D

High AI Risk (49–52%)

Industry occupation-mix grade — shared by every Hospital & Medical Service Plans employer tracked

BLS + SEC data Hospital & Medical Service Plans Industry AI-risk grade D

Unitedhealth Group Inc

Workforce AI-exposure profile for Unitedhealth Group Inc: industry grade D (50.5/100), plus SEC headcount and BLS occupation mix.

UNH Hospital & Medical Service Plans SIC 6324
Industry AI Displacement Exposure
50.5/100 D

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

Workforce Size
N/A
Not reported in XBRL filings
Industry Classification
Hospital & Medical Service Plans
SIC Code: 6324
NAICS Sector: 52
The verdict

Unitedhealth Group Inc's workforce carries a grade D AI-risk profile (50.5% weighted exposure), 8.6 points above the 41.9% average across 1,965 tracked employers. That is among the more AI-exposed occupation mixes of the industries tracked here; it describes the industry, not this company's own staffing.

50.5%
AI exposure
D
Risk grade
52
NAICS sector the grade comes from

Where Unitedhealth Group Inc sits among tracked employers

Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Hospital & Medical Service Plans's value, which every employer we track in that sector shares — it is not a measurement of Unitedhealth Group Inc specifically.

Where Unitedhealth Group Inc's industry AI exposure sits

Industry occupation-mix AI exposure across tracked public employers

50.5% Higher than most higher than 99%+ 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 Hospital & Medical Service Plans sit in a high industry AI-exposure band. A large share of the typical roles can be augmented or replaced, especially administrative, clerical, and analytical work.

A
B
C
D
F

Industry exposure standing

Signature: 50.5/100 (grade D) · industry AI-exposure score (corpus extremity among disclosed peers)

As of May 2026, Unitedhealth Group Inc sits near the middle on both disclosed headcount and three-year change. Industry grade D (50.5/100) is shared by every tracked employer in Hospital & Medical Service Plans. As of May 2026, Unitedhealth Group Inc (UNH) has no XBRL headcount on file. Industry grade D (50.5/100) from Hospital & Medical Service Plans is the primary measurable signal here.

SIC 6324 · NAICS 52 · 5 estimated roles; largest share Insurance underwriters · sources SEC EDGAR · O*NET 30.0 · BLS industry-occupation distributions.

Estimated Workforce Occupation Mix (Industry Average)

Unitedhealth Group Inc does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Hospital & Medical Service Plans (BLS industry-occupation employment distributions), not company-specific data. AI exposure scores from O*NET Database 30.0.

Occupation Est. Workforce Share AI Exposure
Insurance underwriters
SOC 13-2053
35%
45%
Shipping, receiving, and inventory clerks
SOC 43-5071
30%
60%
First-line supervisors of retail sales workers
SOC 41-1011
15%
45%
Funeral home managers
SOC 11-9171
10%
38%
Software developers
SOC 15-1252
10%
45%

For task-level context on high-exposure mixes, see how AI affects different job types.

Frequently Asked Questions

What is the AI risk grade for Unitedhealth Group Inc's industry?

Unitedhealth Group Inc (UNH) maps to Hospital & Medical Service Plans, whose occupation mix is in the upper third of industry AI exposure here (grade D, 50.5/100). Every tracked employer in that sector shares the same grade - it describes the industry mix, not Unitedhealth Group Inc's own roster. Companies in Hospital & Medical Service Plans sit in a high industry AI-exposure band. A large share of the typical roles can be augmented or replaced, especially administrative, clerical, and analytical work.

How is the AI risk score calculated?

The score uses the company's primary industry (SIC 6324: Hospital & Medical Service Plans), 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 Unitedhealth Group Inc face the most AI risk?

Largest estimated shares in the Hospital & Medical Service Plans mix: Insurance underwriters (45% AI exposure); Shipping, receiving, and inventory clerks (60% AI exposure); First-line supervisors of retail sales workers (45% AI exposure). Treat these as industry-typical roles, not Unitedhealth Group Inc's published org chart.

How many employees does Unitedhealth Group Inc have?

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

Has Unitedhealth Group Inc had layoffs?

WARN Act layoff notices for Unitedhealth Group 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 Unitedhealth Group Inc in?

Unitedhealth Group Inc is classified under SIC 6324 (Hospital & Medical Service Plans), mapping to NAICS sector 52. That classification selects the BLS occupation mix behind the AI exposure grade.

What to do with this

Use Unitedhealth Group 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