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Federal data × LLM scoring

AI Career Stats

Food Service Managers: daily tasks & AI impact

This page breaks Food Service Managers into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 41/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.

0 highly automatable 0 safer / physical Back to risk score Alternative careers

High-automation exposure

No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.

Durable human work

This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.

Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.

Task Importance AI probability Nature
Count money and make bank deposits. Core 4.56
Establish standards for personnel performance and customer service. Core 4.54
Keep records required by government agencies regarding sanitation or food subsidies. Core 4.45
Schedule staff hours and assign duties. Core 4.42
Investigate and resolve complaints regarding food quality, service, or accommodations. Core 4.39
Maintain food and equipment inventories, and keep inventory records. Core 4.39
Perform some food preparation or service tasks, such as cooking, clearing tables, and serving food and drinks when necessary. Core 4.35
Monitor budgets and payroll records, and review financial transactions to ensure that expenditures are authorized and budgeted. Core 4.34
Schedule and receive food and beverage deliveries, checking delivery contents to verify product quality and quantity. Core 4.33
Coordinate assignments of cooking personnel to ensure economical use of food and timely preparation. Core 4.32
Organize and direct worker training programs, resolve personnel problems, hire new staff, and evaluate employee performance in dining and lodging facilities. Core 4.28
Assess staffing needs and recruit staff, using methods such as newspaper advertisements or attendance at job fairs. Core 4.2
Estimate food, liquor, wine, and other beverage consumption to anticipate amounts to be purchased or requisitioned. Core 4.19
Monitor food preparation methods, portion sizes, and garnishing and presentation of food to ensure that food is prepared and presented in an acceptable manner. Core 4.18
Monitor compliance with health and fire regulations regarding food preparation and serving, and building maintenance in lodging and dining facilities. Core 4.12

What remains human

No tasks currently fall under the safe threshold for this occupation.

FAQ

Which Food Service Managers tasks are most exposed to AI?

No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.

Which Food Service Managers tasks are safest from Generative AI?

This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.

How should I read the Food Service Managers task table?

Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.

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