Cooks

AI Overlap Index
23.7 / 100
Insulated

Embodied skill, frontline presence, or deep institutional judgment. Most insulated.

SOC 35-2010 · Food Preparation And Serving

Bureau of Labor Statistics
Median pay
$35,760/yr
Hourly
$17/hr
Jobs 2024
2,805,100
Projected 2034
2,935,700
10-yr outlook
+5% · Faster than average
Employment change
130,600
Entry education
See How to Become One
SOC code
35-2010

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
18.2
contribution to AOI: 10.9
Automation Potential weight 10%
30.0
contribution to AOI: 3.0
Market Pressure weight 15%
30.0
contribution to AOI: 4.5
Entry Barrier Erosion weight 15%
35.0
contribution to AOI: 5.2

By seniority

multiplicative adjustment from category curve

Entry
28.0
mult 1.18x
Mid
23.7
mult 1.00x
Senior
19.4
mult 0.82x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

9 tasks · model: claude-sonnet-4-5-20250929
Supporting t9

Order supplies and maintain stock room

AI systems can analyze inventory levels, predict usage patterns, generate orders, and track stock with minimal human input. Integration with POS and inventory management systems allows automated reordering. Human review of orders and physical stock organization remain, but the cognitive work of supply ordering is highly automatable.

BLS evidence: The text notes 'Some restaurant cooks order supplies and help maintain the stock room.'

68
automation
Important t6

Coordinate with other cooks and kitchen workers to complete meals on time

AI could assist with scheduling and communication tools, but coordination requires real-time verbal communication in noisy environments, reading social cues from team members, and making split-second priority adjustments based on kitchen dynamics that AI cannot fully perceive or influence without physical presence.

BLS evidence: The Work Environment section states cooks 'often prepare only part of a dish and coordinate with other cooks and kitchen workers to complete meals on time.'

28
automation
Important t5

Follow sanitation procedures when handling and storing food

While AI can provide checklists and reminders for sanitation protocols, the actual execution requires physical actions (handwashing, sanitizing surfaces, proper storage) in varied kitchen layouts. AI can assist with compliance monitoring via sensors, but humans must perform the physical sanitation tasks.

BLS evidence: The text states 'in all establishments, they follow sanitation procedures when handling food' and mentions storing food at correct temperatures to prevent bacterial growth.

22
automation
Important t3

Ensure the freshness of ingredients

Requires multi-sensory assessment (visual inspection for mold/discoloration, smell for spoilage, touch for texture degradation) combined with physical handling of diverse produce, proteins, and dry goods in variable storage conditions. AI vision systems cannot yet match human sensory integration for freshness across all ingredient types.

BLS evidence: The Duties section lists 'Ensure the freshness of ingredients' as a primary responsibility, and the text notes cooks 'store food and ingredients at the correct temperatures to prevent bacterial growth.'

18
automation
Important t7

Operate kitchen equipment including broilers, grills, slicers, grinders, and blenders

Operating kitchen equipment requires physical manipulation of controls, loading/unloading items with varying shapes and weights, real-time monitoring of cooking processes, and safety-critical judgment in high-heat environments. Current robotics cannot safely and reliably operate the full range of commercial kitchen equipment.

BLS evidence: The text states 'Cooks use a variety of kitchen equipment, including broilers, grills, slicers, grinders, and blenders.'

15
automation
Supporting t8

Clean work areas, equipment, utensils, and dishes

Cleaning requires physical scrubbing, reaching into varied spaces, handling fragile and heavy items, and adapting to different types of residue and equipment geometries. While dishwashing machines exist, the broader cleaning task requires dexterity and mobility beyond current robotic capabilities for general kitchen environments.

BLS evidence: The Duties section lists 'Clean work areas, equipment, utensils, and dishes' as a task cooks typically do.

14
automation
Core t1

Weigh, measure, and mix ingredients according to recipes

Requires physical manipulation of ingredients in a dynamic kitchen environment with varying textures, temperatures, and container types. Current robotics lack the dexterity and adaptability for the full range of measuring and mixing tasks across diverse recipes.

BLS evidence: The Duties section explicitly lists 'Weigh, measure, and mix ingredients according to recipes' as a primary task cooks perform.

12
automation
Important t4

Arrange and garnish food on serving dishes

Demands fine motor skills for precise placement, artistic judgment for visual appeal, and adaptation to different plate shapes and food textures. Robotic systems lack the dexterity for delicate garnishing and the aesthetic judgment required for professional plating standards.

BLS evidence: The Duties section explicitly includes 'Arrange and garnish food on serving dishes' as a task cooks typically perform.

10
automation
Core t2

Bake, grill, fry, boil, and steam meats, fish, vegetables, and other foods

Demands real-time sensory judgment (visual doneness cues, sizzle sounds, aroma), fine motor control for flipping/turning, and adaptation to variable ingredient properties. Robotic cooking systems exist only for highly constrained fast-food scenarios, not general restaurant cooking.

BLS evidence: The Duties section lists multiple cooking methods including 'Bake, grill, or fry meats, fish, vegetables, and other foods' and 'Boil and steam meats, fish, vegetables, and other foods.'

8
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
30
karpathy 3/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
30
outlook: Faster than average
  • BLS projected outlook: Faster than average (5%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
35
ed: See How to Become One
  • BLS typical entry-level education: See How to Become One
  • Credential trend signal (annual refresh)

Related in Food Preparation And Serving

closest AOI neighbors in the same category