entityType = "role"
schemaVersion = "role.v1"
slug = "role-51-3021-00"
socCode = "51-3021.00"
title = "Butchers and Meat Cutters"
summary = "Cut, trim, or prepare consumer-sized portions of meat for use or sale in retail establishments."
aliases = ["Butcher", "Meat Clerk", "Meat Cutter", "Meat Specialist", "Meat Wrapper", "Beef Shoppe Clerk", "Blockman", "Butcher Block Clerk", "Cleaver", "Halal Butcher", "Hotel and Restaurant Butcher", "Journeyman Meat Cutter"]

[preparation]
jobZone = "2"
jobZoneName = "Job Zone 1-2: Very Little to Some Preparation Needed"
education = "Usually requires a high school diploma or GED, though some occupations may not."
experience = "Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training."
svpRange = "(Below 6.0)"

[[preparation.educationDistribution]]
label = "High School Diploma"
percentage = 69.93

[[preparation.educationDistribution]]
label = "Less than a High School Diploma"
percentage = 20.36

[[preparation.educationDistribution]]
label = "Some College Courses"
percentage = 7.27

[[preparation.educationDistribution]]
label = "Post-Secondary Certificate"
percentage = 2.44

[educationLevel]
category = "No formal educational credential"
slug = "no-formal-educational-credential"

[market]
medianWage = 38960
meanWage = 41300
pct10Wage = 28850
pct25Wage = 34460
pct75Wage = 47200
pct90Wage = 57130
employment = 140040
areaTitle = "U.S."

[industries]
count = 12

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 117950
medianWage = 38600
lq = 8.33

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 12650
medianWage = 39580
lq = 1.09

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 4640
medianWage = 41630
lq = 0.85

[[industries.top]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 3040
medianWage = 40570
lq = 0.24

[[industries.top]]
naics = "722511"
slug = "722511"
title = "Full-Service Restaurants"
level = "National industry"
employment = 1920
medianWage = 42440
lq = 0.39

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 230
medianWage = 32790
lq = 0.03

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 210
medianWage = 33340
lq = 0.09

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 150
medianWage = 44570
lq = 0.02

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 120
medianWage = 47180
lq = 0.01

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 110
medianWage = 43960
lq = 0.04

[[industries.top]]
naics = "721120"
slug = "721120"
title = "Casino Hotels"
level = "National industry"
employment = 100
medianWage = 49660
lq = 0.33

[[industries.top]]
naics = "456110"
slug = "456110"
title = "Pharmacies and Drug Retailers"
level = "National industry"
employment = 40
medianWage = 38710

[[industries.concentrated]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 117950
lq = 8.33

[[industries.concentrated]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 12650
lq = 1.09

[[industries.concentrated]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 4640
lq = 0.85

[[industries.concentrated]]
naics = "722511"
slug = "722511"
title = "Full-Service Restaurants"
level = "National industry"
employment = 1920
lq = 0.39

[[industries.concentrated]]
naics = "721120"
slug = "721120"
title = "Casino Hotels"
level = "National industry"
employment = 100
lq = 0.33

[[industries.concentrated]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 3040
lq = 0.24

[[industries.concentrated]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 210
lq = 0.09

[[industries.concentrated]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 110
lq = 0.04

[aiOutlook]
teleworkable = false
usageTasks = []

[aiOutlook.index]
value = 36
percentile = 34
band = "Moderate"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 19
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 25
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 65
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.93
percentile = 84
band = "High"
note = "A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking."

[aiOutlook.eloundou]
alpha = 0.05263157894736842
beta = 0.13157894736842105
gamma = 0.21052631578947367

[aiOutlook.bls]
growthPercent = 1
growthPercentile = 31
direction = "About average"
annualOpeningsThousands = 16.9
annualOpeningsPercentile = 75
employment2024Thousands = 143.1
employment2034Thousands = 144.5

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -0.9709924
percentile = 19
band = "Low"
note = "How much this job's abilities overlap with what AI systems can do, across many AI capabilities. A relative research score, not a forecast of job loss."

[[aiOutlook.exposure]]
source = "eloundou_gamma"
label = "LLM task exposure, γ (OpenAI / Eloundou)"
value = 0.21052631578947367
percentile = 25
band = "Low"
note = "Share of this job's tasks where a large language model plus simple tools could cut the time to do them by at least half. γ is capped at 1.0 and many jobs reach that ceiling, so treat a top score as 'in the top group', not a precise rank."

[[aiOutlook.exposure]]
source = "microsoft_applicability"
label = "AI assistant applicability (Microsoft)"
value = 0.19430902493163654
percentile = 65
band = "Moderate"
note = "How applicable today's AI assistants are to this job's activities, measured from real Microsoft Copilot conversations. Applicability is not the same as replacement."

[[aiOutlook.sources]]
source = "bls_employment_projections"
version = "2024-2034"

[[aiOutlook.sources]]
source = "dingel_neiman"
version = "dingel-neiman-workathome"

[[aiOutlook.sources]]
source = "felten_aioe"
version = "felten-raj-seamans-aioe"

[[aiOutlook.sources]]
source = "frey_osborne"
version = "frey-osborne-automation"

[[aiOutlook.sources]]
source = "microsoft_working_with_ai"
version = "working-with-ai"

[[aiOutlook.sources]]
source = "openai_gpts_are_gpts"
version = "gpts-are-gpts"

[counts]
tasks = 11
skills = 35
capabilities = 120
tools = 6
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "cd7651f7283587e4"

[[tasks]]
text = "Prepare and place meat cuts and products in display counter to appear attractive and catch the shopper's eye."
type = "Core"
iwa = "4.A.3.a.2.c"

[[tasks]]
text = "Wrap, weigh, label, and price cuts of meat."
type = "Core"
iwa = "4.A.1.b.1.a"

[[tasks]]
text = "Cut, trim, bone, tie, and grind meats, such as beef, pork, poultry, and fish, to prepare in cooking form."
type = "Core"
iwa = "4.A.3.a.2.c"

[[tasks]]
text = "Prepare special cuts of meat ordered by customers."
type = "Core"
iwa = "4.A.3.a.2.c"

[[tasks]]
text = "Receive, inspect, and store meat upon delivery to ensure meat quality."
type = "Core"
iwa = "4.A.1.b.2.f"

[[tasks]]
text = "Estimate requirements and order or requisition meat supplies to maintain inventories."
type = "Core"
iwa = "4.A.2.b.1.h"

[[tasks]]
text = "Record quantity of meat received and issued to cooks or keep records of meat sales."
type = "Supplemental"
iwa = "4.A.3.b.6.h"

[[tasks]]
text = "Supervise other butchers or meat cutters."
type = "Supplemental"
iwa = "4.A.4.b.4.j"

[[tasks]]
text = "Cure, smoke, tenderize, and preserve meat."
type = "Supplemental"
iwa = "4.A.3.a.1.f"

[[tasks]]
text = "Negotiate with representatives from supply companies to determine order details."
type = "Supplemental"
iwa = "4.A.4.a.2.j"

[[tasks]]
text = "Shape, lace, and tie roasts, using boning knife, skewer, and twine."
type = "Core"
iwa = "4.A.3.a.2.c"

[[emergingTasks]]
text = "Clean and sanitize meat cases and cutting equipment."

[[activities]]
name = "Mark products, workpieces, or equipment with identifying information."
iwa = "4.A.1.b.1.a"

[[activities]]
name = "Weigh finished products."
iwa = "4.A.1.b.3.a"

[[activities]]
name = "Prepare meat products for sale or consumption."
iwa = "4.A.3.a.2.c"

[[activities]]
name = "Cut meat products."
iwa = "4.A.3.a.2.c"

[[activities]]
name = "Inspect food products."
iwa = "4.A.1.b.2.f"

[[activities]]
name = "Estimate material requirements for production."
iwa = "4.A.2.b.1.h"

[[activities]]
name = "Order materials, supplies, or equipment."
iwa = "4.A.4.c.3.e"

[[activities]]
name = "Direct operational or production activities."
iwa = "4.A.4.b.4.j"

[[activities]]
name = "Record operational or production data."
iwa = "4.A.3.b.6.h"

[[activities]]
name = "Confer with customers or designers to determine order specifications."
iwa = "4.A.4.a.2.j"

[[activities]]
name = "Load items into ovens or furnaces."
iwa = "4.A.3.a.1.f"

[[capabilities]]
name = "Customer and Personal Service"
family = "knowledge"
value = 4.13

[[capabilities]]
name = "Food Production"
family = "knowledge"
value = 3.88

[[capabilities]]
name = "Manual Dexterity"
family = "ability"
value = 3.5

[[capabilities]]
name = "Near Vision"
family = "ability"
value = 3.5

[[capabilities]]
name = "Production and Processing"
family = "knowledge"
value = 3.37

[[capabilities]]
name = "Arm-Hand Steadiness"
family = "ability"
value = 3.25

[[capabilities]]
name = "Active Listening"
family = "essential_skill"
value = 3.12

[[capabilities]]
name = "Oral Comprehension"
family = "ability"
value = 3.12

[[capabilities]]
name = "Oral Expression"
family = "ability"
value = 3.12

[[capabilities]]
name = "Problem Sensitivity"
family = "ability"
value = 3.12

[[capabilities]]
name = "Information Ordering"
family = "ability"
value = 3.12

[[capabilities]]
name = "Category Flexibility"
family = "ability"
value = 3.12

[[capabilities]]
name = "Control Precision"
family = "ability"
value = 3.12

[[capabilities]]
name = "Sales and Marketing"
family = "knowledge"
value = 3.11

[[capabilities]]
name = "Reading Comprehension"
family = "essential_skill"
value = 3

[[capabilities]]
name = "Speaking"
family = "essential_skill"
value = 3

[[capabilities]]
name = "Critical Thinking"
family = "essential_skill"
value = 3

[[capabilities]]
name = "Monitoring"
family = "essential_skill"
value = 3

[[capabilities]]
name = "Social Perceptiveness"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Service Orientation"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Time Management"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Selective Attention"
family = "ability"
value = 3

[[capabilities]]
name = "Finger Dexterity"
family = "ability"
value = 3

[[capabilities]]
name = "Trunk Strength"
family = "ability"
value = 3

[[capabilities]]
name = "Visual Color Discrimination"
family = "ability"
value = 3

[[capabilities]]
name = "Speech Recognition"
family = "ability"
value = 3

[[capabilities]]
name = "Speech Clarity"
family = "ability"
value = 3

[[capabilities]]
name = "Coordination"
family = "transferable_skill"
value = 2.88

[[capabilities]]
name = "Complex Problem Solving"
family = "transferable_skill"
value = 2.88

[[capabilities]]
name = "Judgment and Decision Making"
family = "transferable_skill"
value = 2.88

[[capabilities]]
name = "Written Comprehension"
family = "ability"
value = 2.88

[[capabilities]]
name = "Visualization"
family = "ability"
value = 2.88

[[capabilities]]
name = "Time Sharing"
family = "ability"
value = 2.88

[[capabilities]]
name = "Multilimb Coordination"
family = "ability"
value = 2.88

[[capabilities]]
name = "Reaction Time"
family = "ability"
value = 2.88

[[capabilities]]
name = "Static Strength"
family = "ability"
value = 2.88

[[capabilities]]
name = "Far Vision"
family = "ability"
value = 2.88

[[capabilities]]
name = "Auditory Attention"
family = "ability"
value = 2.88

[[capabilities]]
name = "English Language"
family = "knowledge"
value = 2.76

[[capabilities]]
name = "Persuasion"
family = "transferable_skill"
value = 2.75

[[skills]]
name = "Information Ordering"
type = "Specialized Skill"

[[skills]]
name = "Active Listening"
type = "Common Skill"

[[skills]]
name = "Time Management"
type = "Common Skill"

[[skills]]
name = "Speech Recognition"
type = "Specialized Skill"

[[skills]]
name = "Social Perceptiveness"
type = "Common Skill"

[[skills]]
name = "Reading Comprehension"
type = "Common Skill"

[[skills]]
name = "Microsoft Word"
type = "Common Skill"

[[skills]]
name = "Microsoft Outlook"
type = "Common Skill"

[[skills]]
name = "Microsoft Excel"
type = "Common Skill"

[[skills]]
name = "Finger Dexterity"
type = "Common Skill"

[[skills]]
name = "Critical Thinking"
type = "Common Skill"

[[skills]]
name = "Visualization"
type = "Specialized Skill"

[[skills]]
name = "Complex Problem Solving"
type = "Common Skill"

[[skills]]
name = "English Language"
type = "Common Skill"

[[skills]]
name = "Negotiation"
type = "Common Skill"

[[skills]]
name = "Inductive Reasoning"
type = "Common Skill"

[[skills]]
name = "Deductive Reasoning"
type = "Common Skill"

[[skills]]
name = "Instructing"
type = "Specialized Skill"

[[skills]]
name = "Depth Perception"
type = "Common Skill"

[[skills]]
name = "Active Learning"
type = "Common Skill"

[[skills]]
name = "Mathematics"
type = "Common Skill"

[[skills]]
name = "Systems Analysis"
type = "Specialized Skill"

[[skills]]
name = "Writing"
type = "Common Skill"

[[skills]]
name = "Learning Strategies"
type = "Specialized Skill"

[[skills]]
name = "Psychology"
type = "Specialized Skill"

[[skills]]
name = "Equipment Maintenance"
type = "Specialized Skill"

[[skills]]
name = "Biology"
type = "Specialized Skill"

[[skills]]
name = "Equipment Selection"
type = "Specialized Skill"

[[skills]]
name = "Chemistry"
type = "Specialized Skill"

[[skills]]
name = "Foreign Language"
type = "Common Skill"

[[skills]]
name = "Telecommunications"
type = "Specialized Skill"

[[skills]]
name = "Physics"
type = "Specialized Skill"

[[skills]]
name = "Geography"
type = "Specialized Skill"

[[skills]]
name = "Installation"
type = "Specialized Skill"

[[skills]]
name = "Accounting Software"
type = "Specialized Skill"

[[tools]]
example = "Microsoft Excel"
category = "Spreadsheet software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Office software"
category = "Office suite software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Outlook"
category = "Electronic mail software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Word"
category = "Word processing software"
hot = true
inDemand = false

[[tools]]
example = "Financial accounting software"
category = "Accounting software"
hot = false
inDemand = false

[[tools]]
example = "Web browser software"
category = "Internet browser software"
hot = false
inDemand = false

[[workContext]]
name = "Indoors, Environmentally Controlled"
value = 5

[[workContext]]
name = "Spend Time Standing"
value = 4.86

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 4.78

[[workContext]]
name = "Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets"
value = 4.55

[[workContext]]
name = "Contact With Others"
value = 4.52

[[workContext]]
name = "Deal With External Customers or the Public in General"
value = 4.48

[[workContext]]
name = "Work With or Contribute to a Work Group or Team"
value = 4.4

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 4.33

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 4.33

[[workContext]]
name = "Exposed to Hazardous Equipment"
value = 4.32

[[workContext]]
name = "Spend Time Making Repetitive Motions"
value = 4.26

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 4.13

[[workContext]]
name = "Time Pressure"
value = 4.12

[[workContext]]
name = "Physical Proximity"
value = 4.06

[[workContext]]
name = "Frequency of Decision Making"
value = 3.97

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 3.92

[[workContext]]
name = "Health and Safety of Other Workers"
value = 3.9

[[workContext]]
name = "Consequence of Error"
value = 3.9

[[workContext]]
name = "Dealing With Unpleasant, Angry, or Discourteous People"
value = 3.85

[[workContext]]
name = "Work Outcomes and Results of Other Workers"
value = 3.79

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 3.78

[[workContext]]
name = "Telephone Conversations"
value = 3.65

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 3.64

[[workContext]]
name = "Freedom to Make Decisions"
value = 3.58

[[workContext]]
name = "Pace Determined by Speed of Equipment"
value = 3.58

[[workContext]]
name = "Determine Tasks, Priorities and Goals"
value = 3.53

[[workContext]]
name = "Spend Time Bending or Twisting Your Body"
value = 3.5

[[workContext]]
name = "Importance of Repeating Same Tasks"
value = 3

[[workContext]]
name = "Level of Competition"
value = 2.88

[[workContext]]
name = "Conflict Situations"
value = 2.87

[[workContext]]
name = "Spend Time Walking or Running"
value = 2.86

[[workContext]]
name = "Exposed to Minor Burns, Cuts, Bites, or Stings"
value = 2.82

[[workContext]]
name = "Written Letters and Memos"
value = 2.63

[[workContext]]
name = "E-Mail"
value = 2.54

[[workContext]]
name = "Exposed to Contaminants"
value = 2.53

[[workContext]]
name = "Degree of Automation"
value = 2.44

[[workContext]]
name = "Exposed to Extremely Bright or Inadequate Lighting Conditions"
value = 1.91

[[workContext]]
name = "Spend Time Keeping or Regaining Balance"
value = 1.91

[[workContext]]
name = "Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection"
value = 1.68

[[workContext]]
name = "Spend Time Kneeling, Crouching, Stooping, or Crawling"
value = 1.59

[[personFit]]
name = "Realistic"
family = "career_interest_type"
value = 6.26

[[personFit]]
name = "Physical/Manual Labor"
family = "specific_interest_area"
value = 5.72

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 3.92

[[personFit]]
name = "Enterprising"
family = "career_interest_type"
value = 2.78

[[personFit]]
name = "Culinary Art"
family = "specific_interest_area"
value = 2.42

[[personFit]]
name = "Sales"
family = "specific_interest_area"
value = 2.31

[[personFit]]
name = "Dependability"
family = "work_style"
value = 2.14

[[personFit]]
name = "Attention to Detail"
family = "work_style"
value = 2.11

[[personFit]]
name = "Personal Service"
family = "specific_interest_area"
value = 2.04

[[personFit]]
name = "Social"
family = "career_interest_type"
value = 1.89

[[personFit]]
name = "Artistic"
family = "career_interest_type"
value = 1.78

[[personFit]]
name = "Accounting"
family = "specific_interest_area"
value = 1.62

[[personFit]]
name = "Management/Administration"
family = "specific_interest_area"
value = 1.62

[[personFit]]
name = "Agriculture"
family = "specific_interest_area"
value = 1.56

[[personFit]]
name = "Marketing/Advertising"
family = "specific_interest_area"
value = 1.54

[[personFit]]
name = "Integrity"
family = "work_style"
value = 1.51

[[relatedRoles]]
socCode = "51-3022.00"
slug = "role-51-3022-00"
title = "Meat, Poultry, and Fish Cutters and Trimmers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "51-3023.00"
slug = "role-51-3023-00"
title = "Slaughterers and Meat Packers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "35-2014.00"
slug = "role-35-2014-00"
title = "Cooks, Restaurant"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "35-2021.00"
slug = "role-35-2021-00"
title = "Food Preparation Workers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "51-3011.00"
slug = "role-51-3011-00"
title = "Bakers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "35-2015.00"
slug = "role-35-2015-00"
title = "Cooks, Short Order"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "35-1011.00"
slug = "role-35-1011-00"
title = "Chefs and Head Cooks"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "35-2012.00"
slug = "role-35-2012-00"
title = "Cooks, Institution and Cafeteria"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-3093.00"
slug = "role-51-3093-00"
title = "Food Cooking Machine Operators and Tenders"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-3092.00"
slug = "role-51-3092-00"
title = "Food Batchmakers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "45-2041.00"
slug = "role-45-2041-00"
title = "Graders and Sorters, Agricultural Products"
tier = "Supplemental"

[[relatedRoles]]
socCode = "35-3023.00"
slug = "role-35-3023-00"
title = "Fast Food and Counter Workers"
tier = "Supplemental"

[[careerClusters]]
cluster = "Agriculture"
slug = "agriculture"

[[studyPrograms]]
title = "Culinary, Entertainment, and Personal Services"
slug = "culinary-entertainment-and-personal-services"

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.93
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = -0.9709924
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -0.9157081
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -0.976576
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
