Butchers

AI Overlap Index
38.0 / 100
Selectively Exposed

Physical, social, or oversight-heavy work that AI augments rather than replaces.

SOC 51-3021 · Production

Bureau of Labor Statistics
Median pay
$38,960/yr
Hourly
$19/hr
Jobs 2024
143,100
Projected 2034
144,500
10-yr outlook
+1% · Slower than average
Employment change
1,400
Entry education
No formal educational credential
SOC code
51-3021

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
26.3
contribution to AOI: 15.8
Automation Potential weight 10%
20.0
contribution to AOI: 2.0
Market Pressure weight 15%
55.0
contribution to AOI: 8.2
Entry Barrier Erosion weight 15%
80.0
contribution to AOI: 12.0

By seniority

multiplicative adjustment from category curve

Entry
46.4
mult 1.22x
Mid
38.0
mult 1.00x
Senior
31.2
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

Maintain records for federal safety and inspection purposes

Record-keeping for compliance is highly structured data entry that AI can handle end-to-end by integrating with scales, inventory systems, and temperature logs; minimal human review needed to ensure regulatory completeness.

BLS evidence: They also have other duties, including maintaining records for purposes of federal safety and inspection.

82
automation
Important t7

Monitor inventory and sales trends and order meat supplies

AI excels at analyzing sales data, identifying trends, predicting demand, and generating optimal orders; a human would review recommendations and handle supplier relationships, but the analytical core is highly automatable.

BLS evidence: Butchers keep track of inventory and determine what to stock, especially in anticipation of seasonal demands, and also order supplies.

72
automation
Supporting t8

Store meats in refrigerators or freezers at required temperatures

Physical task of moving meat products to storage requires manual handling of heavy, irregularly shaped items in cold environments; while temperature monitoring is automatable, the physical placement and organization requires human labor.

BLS evidence: Butchers store meats in refrigerators or freezers at the required temperature.

28
automation
Important t5

Receive, inspect, and store meat upon delivery

Visual inspection for quality and freshness requires physical handling and sensory assessment (color, texture, smell) that AI vision systems cannot fully replicate, though AI could assist with inventory logging and basic defect detection.

BLS evidence: Butchers typically receive, inspect, and store meat upon delivery.

25
automation
Important t4

Weigh and wrap meat products for display or customer orders

Weighing is automatable but wrapping irregular meat portions requires adaptive fine motor skills to handle variable shapes and ensure proper presentation; AI-guided robotics can assist with standardized portions but struggles with custom cuts.

BLS evidence: They then prepare meat for sale by doing various tasks, such as weighing meat, wrapping it, and putting it out for display.

22
automation
Important t6

Clean equipment and work areas to maintain health and sanitation standards

Cleaning meat-cutting equipment and work surfaces requires physical scrubbing, sanitizing irregular surfaces, and navigating around fixed equipment in variable layouts—tasks that demand manual dexterity and adaptability beyond current cleaning robotics.

BLS evidence: They follow sanitation standards while working and when cleaning equipment, countertops, and working areas in order to prevent meat contamination.

18
automation
Important t3

Sharpen knives and adjust cutting equipment

Knife sharpening requires tactile feedback and manual dexterity to achieve proper angles and edges, while equipment adjustment involves physical manipulation of mechanical systems in variable configurations that robotics handles poorly.

BLS evidence: Butchers typically sharpen knives and adjust cutting equipment as part of their duties.

15
automation
Core t1

Cut, debone, or grind pieces of meat into retail portions

Requires precise fine motor control, real-time adaptation to variable meat anatomy, and physical manipulation in three dimensions that current robotics cannot reliably match across diverse cuts and animal types in typical retail settings.

BLS evidence: Butchers cut and trim meat from larger, wholesale portions into steaks, chops, roasts, and other cuts.

12
automation
Core t2

Prepare custom meat orders to customers' specifications

Combines the physical cutting challenges of t1 with real-time customer interaction to clarify preferences, handle special requests, and make judgment calls on substitutions—all requiring physical presence and dexterity beyond current AI+robotics capabilities.

BLS evidence: In retail stores, they also wait on customers and prepare special cuts of meat upon request.

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
20
karpathy 2/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
55
outlook: Slower than average
  • BLS projected outlook: Slower than average (1%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
80
ed: No formal educational credential
  • BLS typical entry-level education: No formal educational credential
  • Credential trend signal (annual refresh)

Related in Production

closest AOI neighbors in the same category