AI JOB RISK SCANNER
O*NET-SOC 51-9197.00 / model V11 rated-task 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.

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

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          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.

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