Medium AI Risk Average

Tire builders

SOC Code: 51-9197

Tire builders carries a 26% AI exposure score (Medium automation risk), with a median annual wage of $55,580 and +2.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 20,900 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
26% Medium
Below-average exposure

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

Projected Growth
+2.3%
Typical growth
2024–2034 (BLS)
+500 jobs
Median Annual Wage
$55,580
Typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 26% AI exposure, Tire builders sits 11 points below the 37.2% average across 832 U.S. occupations - more exposed than 18% of them. Most of its core tasks still require human judgment.

26%
AI exposure
18th
percentile
+2.3%
Job growth 2024–34
$55,580
Median wage
C

Career outlook score

57/100

Tire builders, 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 D $55,580

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth D +2.3%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) A- 26% 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 Tire builders in the Medium band.

Credential × growth standing

Open entry with non-declining BLS pace

Tire builders keeps an HS / some college bar (333 of 832) and sits in Average (378 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.

Where Tire builders sits among all occupations

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

Where Tire builders sits by AI exposure

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

26% Among the lowest lower than 82% 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.

Tire builders vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Tire builders is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk24.9%30.7%36.5%42.3%48.0%-11.5%-7.0%-2.5%1.9%6.4%AI exposure (%) →Projected growth (%) →Tire builders, AI exposure (%) →: 26% · Projected growth (%) →: 2.3%Tire buildersMiscellaneous assemb, AI exposure (%) →: 35% · Projected growth (%) →: -0.1%Miscellaneous assembFirst-line superviso, AI exposure (%) →: 35% · Projected growth (%) →: 1.2%First-line supervisoInspectors, AI exposure (%) →: 47% · Projected growth (%) →: 0%InspectorsWelders, AI exposure (%) →: 29% · Projected growth (%) →: 2.2%WeldersPackaging, AI exposure (%) →: 42% · Projected growth (%) →: 4.5%PackagingMachinists, AI exposure (%) →: 30% · Projected growth (%) →: 0%MachinistsProduction workers, AI exposure (%) →: 35% · Projected growth (%) →: 0.5%Production workersElectrical, AI exposure (%) →: 35% · Projected growth (%) →: 4.6%ElectricalBakers, AI exposure (%) →: 37% · Projected growth (%) →: 5.6%BakersLaundry, AI exposure (%) →: 31% · Projected growth (%) →: 5.4%LaundryComputer numerically, AI exposure (%) →: 36% · Projected growth (%) →: -10.7%Computer numerically

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

Employment Projections

20,900
Employment 2024
21,400
Projected 2034
+2.3%
Change (%)
+500
Change (jobs)

Where This Score Comes From

Tire builders'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 51-9197) 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 Tire builders 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 Tire builders. 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
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Place tires into molds for new tread.
  2. 2. Fit inner tubes and final layers of rubber onto tires.
  3. 3. Buff tires according to specifications for width and undertread depth.
  4. 4. Build semi-raw rubber treads onto buffed tire casings to prepare tires for vulcanization in recapping or retreading processes.
  5. 5. Brush or spray solvents onto plies to ensure adhesion, and repeat process as specified, alternating direction of each ply to strengthen tires.
  6. 6. Start rollers that bond tread and plies as drums revolve.
  7. 7. Align treads with guides, start drums to wind treads onto plies, and slice ends.
  8. 8. Inspect worn tires for faults, cracks, cuts, and nail holes, and to determine if tires are suitable for retreading.
  9. 9. Measure tires to determine mold size requirements.
  10. 10. Trim excess rubber and imperfections during retreading processes.

Key Skills Required

  • Operation and Control
  • Operations Monitoring
  • Active Listening
  • Critical Thinking
  • Monitoring
  • Judgment and Decision Making
  • Time Management
  • Speaking
  • Quality Control Analysis
  • Social Perceptiveness

Knowledge Areas

  • Production and Processing
  • Administration and Management
  • Mechanical
  • English Language
  • Engineering and Technology
  • Public Safety and Security
  • Education and Training
  • Customer and Personal Service
  • Mathematics
  • Design

Frequently Asked Questions

Will AI replace Tire builders?

Tire builders has an AI exposure score of 26%, 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 Tire builders?

According to BLS Employment Projections 2024-2034, Tire builders is projected to grow by 2.3% over the decade. Current employment stands at approximately 20,900 workers.

What skills are needed for Tire builders?

Key skills for Tire builders include Operation and Control, Operations Monitoring, Active Listening, and others. Typical entry-level education is High school diploma or equivalent.

How much do Tire builders earn?

The median annual wage for Tire builders is $55,580, 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 Tire builders?

The typical entry-level education for Tire builders is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Tire builders?

Tire builders 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

1.3
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Tire builders: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (26% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+2.3% 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 Tire builders' 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.