Share and intensity of work current AI systems can materially affect.
SOC 49-3091
Bicycle Repairers AI displacement risk
Bicycle repairers assemble, tune, and repair bikes, and help customers find the right fit. E-bikes added electronic diagnostics to the mechanical craft, but wheel truing, brake bleeding, and fit judgment happen at the bench with the bike and the rider present.
Likely potential for exposed tasks to move to software after workflow integration.
E-bike growth is the trade's tailwind: more expensive bikes mean more service revenue, and the electronic systems add diagnostic work rather than remove it. Shop labor remains scarce in every cycling market.
Distribution
Where Bicycle Repairers sits across 620 tracked roles
Displacement pressure 14 — higher than 8% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
18 O*NET task statements matched to SOC 49-3091. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $42,780 (May 2025, US national). The latest BLS row matched SOC 49-3091.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Bicycle Repairers
SOC 49-3091 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 14/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Bicycle Repairers
The current evidence import matched 18 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks18
SOC49-3091
- Core task / ID 5184
Install and adjust speed and gear mechanisms.
- Core task / ID 20915
Install and adjust brakes and brake pads.
- Core task / ID 20918
Install new tires and tubes.
- Core task / ID 5185
Assemble new bicycles.
- Core task / ID 24056
Estimate costs of repairing bicycles and write service tickets.
- Core task / ID 5186
Install, repair, and replace equipment or accessories, such as handlebars, stands, lights, and seats.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Install and adjust brakes and brake pads
Exposure 18, automation 7%, augmentation 36%.
O*NET evidence: Install and adjust brakes and brake pads. (ID 20915)
Help customers select bicycles that fit
Exposure 24, automation 10%, augmentation 48%.
O*NET evidence: Help customers select bicycles that fit their body sizes and intended bicycle uses. (ID 20916)
Assemble new bicycles
Exposure 16, automation 6%, augmentation 30%.
O*NET evidence: Assemble new bicycles. (ID 5185)
Align wheels
Exposure 16, automation 6%, augmentation 32%.
O*NET evidence: Align wheels. (ID 5187)
TaskExposureAutomationAugmentation
Install and adjust brakes and brake pads187%36%
Help customers select bicycles that fit2410%48%
Assemble new bicycles166%30%
Align wheels166%32%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowHead Mechanic or Shop Manager
Training horizon: 6-12 months. Skill overlap 66. Wage preservation signal 122.
- Lead the service department
- Own e-bike certifications
- Manage parts inventory
role redesign
LowMobile Bicycle Service Operator
Training horizon: 3-6 months. Skill overlap 62. Wage preservation signal 112.
- Run van-based repair routes
- Serve fleet and event clients
- Build a booking channel
Comparison guides
Compare the next move before you commit
6-12 months
Bicycle Repairers to Head Mechanic or Shop Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Bicycle Repairers into Head Mechanic or Shop Manager.
3-6 months
Bicycle Repairers to Mobile Bicycle Service Operator
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Bicycle Repairers into Mobile Bicycle Service Operator.
What the AI risk score means for Bicycle Repairers
The displacement pressure score for Bicycle Repairers is 14. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Help customers select bicycles that fit carries 10% automation pressure, while Help customers select bicycles that fit carries 48% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $42,780 (May 2025, US national). Employment context: Hands-on bike shop work with an e-bike upgrade. Typical education: High school plus shop experience.
Wage vulnerability is 56, while transition feasibility is 58. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- E-bikes add diagnostic work
- Bench repair stays hands-on
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Bicycle Repairers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Bicycle repair
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
E-bike diagnostics
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Customer fitting
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Wheel truing technique
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Head Mechanic or Shop Manager, such as lead the service department.
- By 90 days, compare internal openings and external postings for Head Mechanic or Shop Manager or Mobile Bicycle Service Operator and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Bicycle Repairers
Will AI replace Bicycle Repairers?
Bicycle repairers assemble, tune, and repair bikes, and help customers find the right fit. E-bikes added electronic diagnostics to the mechanical craft, but wheel truing, brake bleeding, and fit judgment happen at the bench with the bike and the rider present. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Bicycle Repairers work are most exposed to AI?
Help customers select bicycles that fit and Install and adjust brakes and brake pads show the strongest automation pressure in this model. Help customers select bicycles that fit and Install and adjust brakes and brake pads are better treated as AI-augmented work.
What should Bicycle Repairers learn next?
Start with Bicycle repair, E-bike diagnostics, Customer fitting. The most practical adjacent paths in this model are Head Mechanic or Shop Manager and Mobile Bicycle Service Operator.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics