AI JOB SCANNER
O*NET-SOC 51-9197.00 / model V14 rated-task + local-market engine

Will AI replace
Tire Builders?

Operate machines to build tires.

Estimated AI task exposure
37%

Low-Moderate exposure

V11 weights occupation tasks using O*NET Importance, Relevance and Frequency ratings instead of treating every task equally.

20 tasks have usable Task Rating records; weighted-task coverage is 100%.

Digital/info work

45/100

Physical moat

52/100

Human moat

13/100

Rating coverage

100%

20 task statements / 20 rated

Highest-weighted occupation tasks

Fill cuts and holes in tires, using hot rubber.
Importance 85/100Relevance 87/100Frequency 76/100Weight 0.83
Trim excess rubber and imperfections during retreading processes.
Importance 87/100Relevance 79/100Frequency 85/100Weight 0.83
Build semi-raw rubber treads onto buffed tire casings to prepare tires for vulcanization in recapping or retreading processes.
Importance 90/100Relevance 68/100Frequency 90/100Weight 0.82
Buff tires according to specifications for width and undertread depth.
Importance 93/100Relevance 58/100Frequency 88/100Weight 0.78
Fit inner tubes and final layers of rubber onto tires.
Importance 96/100Relevance 55/100Frequency 88/100Weight 0.78
Inspect worn tires for faults, cracks, cuts, and nail holes, and to determine if tires are suitable for retreading.
Importance 88/100Relevance 60/100Frequency 87/100Weight 0.77
Start rollers that bond tread and plies as drums revolve.
Importance 89/100Relevance 57/100Frequency 86/100Weight 0.76
Align treads with guides, start drums to wind treads onto plies, and slice ends.
Importance 89/100Relevance 52/100Frequency 89/100Weight 0.75
Cut plies at splice points, and press ends together to form continuous bands.
Importance 84/100Relevance 54/100Frequency 90/100Weight 0.74
Measure tires to determine mold size requirements.
Importance 88/100Relevance 60/100Frequency 74/100Weight 0.74

Task weighting

Each rated task receives a composite weight: 38% relevance, 37% importance and 25% frequency. Core tasks receive a small additional multiplier. Low-precision rows flagged by O*NET for suppression are excluded.

Occupation scoring

When rating coverage is strong, rated tasks contribute 60% of the digital, physical and human task signals and Work Activities contribute 40%. Lower-coverage occupations automatically rely more on Work Activities.

U.S. labor market

BLS Wage & Employment Outlook

Median annual wage

$57,390

BLS OEWS May 2025

National employment

20,770

BLS OEWS May 2025

Projected growth

+0.8%

BLS Employment Projections 2025–2035

Average annual openings

2

BLS Employment Projections 2025–2035

BLS labor-market figures are separate from the site's AI-exposure model. Missing values mean a compatible detailed BLS occupation estimate was not published or could not be mapped.

CHECK PAY WHERE YOU LIVE

Career pivot radar

Safer Career Alternatives

These options are selected from the same 923-occupation model. They favor a similar task/work profile with meaningfully lower estimated AI exposure. They are suggestions for exploration, not guarantees of job fit.

Personalized career defense protocol

AI-Proofing Plan

AUTOMATE

    AUGMENT

      PROTECT

        LEARN

          AI-PROOFING RESOURCES

          What this score does not mean

          The percentage is a comparative task-exposure index. It is not the probability that this occupation disappears, that a worker is laid off, or that AI can perform the entire job.

          New in V11

          Find a Safer Career Path

          High exposure does not mean starting over. V11 compares your occupation with the other 922 O*NET occupations and surfaces lower-exposure options with similar work profiles.

          EXPLORE CAREER ALTERNATIVES
          I am your guide.
          Knowledge is your strongest upgrade.