First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand
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Directly supervise and coordinate the activities of helpers, laborers, or material movers, hand.
The occupation "First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand" has an automation risk of 58.5%, which is only slightly lower than its base risk of 59.4%. This suggests that much of the work performed in this role is relatively susceptible to automation, though not as highly as some other manual or supervisory jobs. The primary reason for this moderate level of risk is that a significant portion of the tasks involved in this occupation are routine, rule-based, or revolve around monitoring and process-checking — functions that can be effectively managed by automated systems or advanced machine learning algorithms. Among the most automatable tasks for this occupation are maintaining a safe working environment through monitoring safety procedures and equipment, collaborating with workers and managers to resolve work-related problems, and reviewing work at various stages to ensure proper completion. These tasks, while requiring some degree of human oversight and judgment, increasingly rely on standardized procedures and checklists. Automation technologies such as sensors, real-time analytics, workflow management software, and even AI-powered collaboration platforms make it feasible to either significantly reduce or completely automate these workplace activities, especially in environments with well-defined protocols and metrics. Conversely, certain tasks present significant resistance to automation due to their need for nuanced human judgment, interpersonal skills, and context awareness. The top three automation-resistant tasks for this occupation are inspecting job sites to determine the extent of maintenance or repairs needed, assisting with unit budgets and policy development, and quoting prices to customers. These activities often require on-the-spot evaluation, negotiation skills, customer interaction, and creative problem-solving—areas where humans currently excel over machines. Moreover, the identified bottleneck skills, such as originality (rated at 2.6% and 3.0%), indicate a relatively low reliance on creative or innovative thinking in this role, but these modest requirements still provide a barrier to full automation, underlining the importance of human adaptability and unpredictable decision-making in certain facets of the position.