Will AI replace tire builders?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 8h (100%) stays with people. Separately, BLS expects about 0.8% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

Not in workplaces like this one, based on a 2026 review of robot deployments. 20 more tasks have only been done in factory setups built around the machine, so they stay with people here.

8h of a typical shift, or 100%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Depress pedals to rotate drums, and wind specified numbers of plies around drums to form tire bodies. (1h 4m a shift)
• Build semi-raw rubber treads onto buffed tire casings to prepare tires for vulcanization in recapping or retreading processes. (51m a shift)
• Buff tires according to specifications for width and undertread depth. (38m a shift)
• Align treads with guides, start drums to wind treads onto plies, and slice ends. (32m a shift)
• Pull plies from supply racks, and align plies with edges of drums. (32m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 100% spend more than half the day on their feet
• 97% use their hands on tools, objects or controls more than half the time
• 76% work at arm's length or closer to other people

On Indeed, job postings in the Production & Manufacturing sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 12.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 1,900 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $57,390 a year ($27.59 an hour), 13% above the median for all U.S. jobs ($50,980). Most people in this job earn between $40,150 and $74,680 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 0.8% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 21,000 jobs in 2035. It expects about 1,900 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 21,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 542nd largest of the 796 jobs on this site. BLS expects about 21,000 in 2035.

The most common requirement is a high school diploma: about 66% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Operation and Control, Operations Monitoring, Monitoring, Critical Thinking
• Get strong at the parts of the job that stay with people (listed above), which take 8h of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Office software, Microsoft Outlook, Microsoft PowerPoint, Microsoft Project

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Structural Metal Fabricators and Fitters (0m touched, $51k median pay)
• Textile Knitting and Weaving Machine Setters, Operators, and Tenders (3h 1m touched, $40k median pay)
• Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders (53m touched, $48k median pay)
• Molders, Shapers, and Casters (6m touched, $46k median pay)
• Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders (2h 36m touched, $44k median pay)

Each task carries its own evidence label. For this job: 20 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.