The AI Impact Timeline: What to Expect
By 2030, approximately 40% of installation, maintenance, and repair helper tasks will be automated. Routine tasks like tool fetching, basic cleaning, simple parts organization, and standard support functions are increasingly susceptible to AI integration. This automation is already beginning to reshape the landscape of these roles.
Entry-level helpers who are not actively developing specialized technical trade skills face the earliest impact, with potential job disruption beginning as soon as 2027. This highlights the immediate need for upskilling and career transition planning.
While automation reduces the need for basic helper functions, skilled trades are experiencing severe labor shortages. This creates an opportunity for helpers to transition into technician roles, extending career viability beyond 2033.