D

High AI Risk (49–52%)

Industry occupation-mix grade — shared by every Functions Related To Depository Banking, NEC employer tracked

BLS + SEC data Functions Related To Depository Banking, NEC Industry AI-risk grade D

Euronet Worldwide, Inc.

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

EEFT Functions Related To Depository Banking, NEC SIC 6099
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
Functions Related To Depository Banking, NEC
SIC Code: 6099
NAICS Sector: 52
The verdict

Euronet Worldwide, 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 Euronet Worldwide, Inc. sits among tracked employers

Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Functions Related To Depository Banking, NEC's value, which every employer we track in that sector shares — it is not a measurement of Euronet Worldwide, Inc. specifically.

Where Euronet Worldwide, 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 Functions Related To Depository Banking, NEC 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, Euronet Worldwide, 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 Functions Related To Depository Banking, NEC. As of May 2026, Euronet Worldwide, Inc. (EEFT) has no XBRL headcount on file. Industry grade D (50.5/100) from Functions Related To Depository Banking, NEC is the primary measurable signal here.

SIC 6099 · 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)

Euronet Worldwide, Inc. does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Functions Related To Depository Banking, NEC (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 Euronet Worldwide, Inc.'s industry?

Euronet Worldwide, Inc. (EEFT) maps to Functions Related To Depository Banking, NEC, 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 Euronet Worldwide, Inc.'s own roster. Companies in Functions Related To Depository Banking, NEC 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 6099: Functions Related To Depository Banking, NEC), 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 Euronet Worldwide, Inc. face the most AI risk?

Largest estimated shares in the Functions Related To Depository Banking, NEC 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 Euronet Worldwide, Inc.'s published org chart.

How many employees does Euronet Worldwide, Inc. have?

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

Has Euronet Worldwide, Inc. had layoffs?

WARN Act layoff notices for Euronet Worldwide, 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 Euronet Worldwide, Inc. in?

Euronet Worldwide, Inc. is classified under SIC 6099 (Functions Related To Depository Banking, NEC), mapping to NAICS sector 52. That classification selects the BLS occupation mix behind the AI exposure grade.

What to do with this

Use Euronet Worldwide, 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