Headline risk
2%
Very Low RiskFirst-line supervisors of food preparation and serving workers
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Weighted task overlap from O*NET
Median annual from BLS OEWS
BLS employment projections
O*NET job zone level
Occupation profile
Directly supervise and coordinate activities of workers engaged in preparing and serving food.
Task evidence
100% weighted task match · 8% effective coverage
Method contract
structural_pressure = exposure × (1 - bottleneck)
headline_risk = structural_pressure × (1 - country_demand_resilience)
United States Now
Median Wage
USD 42,010
Employment 2024
1215.0K
Projected Change
6.0%
Openings
183.9K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Resolve customer complaints regarding food service. AI 100%
- 2. Train workers in food preparation, and in service, sanitation, and safety procedures. AI 0%
- 3. Supervise and participate in kitchen and dining area cleaning activities. AI 0%
- 4. Control inventories of food, equipment, smallware, and liquor, and report shortages to designated personnel. AI 0%
- 5. Present bills and accept payments. AI 0%
- 6. Assign duties, responsibilities, and work stations to employees in accordance with work requirements. AI 0%
Technologies
Requirements
Work context
Worker profile
Median age 35.7 · 527K employed
Under 25: 25% · 25–54: 59% · 55+: 16%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
crosswalk_exact · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.