D

High AI Risk (49–52%)

Rank #1 of all employers

BLS + SEC data National Commercial Banks AI-risk grade D

Old National Bancorp /In/

Workforce AI-exposure profile for Old National Bancorp /In/ - risk grade, employee trend, and occupation mix estimated from BLS industry-occupation distributions and SEC filings.

ONB National Commercial Banks SIC 6021
AI Displacement Risk Score
50.5% 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
National Commercial Banks
SIC Code: 6021
NAICS Sector: 52
The verdict

Old National Bancorp /In/'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 places its workforce among the most AI-exposed of the 1,965 employers tracked.

50.5%
AI exposure
D
Risk grade
#1
of 1,965 employers

Where Old National Bancorp /In/ sits among tracked employers

Weighted workforce AI-exposure across 1,965 public employers. Old National Bancorp /In/ is marked in rose.

AI exposure distribution - Old National Bancorp /In/ marked 38 employers at 30–33% 38 30 121 employers at 33–35% 121 33 285 employers at 35–38% 285 35 410 employers at 38–40% 410 38 308 employers at 40–43% 308 40 0 employers at 43–45% 43 403 employers at 45–48% 403 45 89 employers at 48–50% 89 48 311 employers at 50–53% 311 50 0 employers at 53–55% 53 AI exposure (%) →
Top 1% by AI exposure Among the highest AI exposure of all 1,965 employers.

Old National Bancorp /In/ has ai exposure of 50.5%. Distribution: 38 employers at 30-33%; 121 employers at 33-35%; 285 employers at 35-38%; 410 employers at 38-40%; 308 employers at 40-43%; 0 employers at 43-45%; 403 employers at 45-48%; 89 employers at 48-50%; 311 employers at 50-53%; 0 employers at 53-55%.

AI Displacement Risk Analysis

Companies in National Commercial Banks face high AI displacement risk. A significant portion of tasks can be augmented or replaced by AI systems, particularly in administrative, clerical, and analytical roles.

A
B
C
D
F

Workforce Insight

As of May 2026, Old National Bancorp /In/ (ONB) operates in National Commercial Banks under SIC 6021, mapping to NAICS sector 52. The company carries an AI displacement risk grade of D with a weighted exposure score of 50.5%, derived from the occupation mix typical to this industry and mapped against O*NET Database 30.0 task-level automation probabilities. This positions Old National Bancorp /In/ at rank #1 among all public employers tracked by PlainWorkforce.

Workforce size is not disclosed in recent SEC filings. The estimated occupation mix includes 5 distinct roles drawn from BLS industry-occupation employment distributions, with Insurance underwriters representing the largest share.

Why the Grade D signal matters

For workers and investors, this grade quantifies exposure to a specific macro force, the ongoing displacement pressure from generative AI and robotic process automation, that traditional financial disclosures do not yet capture. Grades A and B indicate workforces anchored in tasks requiring physical presence, complex judgment, or interpersonal skill; Grades D and F concentrate in clerical, administrative, and routine analytical tasks now within reach of large language models. Read this profile alongside the occupation-level task and skill breakdowns and the BLS employment projections to build a complete picture of Old National Bancorp /In/'s labor footprint.

Estimated Workforce Occupation Mix (Industry Average)

Old National Bancorp /In/ does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in National Commercial Banks (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%

Frequently Asked Questions

What is Old National Bancorp /In/'s AI risk grade?

Old National Bancorp /In/ (ONB) has an AI risk grade of D with a score of 50.5% - high ai risk (49–52%). Companies in National Commercial Banks face high AI displacement risk. A significant portion of tasks can be augmented or replaced by AI systems, particularly in administrative, clerical, and analytical roles.

How is the AI risk score calculated?

The AI risk score is computed from the company's primary industry (SIC 6021: National Commercial Banks), mapped to Bureau of Labor Statistics occupational employment distributions. For each occupation in the industry workforce, we apply O*NET task-level AI exposure scores and compute a weighted average. A score of 0 means no AI risk; 100 means maximum exposure.

Which occupations at Old National Bancorp /In/ face the most AI risk?

Based on the industry occupation mix, key roles at Old National Bancorp /In/ include: Insurance underwriters (45% AI exposure), Shipping, receiving, and inventory clerks (60% AI exposure), First-line supervisors of retail sales workers (45% AI exposure). These represent the largest estimated workforce shares.

How many employees does Old National Bancorp /In/ have?

Old National Bancorp /In/'s employee count is not reported in its XBRL filings. Workforce size can vary, check the company's most recent annual report or SEC filings for current data.

Has Old National Bancorp /In/ had layoffs?

WARN Act layoff notices and workforce reduction history for Old National Bancorp /In/ are published by state labor agencies and the U.S. Department of Labor. WARN Act data covers mass layoffs affecting 100+ workers, as required by federal reporting. Not all workforce changes are captured in WARN filings.

What industry is Old National Bancorp /In/ in?

Old National Bancorp /In/ is classified under SIC code 6021 (National Commercial Banks), which maps to NAICS sector 52. Industry classification determines the occupation mix used to compute the AI displacement risk score.

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 Editorial