Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Tire Repairers & Changers:

56.2%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient tire repair and changing work 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 tire repairers and changers, six of eight sources had data. On AI exposure, AI Resilience Model and Microsoft both saw the hands-on physical work staying human, while Will Robots Take My Job flagged more risk, leaving confidence at medium. Steady but modest demand and limited wage mobility keep the score at "Mostly Resilient."

AI Resilience Report forTire Repairers and Changers

$37,710 median salary12,900 annual openingsSOC Code: 49-3093.00

Tire Repairers and Changers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Tire repairing and changing is labeled "Mostly Resilient" because while AI and robotics are starting to show up in shops (like the SmartBay robot that can handle mounting and balancing), humans are still needed for the hands-on, judgment-based parts of the job, like patching casings, handling tricky repairs, and talking with customers. The bigger story here is augmentation, not replacement, meaning the technology is designed to help one technician manage more bays at once, not to eliminate the technician entirely.

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This role is mostly resilient

Tire repairing and changing is labeled "Mostly Resilient" because while AI and robotics are starting to show up in shops (like the SmartBay robot that can handle mounting and balancing), humans are still needed for the hands-on, judgment-based parts of the job, like patching casings, handling tricky repairs, and talking with customers. The bigger story here is augmentation, not replacement, meaning the technology is designed to help one technician manage more bays at once, not to eliminate the technician entirely.

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Analysis of Current AI Resilience

Tire Repairers & Changers

Updated Quarterly

Analysis
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State of Automation

How is AI changing Tire Repairers & Changers jobs?

The tire service world is having a big AI moment right now, but it's not the "robots replacing everyone" story you might expect. In May 2026, a Boston-based startup called Automated Tire, Inc. unveiled SmartBay, described by The Robot Report as an AI-powered robotic platform that automates tire changes and vehicle inspections [1] using computer vision. The system changes two tires at a time without removing the wheels from the car, and Fox News reports that SmartBay handles mounting, balancing and inspections with minimal human intervention [2].

A human is still needed to remove the old tire, position the new one, connect the air line, and install balance weights — so this is really augmentation, not full replacement. The trade publication Tire Business calls the machine an AI-powered, tire-changing, wheel-balancing robot promising accuracy and automation [3] for busy shops. Beyond the flashy robot, Tire Review notes that autonomous inspection systems collect data as vehicles pass over a plate, and voice-powered repair assistants provide service info without technicians stepping away [4] — quietly boosting tasks like tire inspection and size ID.

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AI Adoption

How fast is AI adoption growing for Tire Repairers & Changers?

Adoption pressure is real because the industry is desperate for workers. Tomorrow's Technician reports that automotive needs 70,865 new technicians per year while projected supply sits at 50,085, leaving 20,780 positions unfilled annually [5]. SmartBay directly targets this gap — Axios notes it lets one technician oversee up to three service bays at once, cutting a tire job to about 30 minutes [6].

But adoption will likely be gradual: the machines are expensive, only a few vendors exist, and earlier attempts flopped — RoboTire went bankrupt in 2023 after raising millions. The good news for young workers: hands-on skills like patching casings, gluing rubber, and assisting mechanics remain hard to automate, and shops still need humans to supervise robots, talk with customers, and handle the tricky, judgment-based repairs that machines can't touch yet.

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Will AI replace Tire Repairers & Changers?

Will AI replace Tire Repairers & Changers?

No. We don't think AI will replace Tire Repairers and Changers, though we do expect the job to change.

That view is backed by our 56.2% AI Resilience Score, which puts this career in "Mostly Resilient" territory. Yes, automation is arriving. A robotic platform called SmartBay can now handle mounting, balancing, and inspections with minimal human help [2], and autonomous inspection tools are quietly taking over routine tasks like tire sizing [4]. But "arriving" is not the same as "taking over." RoboTire went bankrupt in 2023 after raising millions, which is a reminder that flashy tech does not always stick.

The stronger story here is augmentation, not replacement. SmartBay still needs a human to remove the old tire, position the new one, and connect the air line [2]. One technician can now oversee up to three bays at once [6], which actually makes skilled workers more valuable, not less. Patching casings, handling tricky repairs, and talking with customers are all things machines cannot reliably do yet.

Demand also supports the case for humans. The automotive industry needs roughly 20,780 more technicians per year than training programs currently produce [5]. Robots are being built to fill that gap, not to push people out of it.

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Latest AI news for Tire Repairers & Changers

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More Career Info

Career: Tire Repairers and Changers

They fix or replace car tires to ensure vehicles run smoothly and safely on the road.

Employment & Wage Data

Median Wage

$37,710

Jobs (2025)

112,200

Growth (2025-35)

+3.4%

Annual Openings

12,900

Education

High school diploma or equivalent

Experience

None

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

82% ResilienceCore Task

Assist mechanics and perform various mechanical duties, such as changing oil or checking and replacing batteries.

2

80% ResilienceCore Task

Glue tire patches over ruptures in tire casings, using rubber cement.

3

78% ResilienceCore Task

Seal punctures in tubeless tires by inserting adhesive material and expanding rubber plugs into punctures, using hand tools.

4

75% ResilienceCore Task

Replace valve stems and remove puncturing objects.

5

75% ResilienceCore Task

Patch tubes with adhesive rubber patches or seal rubber patches to tubes, using hot vulcanizing plates.

6

72% ResilienceCore Task

Reassemble tires onto wheels.

7

70% ResilienceCore Task

Remount wheels onto vehicles.

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.

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