D

High AI Risk (49–52%)

Industry occupation-mix grade — shared by every Personal Credit Institutions employer tracked

BLS + SEC data Personal Credit Institutions Industry AI-risk grade D

Enova International, Inc.

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

ENVA Personal Credit Institutions SIC 6141
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
Personal Credit Institutions
SIC Code: 6141
NAICS Sector: 52
The verdict

Enova International, 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 Enova International, Inc. sits among tracked employers

Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Personal Credit Institutions's value, which every employer we track in that sector shares — it is not a measurement of Enova International, Inc. specifically.

Where Enova International, 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 Personal Credit Institutions 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, Enova International, 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 Personal Credit Institutions. As of May 2026, Enova International, Inc. (ENVA) has no XBRL headcount on file. Industry grade D (50.5/100) from Personal Credit Institutions is the primary measurable signal here.

SIC 6141 · 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)

Enova International, Inc. does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Personal Credit Institutions (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 Enova International, Inc.'s industry?

Enova International, Inc. (ENVA) maps to Personal Credit Institutions, 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 Enova International, Inc.'s own roster. Companies in Personal Credit Institutions 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 6141: Personal Credit Institutions), 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 Enova International, Inc. face the most AI risk?

Largest estimated shares in the Personal Credit Institutions 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 Enova International, Inc.'s published org chart.

How many employees does Enova International, Inc. have?

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

Has Enova International, Inc. had layoffs?

WARN Act layoff notices for Enova International, 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 Enova International, Inc. in?

Enova International, Inc. is classified under SIC 6141 (Personal Credit Institutions), mapping to NAICS sector 52. That classification selects the BLS occupation mix behind the AI exposure grade.

What to do with this

Use Enova International, 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