High AI Risk (49–52%)
Rank #1 of all employers
Cigna Group
Open-data reference.
Weighted average O*NET AI exposure score for this industry's occupation mix
AI Displacement Risk Analysis
Companies in Hospital & Medical Service Plans 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.
Workforce Insight
Cigna Group (CI) operates in Hospital & Medical Service Plans under SIC 6324, 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 Cigna Group 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.
For workers and investors, the Grade D signal matters because it 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 Cigna Group's labor footprint.
Estimated Workforce Occupation Mix
Based on BLS industry-occupation employment distributions for Hospital & Medical Service Plans. AI exposure scores from O*NET Database 30.0.
| Occupation | Est. Workforce Share | AI Exposure |
|---|---|---|
| Insurance underwriters SOC 13-2053 | | |
| Shipping, receiving, and inventory clerks SOC 43-5071 | | |
| First-line supervisors of retail sales workers SOC 41-1011 | | |
| Funeral home managers SOC 11-9171 | | |
| Software developers SOC 15-1252 | | |
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Frequently Asked Questions
What is Cigna Group's AI risk grade?
Cigna Group (CI) has an AI risk grade of D with a score of 50.5% — high ai risk (49–52%). Companies in Hospital & Medical Service Plans 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 6324: Hospital & Medical Service Plans), 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 Cigna Group face the most AI risk?
Based on the industry occupation mix, key roles at Cigna Group 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 Cigna Group have?
Cigna Group'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 Cigna Group had layoffs?
WARN Act layoff notices and workforce reduction history for Cigna Group 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 Cigna Group in?
Cigna Group is classified under SIC code 6324 (Hospital & Medical Service Plans), 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.