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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Outdoor Power Equipment and Other Small Engine Mechanics are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled as "Mostly Resilient" because the core tasks of small engine mechanics rely heavily on hands-on skills and personal interaction, which AI can't easily replace. Mechanics need to physically inspect and repair engines, talk to customers, and provide personalized advice, all of which require human judgment and dexterity.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
This career is labeled as "Mostly Resilient" because the core tasks of small engine mechanics rely heavily on hands-on skills and personal interaction, which AI can't easily replace. Mechanics need to physically inspect and repair engines, talk to customers, and provide personalized advice, all of which require human judgment and dexterity.
Read full analysisAnalysis of Current AI Resilience
Small Engine Mechanic
Updated Quarterly • Last Update: 2/17/2026

Right now, most work that small engine mechanics do is still done by people, not robots or AI. They must record work done and parts used – data that goes into shop software – but a mechanic has to enter it [1]. Technicians also show customers how to care for their machines in person [1], a personal task that isn’t easily automated.
To find engine problems, mechanics use wrenches, gauges, and basic diagnostic tools [1]. (Some high-end shops use computerized tuners for racing engines [1], but ordinary lawn mowers don’t have smart sensors or AI.) Mechanics talk to customers about a problem and give repair estimates [2]; currently this needs human judgement. Finally, selling parts is mostly a retail task (some parts are online, but shops still help customers in person), and taking apart engines is fully manual. In short, we didn’t find anyone automating these tasks with AI.
Research shows advanced machine diagnostics work only if a device has lots of sensors and data [3], which small engines usually don’t have. So these core tasks remain mostly hands-on – mechanics’ knowledge and personal customer help are still needed.

It’s unlikely that AI tools will arrive quickly in this field. Small engine shops are mostly small businesses with tight budgets, so expensive new tech must really pay off. Mechanics earn about $23 an hour on average [1], and the job outlook is steady (about 4% growth through 2034) [1].
There’s no big labor shortage pushing owners to replace people with machines. Also, to use AI we’d need smart machines, network connections, or sensors on the engines – things we don’t really see in a typical lawnmower. Even technology trade shows focus on better power tools (like new battery-powered chainsaws [4]), not robot mechanics.
Finally, people like having a friendly expert explain things. Earning trust – by listening to a customer’s description and showing them how to tune their mower – is a human skill. In other words, these tasks use hands-on skill and people-sense that AI can’t easily copy (at least not yet).
For now, AI mostly works with mechanics (for example, better shop software or simple fault code readers) rather than instead of them.

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They fix and maintain equipment like lawnmowers and chainsaws, ensuring these machines work properly by diagnosing issues and making necessary repairs.
Median Wage
$46,560
Jobs (2024)
36,900
Growth (2024-34)
+2.5%
Annual Openings
3,500
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Repair and maintain gasoline engines used to power equipment such as portable saws, lawn mowers, generators, and compressors.
Reassemble engines after repair or maintenance work is complete.
Sell parts and equipment.
Replace motors.
Remove engines from equipment, and position and bolt engines to repair stands.
Adjust points, valves, carburetors, distributors, and spark plug gaps, using feeler gauges.
Perform routine maintenance such as cleaning and oiling parts, honing cylinders, and tuning ignition systems.
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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