Moderate AI Risk (43–48%)
Industry occupation-mix grade — shared by every Retail-Women's Clothing Stores employer tracked
Victoria's Secret & Co.
Workforce AI-exposure profile for Victoria's Secret & Co.: industry grade C (45.5/100), plus SEC headcount and BLS occupation mix.
Weighted average O*NET AI exposure score for this industry's occupation mix
Victoria's Secret & Co.'s workforce carries a grade C AI-risk profile (45.5% weighted exposure), 3.6 points above the 41.9% average across 1,965 tracked employers. That is broadly typical of the industries tracked here; it describes the industry, not this company's own staffing.
Where Victoria's Secret & Co. sits among tracked employers
Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Retail-Women's Clothing Stores's value, which every employer we track in that sector shares — it is not a measurement of Victoria's Secret & Co. specifically.
Where Victoria's Secret & Co.'s industry AI exposure sits
Industry occupation-mix AI exposure across tracked public employers
45.5% Around the middle lower than 29% 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 Retail-Women's Clothing Stores sit in a mid industry AI-exposure band. Some roles will be augmented, while core work still needs judgment, creativity, or complex problem-solving.
Industry exposure standing
Signature: 45.5/100 (grade C) · industry AI-exposure score (corpus extremity among disclosed peers)
As of May 2026, Victoria's Secret & Co. sits near the middle on both disclosed headcount and three-year change. Industry grade C (45.5/100) is shared by every tracked employer in Retail-Women's Clothing Stores. As of May 2026, Victoria's Secret & Co. (VSCO) has no XBRL headcount on file. Industry grade C (45.5/100) from Retail-Women's Clothing Stores is the primary measurable signal here.
SIC 5621 · NAICS 44-45 · 6 estimated roles; largest share First-line supervisors of retail sales workers · sources SEC EDGAR · O*NET 30.0 · BLS industry-occupation distributions.
Estimated Workforce Occupation Mix (Industry Average)
Victoria's Secret & Co. does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Retail-Women's Clothing Stores (BLS industry-occupation employment distributions), not company-specific data. AI exposure scores from O*NET Database 30.0.
| Occupation | Est. Workforce Share | AI Exposure |
|---|---|---|
| First-line supervisors of retail sales workers SOC 41-1011 | | |
| Shipping, receiving, and inventory clerks SOC 43-5071 | | |
| Food preparation and serving related workers, all other SOC 35-9099 | | |
| Funeral home managers SOC 11-9171 | | |
| Security and fire alarm systems installers SOC 49-2098 | | |
| Gas compressor and gas pumping station operators SOC 53-7071 | | |
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 Victoria's Secret & Co.'s industry?
Victoria's Secret & Co. (VSCO) maps to Retail-Women's Clothing Stores, whose occupation mix is in the upper third of industry AI exposure here (grade C, 45.5/100). Every tracked employer in that sector shares the same grade - it describes the industry mix, not Victoria's Secret & Co.'s own roster. Companies in Retail-Women's Clothing Stores sit in a mid industry AI-exposure band. Some roles will be augmented, while core work still needs judgment, creativity, or complex problem-solving.
How is the AI risk score calculated?
The score uses the company's primary industry (SIC 5621: Retail-Women's Clothing Stores), 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 Victoria's Secret & Co. face the most AI risk?
Largest estimated shares in the Retail-Women's Clothing Stores mix: First-line supervisors of retail sales workers (45% AI exposure); Shipping, receiving, and inventory clerks (60% AI exposure); Food preparation and serving related workers, all other (35% AI exposure). Treat these as industry-typical roles, not Victoria's Secret & Co.'s published org chart.
How many employees does Victoria's Secret & Co. have?
Victoria's Secret & Co. does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.
Has Victoria's Secret & Co. had layoffs?
WARN Act layoff notices for Victoria's Secret & Co. 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 Victoria's Secret & Co. in?
Victoria's Secret & Co. is classified under SIC 5621 (Retail-Women's Clothing Stores), mapping to NAICS sector 44-45. That classification selects the BLS occupation mix behind the AI exposure grade.
What to do with this
Use Victoria's Secret & Co.'s risk profile above to plan next steps, not just react to the grade.
- Compare this employer against another company on AI risk, headcount, and trend using the interactive tool. Workforce comparison tool
- This employer skews toward higher-exposure occupations, see how AI affects different task mixes. How AI affects different job types
- See how every tracked employer ranks nationwide by AI displacement risk. Employer AI risk rankings
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.