Key findings
In the field of Outdoor Power Equipment and Other Small Engine Mechanics, blue-collar workers are set to remain shielded from major AI disruption.
Generative artificial intelligence (GenAI) is unlikely to automate tasks such as diagnosing, adjusting, repairing, or overhauling small engines for lawn mowers and chain saws.
The work relies heavily on skills like active listening, critical thinking, and troubleshooting, which are not easily replicable by AI.
While some skills in this field may be automated in the future, the unique nature of the work and the physical demands involved make it less susceptible to automation.
As the demand for premium goods and services grows, the need for skilled blue-collar workers may even increase, leading to a rise in their income share.
While automation may impact certain aspects of the job, the core tasks that require human expertise and physical dexterity are likely to remain within the realm of human workers for the foreseeable future.
How could AI or automation replace or complement job activities?
AI and automation could be utilized to streamline activities like recording repairs, diagnosing malfunctions through testing, and inspecting engines using diagnostic instruments in the job of fixing small engine equipment.
Additionally, tasks such as routine maintenance, obtaining repair estimates, and even providing maintenance instructions to customers could be automated.
For instance, AI could assist in diagnosing engine issues based on customer descriptions and generating repair cost estimates.
Job description
Diagnose, adjust, repair, or overhaul small engines for lawn mowers, chain saws, and other equipment.
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