managers.

The economic picture is mixed but not grim. Adaptive capacity scores for this role are strong, meaning people in this work have real options to shift with the changes. The workers who will do best are the ones who get comfortable with automation tools while doubling down on the human skills no system can replicate.

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Latest AI news for First-Line Supervisors

These articles provide valuable insights for students interested in becoming First-Line Supervisors of Helpers, Laborers, and Material Movers. The BLS article highlights the risk of job displacement due to automation, emphasizing the need for adaptability in a changing work landscape. Meanwhile, the AI Job Checker indicates a moderate risk of AI replacement, suggesting that while full automation is unlikely, significant changes are on the horizon. By staying informed and developing skills that complement AI technologies, students can enhance their resilience and thrive in this evolving career path.

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

$58,170

Jobs (2025)

9,700

Growth (2025-35)

+9.3%

Annual Openings

900

Education

High school diploma or equivalent

Experience

Less than 5 years

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

92% ResilienceCore Task

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

2

86% ResilienceCore Task

Resolve personnel problems, complaints, or formal grievances when possible, or refer them to higher-level supervisors for resolution.

3

85% ResilienceCore Task

Counsel employees in work-related activities, personal growth, or career development.

4

78% ResilienceCore Task

Collaborate with workers and managers to solve work-related problems.

5

75% ResilienceCore Task

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

6

72% ResilienceCore Task

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

7

72% 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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