Medium AI Risk Slow Growth

First-line supervisors of protective service workers, all other

SOC Code: 33-1099

First-line supervisors of protective service workers, all other carries a 35% AI exposure score (Medium automation risk), with a median annual wage of $74,960 and +1.6% projected employment growth from 2024 to 2034 (BLS), affecting approximately 21,500 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
35% Medium
Typical exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+1.6%
Typical growth
2024–2034 (BLS)
+300 jobs
Median Annual Wage
$74,960
Typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 35% AI exposure, First-line supervisors of protective service workers, all other sits 2 points below the 37.2% average across 832 U.S. occupations - more exposed than 53% of them. Most of its core tasks still require human judgment.

35%
AI exposure
Top 47%
most exposed
+1.6%
Job growth 2024–34
$74,960
Median wage
C-

Career outlook score

53/100

First-line supervisors of protective service workers, all other, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage B $74,960

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth D +1.6%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) D 35% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with First-line supervisors of protective service workers, all other in the Medium band.

Credential × growth standing

Open entry with non-declining BLS pace

First-line supervisors of protective service workers, all other keeps an HS / some college bar (333 of 832) and sits in Slow growth (245 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.

Where First-line supervisors of protective service workers, all other sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where First-line supervisors of protective service workers, all other sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

35% Around the middle lower than 47% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

First-line supervisors of protective service workers, all other vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. First-line supervisors of protective service workers, all other is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk22.4%36.5%50.5%64.5%78.5%-8.5%-4.7%-1%2.7%6.5%AI exposure (%) →Projected growth (%) →First-line superviso, AI exposure (%) →: 35% · Projected growth (%) →: 1.6%First-line supervisoSecurity guards, AI exposure (%) →: 31% · Projected growth (%) →: 0.4%Security guardsPolice, AI exposure (%) →: 40% · Projected growth (%) →: 3.1%PoliceCorrectional officer, AI exposure (%) →: 43% · Projected growth (%) →: -7.8%Correctional officerFirefighters, AI exposure (%) →: 25% · Projected growth (%) →: 3.4%FirefightersFirst-line superviso, AI exposure (%) →: 42% · Projected growth (%) →: 2.9%First-line supervisoLifeguards, AI exposure (%) →: 39% · Projected growth (%) →: 5.8%LifeguardsDetectives, AI exposure (%) →: 76% · Projected growth (%) →: -0.7%DetectivesFirst-line superviso, AI exposure (%) →: 26% · Projected growth (%) →: 3.4%First-line supervisoCrossing guards, AI exposure (%) →: 31% · Projected growth (%) →: 3.6%Crossing guardsProtective service w, AI exposure (%) →: 32% · Projected growth (%) →: 2.5%Protective service wFirst-line superviso, AI exposure (%) →: 41% · Projected growth (%) →: 2.7%First-line superviso

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

21,500
Employment 2024
21,800
Projected 2034
+1.6%
Change (%)
+300
Change (jobs)

Where This Score Comes From

First-line supervisors of protective service workers, all other's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 33-1099) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets First-line supervisors of protective service workers, all other be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes First-line supervisors of protective service workers, all other. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
Less than 5 years
On-the-Job Training
None

Frequently Asked Questions

Will AI replace First-line supervisors of protective service workers, all other?

First-line supervisors of protective service workers, all other has an AI exposure score of 35%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for First-line supervisors of protective service workers, all other?

According to BLS Employment Projections 2024-2034, First-line supervisors of protective service workers, all other is projected to grow by 1.6% over the decade. Current employment stands at approximately 21,500 workers.

What skills are needed for First-line supervisors of protective service workers, all other?

First-line supervisors of protective service workers, all other requires a combination of technical knowledge and interpersonal skills. Typical education requirement: High school diploma or equivalent.

How much do First-line supervisors of protective service workers, all other earn?

The median annual wage for First-line supervisors of protective service workers, all other is $74,960, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for First-line supervisors of protective service workers, all other?

The typical entry-level education for First-line supervisors of protective service workers, all other is High school diploma or equivalent. Employers generally expect Less than 5 years of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ First-line supervisors of protective service workers, all other?

First-line supervisors of protective service workers, all other roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.8
out of 5.0

Medium automation risk based on O*NET task analysis. Most tasks require human judgment and are resistant to automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for First-line supervisors of protective service workers, all other: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (35% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+1.6% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use First-line supervisors of protective service workers, all other's numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.