Moderate AI Risk (43–48%)
Industry occupation-mix grade — shared by every Retail-Home Furniture, Furnishings & Equipment Stores employer tracked
Williams Sonoma Inc
Workforce AI-exposure profile for Williams Sonoma Inc: 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
Williams Sonoma Inc'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 Williams Sonoma Inc sits among tracked employers
Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Retail-Home Furniture, Furnishings & Equipment Stores's value, which every employer we track in that sector shares — it is not a measurement of Williams Sonoma Inc specifically.
Where Williams Sonoma Inc'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-Home Furniture, Furnishings & Equipment 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, Williams Sonoma Inc 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-Home Furniture, Furnishings & Equipment Stores. As of May 2026, Williams Sonoma Inc (WSM) has no XBRL headcount on file. Industry grade C (45.5/100) from Retail-Home Furniture, Furnishings & Equipment Stores is the primary measurable signal here.
SIC 5700 · 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)
Williams Sonoma Inc does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Retail-Home Furniture, Furnishings & Equipment 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 Williams Sonoma Inc's industry?
Williams Sonoma Inc (WSM) maps to Retail-Home Furniture, Furnishings & Equipment 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 Williams Sonoma Inc's own roster. Companies in Retail-Home Furniture, Furnishings & Equipment 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 5700: Retail-Home Furniture, Furnishings & Equipment 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 Williams Sonoma Inc face the most AI risk?
Largest estimated shares in the Retail-Home Furniture, Furnishings & Equipment 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 Williams Sonoma Inc's published org chart.
How many employees does Williams Sonoma Inc have?
Williams Sonoma Inc does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.
Has Williams Sonoma Inc had layoffs?
WARN Act layoff notices for Williams Sonoma 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 Williams Sonoma Inc in?
Williams Sonoma Inc is classified under SIC 5700 (Retail-Home Furniture, Furnishings & Equipment 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 Williams Sonoma Inc'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.