B

Below-Average Risk (35–42%)

Industry occupation-mix grade — shared by every Food and Kindred Products employer tracked

BLS + SEC data Food and Kindred Products Industry AI-risk grade B

Conagra Brands Inc.

Workforce AI-exposure profile for Conagra Brands Inc.: industry grade B (36.9/100), plus SEC headcount and BLS occupation mix.

CAG Food and Kindred Products SIC 2000
Industry AI Displacement Exposure
36.9/100 B

Weighted average O*NET AI exposure score for this industry's occupation mix

Workforce Size
N/A
Not reported in XBRL filings
Industry Classification
Food and Kindred Products
SIC Code: 2000
NAICS Sector: 31-32
The verdict

Conagra Brands Inc.'s workforce carries a grade B AI-risk profile (36.9% weighted exposure), 5.0 points below the 41.9% average across 1,965 tracked employers. That is a relatively AI-resilient occupation mix among the industries tracked here; it describes the industry, not this company's own staffing.

36.9%
AI exposure
B
Risk grade
31-32
NAICS sector the grade comes from

Where Conagra Brands Inc. sits among tracked employers

Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Food and Kindred Products's value, which every employer we track in that sector shares — it is not a measurement of Conagra Brands Inc. specifically.

Where Conagra Brands Inc.'s industry AI exposure sits

Industry occupation-mix AI exposure across tracked public employers

36.9% Among the lowest lower than 77% of 1,965 employers

Employers, banded by industry AI-exposure mix

Each bar is a band; taller bars hold more employers. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET / PlainWorkforce employer industry mix · 2026-05-15

AI Displacement Risk Analysis

Companies in Food and Kindred Products sit below the typical industry AI-exposure band. Most roles still need dexterity, interpersonal skill, or on-site presence that current AI systems struggle with.

A
B
C
D
F

Industry exposure standing

Signature: 36.9/100 (grade B) · industry AI-exposure score (corpus extremity among disclosed peers)

As of May 2026, Conagra Brands Inc. sits near the middle on both disclosed headcount and three-year change. Industry grade B (36.9/100) is shared by every tracked employer in Food and Kindred Products. As of May 2026, Conagra Brands Inc. (CAG) has no XBRL headcount on file. Industry grade B (36.9/100) from Food and Kindred Products is the primary measurable signal here.

SIC 2000 · NAICS 31-32 · 6 estimated roles; largest share Molders, shapers, and casters, except metal and plastic · sources SEC EDGAR · O*NET 30.0 · BLS industry-occupation distributions.

Estimated Workforce Occupation Mix (Industry Average)

Conagra Brands Inc. does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Food and Kindred Products (BLS industry-occupation employment distributions), not company-specific data. AI exposure scores from O*NET Database 30.0.

Occupation Est. Workforce Share AI Exposure
Molders, shapers, and casters, except metal and plastic
SOC 51-9195
50%
34%
Security and fire alarm systems installers
SOC 49-2098
15%
26%
Gas compressor and gas pumping station operators
SOC 53-7071
12%
38%
Shipping, receiving, and inventory clerks
SOC 43-5071
10%
60%
Funeral home managers
SOC 11-9171
8%
38%
First-line supervisors of retail sales workers
SOC 41-1011
5%
45%

For building automation-resistant skills around lower-exposure mixes, see how to future-proof a career against AI.

Frequently Asked Questions

What is the AI risk grade for Conagra Brands Inc.'s industry?

Conagra Brands Inc. (CAG) maps to Food and Kindred Products, whose occupation mix is in the lower third of industry AI exposure here (grade B, 36.9/100). The grade is sector-shared, not a company staffing measurement. Companies in Food and Kindred Products sit below the typical industry AI-exposure band. Most roles still need dexterity, interpersonal skill, or on-site presence that current AI systems struggle with.

How is the AI risk score calculated?

The score uses the company's primary industry (SIC 2000: Food and Kindred Products), mapped to BLS occupational employment shares. Each occupation gets an O*NET task-level AI exposure weight; the industry mix is the weighted average. 0 = no exposure; 100 = maximum.

Which occupations at Conagra Brands Inc. face the most AI risk?

Even with a lower industry grade, the largest estimated shares still matter: Molders, shapers, and casters, except metal and plastic (34% AI exposure); Security and fire alarm systems installers (26% AI exposure); Gas compressor and gas pumping station operators (38% AI exposure). They come from BLS industry-occupation distributions, not a company filing.

How many employees does Conagra Brands Inc. have?

Conagra Brands Inc. does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.

Has Conagra Brands Inc. had layoffs?

WARN Act layoff notices for Conagra Brands Inc. are published by state labor agencies and the U.S. Department of Labor when a covered mass layoff hits the 100-worker threshold. Many quieter workforce changes never appear in WARN.

What industry is Conagra Brands Inc. in?

Conagra Brands Inc. is classified under SIC 2000 (Food and Kindred Products), mapping to NAICS sector 31-32. That classification selects the BLS occupation mix behind the AI exposure grade.

What to do with this

Use Conagra Brands Inc.'s risk profile above to plan next steps, not just react to the grade.

AI risk scores are estimates based on industry-level occupation distributions and may not reflect individual employer hiring practices; this is not financial advice.

AI risk scores are estimates based on industry-level occupation distributions and may not reflect individual employer hiring practices. Data sources: SEC EDGAR (company SIC codes) · O*NET Database 30.0 (AI exposure scores) · BLS Employment Projections 2024–2034. This is not financial advice.

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce