SAFE
The core of this job — pulling a carburetor, setting valve clearances, chasing an intermittent electrical fault in a 20-year-old wiring harness, road-testing after a suspension rebuild — happens with hands on greasy metal in a bay full of non-standard machines, and no current robot comes close. AI is already eating the paperwork layer: service writeups, parts lookup, warranty claims, and first-pass diagnostic suggestions from OBD/CAN scan data. There's no licensure moat, and demand is discretionary and tied to riding culture, so the real risks are shop economics and consolidation rather than automation.
This fall is concentrated in 2020 and has not recovered since.
Median pay $37,600 → $48,580 +3.4% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+5.3% 14,900 → 15,700 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +5.3% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~1,500 openings a year on average, including replacing people who leave.
Bike BuilderFrame RepairerBike TechnicianLube TechnicianScooter MechanicVehicle MechanicDirt Bike MechanicFrame StraightenerService TechnicianCustom Bike BuilderMotor Bike MechanicMotorcycle MechanicMotorcycle RepairerMotorcycle FabricatorMotorcycle TechnicianMotor Scooter MechanicMotorsports TechnicianMotor Vehicle TechnicianMotorcycle Sales AssociateMotorcycle Service TechnicianMotorcycle Subassembly RepairerAll Terrain Vehicle Technician (ATV Technician)
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Shimming valve buckets on a race-tuned inline-four, splitting cases to replace a shift fork, syncing four carbs by vacuum gauge, and then feeling for a headshake at 60 mph on the test ride are tasks with no digital equivalent — the 17 rather than 20 reflects that scan-tool fault trees, torque-spec lookup, parts ordering, and customer estimates are already software, so a real slice of the billable day is being thinned out.
Hands-on in uncontrolled environments Everything happens at the lift: contorting to reach a rear shock linkage, breaking loose a seized exhaust stud with heat, bleeding brakes, wrestling a tire onto a spoked rim, and road-testing in traffic — and no two machines in the bay share a layout, from a 1978 CB750 to a fuel-injected adventure bike, which is exactly the unstructured-environment case robotics cannot touch.
No licence, no signature requirement There is no state licence to hold or lose — you can open a shop and turn wrenches with zero credential, and the 4 rather than 0 exists only because OEM/factory certifications (Harley-Davidson PHD, Honda, BMW) and EPA emissions-tampering rules under the Clean Air Act put some formal weight on who does the work, but the liability lands on the shop's insurance, not your personal ticket.
Meaningful discretion Calling a frame unsafe to ride, deciding whether that top-end noise justifies tearing into the motor on the customer's dime, or judging a used chain and sprocket set as good for another 3,000 miles are calls you own with someone's neck at stake — held to 13 rather than higher because factory service manuals, torque values, and wear-limit specs bound most decisions and the owner signs off on the estimate.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (17/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (4/20) is whether the law requires a licensed human to sign. Trust premium (14/20) is whether buyers specifically pay for a person. Judgment and accountability (13/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 31 of this occupation's 68 points (46%).
Embodiment (20/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 84/100, still SAFE.
Manufacturer/EPA enforcement tightening on emissions and ECU tuning: a rule requiring a factory-certified technician to authorize or document any ECU reflash or aftermarket exhaust/tune (analogous to EPA's defeat-device enforcement against tuners), plus OEM cybersecurity locks on ride-by-wire and ABS calibration that only a credentialed tech account can unlock.
Continued growth of the vintage/restoration and custom-build segment, where buyers explicitly pay for a named builder's hand work and provenance documentation (auction houses like Mecum already price bikes on who did the rebuild). This is a real, visible premium but it is a niche within the occupation, not the whole of it.
Task-mix shift: as scan-tool AI handles code-reading, parts lookup and first-pass fault trees, the residual work is the ambiguous cases — intermittent harness faults, misfires the scanner reads as normal, deciding whether a 20-year-old frame is safe to return to the road. The call on 'safe to ride' with a customer's life attached is owned by the tech and does not delegate.
State-level motorcycle safety inspection regimes that require a certified technician to personally sign off on brakes, tires and frame integrity — as already exists in Pennsylvania's annual motorcycle safety inspection (a certified inspection mechanic at a licensed station signs the certificate and is liable for fraudulent inspections). If more states adopt motorcycle inspection or if NHTSA/insurer pressure pushes post-crash frame-damage certification, the signature becomes a legal requirement rather than a courtesy.
Expanded use of independent techs as expert witnesses and insurer-appointed appraisers in motorcycle crash and total-loss disputes, where a written opinion on mechanical causation carries discoverable weight.
The limit. task_resistance (17) and embodiment (20) are already effectively at ceiling; there is no realistic route to raising them further. The genuine downside risk here is not automation but shop consolidation, dealer-network contraction and declining ridership — none of which any of these levers touch. A higher liability_shield score would also not protect against a shrinking number of bays.
| Los Angeles-Long Beach-Anaheim, CA | 580 | $64,070 +32% |
| Dallas-Fort Worth-Arlington, TX | 320 | $61,880 +27% |
| New York-Newark-Jersey City, NY-NJ | 250 | $60,320 +24% |
| San Diego-Chula Vista-Carlsbad, CA | 230 | $61,820 +27% |
| Riverside-San Bernardino-Ontario, CA | 210 | $46,350 -5% |
| Chicago-Naperville-Elgin, IL-IN | 200 | $42,770 -12% |
| Houston-Pasadena-The Woodlands, TX | 200 | $46,120 -5% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 180 | $60,360 +24% |
| Fresno, CA | 40 | $68,540 +41% |
| Los Angeles-Long Beach-Anaheim, CA | 580 | $64,070 +32% |
| Reno, NV | 40 | $62,910 +29% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 68. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.