Below-Average Risk (35–42%)
Industry occupation-mix grade — shared by every Cutlery, Handtools & General Hardware employer tracked
Stanley Black & Decker, Inc.
Workforce AI-exposure profile for Stanley Black & Decker, Inc.: industry grade B (37.6/100), plus SEC headcount and BLS occupation mix.
Weighted average O*NET AI exposure score for this industry's occupation mix
Stanley Black & Decker, Inc.'s workforce carries a grade B AI-risk profile (37.6% weighted exposure), 4.3 points below 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 Stanley Black & Decker, Inc. sits among tracked employers
Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Cutlery, Handtools & General Hardware's value, which every employer we track in that sector shares — it is not a measurement of Stanley Black & Decker, Inc. specifically.
Where Stanley Black & Decker, Inc.'s industry AI exposure sits
Industry occupation-mix AI exposure across tracked public employers
37.6% Lower than most lower than 60% 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 Cutlery, Handtools & General Hardware sit below the typical industry AI-exposure band. Most roles still need dexterity, interpersonal skill, or on-site presence that current AI systems struggle with.
Industry exposure standing
Signature: 37.6/100 (grade B) · industry AI-exposure score (corpus extremity among disclosed peers)
As of May 2026, Stanley Black & Decker, Inc. sits near the middle on both disclosed headcount and three-year change. Industry grade B (37.6/100) is shared by every tracked employer in Cutlery, Handtools & General Hardware. As of May 2026, Stanley Black & Decker, Inc. (SWK) has no XBRL headcount on file. Industry grade B (37.6/100) from Cutlery, Handtools & General Hardware is the primary measurable signal here.
SIC 3420 · NAICS 33 · 6 estimated roles; largest share Molders, shapers, and casters, except metal and plastic · sources SEC EDGAR · O*NET 30.0 · BLS industry-occupation distributions.
Estimated Workforce Occupation Mix (Industry Average)
Stanley Black & Decker, Inc. does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Cutlery, Handtools & General Hardware (BLS industry-occupation employment distributions), not company-specific data. AI exposure scores from O*NET Database 30.0.
| Occupation | Est. Workforce Share | AI Exposure |
|---|---|---|
| Molders, shapers, and casters, except metal and plastic SOC 51-9195 | | |
| Civil engineering technologists and technicians SOC 17-3022 | | |
| Security and fire alarm systems installers SOC 49-2098 | | |
| Shipping, receiving, and inventory clerks SOC 43-5071 | | |
| Funeral home managers SOC 11-9171 | | |
| Gas compressor and gas pumping station operators SOC 53-7071 | | |
Methodology and scoring detail live on our how we score AI exposure page; occupation hubs sit under Browse all occupations.
Frequently Asked Questions
What is the AI risk grade for Stanley Black & Decker, Inc.'s industry?
Stanley Black & Decker, Inc. (SWK) maps to Cutlery, Handtools & General Hardware with a mid-pack industry AI grade B (37.6/100). That score is identical for every tracked employer in the sector. Companies in Cutlery, Handtools & General Hardware sit below the typical industry AI-exposure band. Most roles still need dexterity, interpersonal skill, or on-site presence that current AI systems struggle with.
How is the AI risk score calculated?
The score uses the company's primary industry (SIC 3420: Cutlery, Handtools & General Hardware), 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 Stanley Black & Decker, Inc. face the most AI risk?
Largest estimated shares in the Cutlery, Handtools & General Hardware mix: Molders, shapers, and casters, except metal and plastic (34% AI exposure); Civil engineering technologists and technicians (39% AI exposure); Security and fire alarm systems installers (26% AI exposure). Treat these as industry-typical roles, not Stanley Black & Decker, Inc.'s published org chart.
How many employees does Stanley Black & Decker, Inc. have?
Stanley Black & Decker, Inc. does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.
Has Stanley Black & Decker, Inc. had layoffs?
WARN Act layoff notices for Stanley Black & Decker, 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 Stanley Black & Decker, Inc. in?
Stanley Black & Decker, Inc. is classified under SIC 3420 (Cutlery, Handtools & General Hardware), mapping to NAICS sector 33. That classification selects the BLS occupation mix behind the AI exposure grade.
What to do with this
Use Stanley Black & Decker, 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
- See exactly how the AI risk score above is calculated from occupation-level exposure data. Reading AI exposure scores
- 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.