Below-Average Risk (35–42%)
Industry occupation-mix grade — shared by every Pharmaceutical Preparations employer tracked
Dianthus Therapeutics, Inc. /DE/
Workforce AI-exposure profile for Dianthus Therapeutics, Inc. /DE/: industry grade B (36.9/100), plus SEC headcount and BLS occupation mix.
Weighted average O*NET AI exposure score for this industry's occupation mix
Dianthus Therapeutics, Inc. /DE/'s workforce carries a grade B AI-risk profile (36.9% weighted exposure), 5.0 points below the 41.9% average across 1,965 tracked employers. That is a relatively AI-resilient occupation mix among the industries tracked here; it describes the industry, not this company's own staffing.
Where Dianthus Therapeutics, Inc. /DE/ sits among tracked employers
Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Pharmaceutical Preparations's value, which every employer we track in that sector shares — it is not a measurement of Dianthus Therapeutics, Inc. /DE/ specifically.
Where Dianthus Therapeutics, Inc. /DE/'s industry AI exposure sits
Industry occupation-mix AI exposure across tracked public employers
36.9% Among the lowest lower than 77% 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 Pharmaceutical Preparations 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: 36.9/100 (grade B) · industry AI-exposure score (corpus extremity among disclosed peers)
As of May 2026, Dianthus Therapeutics, Inc. /DE/ sits near the middle on both disclosed headcount and three-year change. Industry grade B (36.9/100) is shared by every tracked employer in Pharmaceutical Preparations. As of May 2026, Dianthus Therapeutics, Inc. /DE/ (DNTH) has no XBRL headcount on file. Industry grade B (36.9/100) from Pharmaceutical Preparations is the primary measurable signal here.
SIC 2834 · NAICS 31-32 · 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)
Dianthus Therapeutics, Inc. /DE/ does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Pharmaceutical Preparations (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 | | |
| Security and fire alarm systems installers SOC 49-2098 | | |
| Gas compressor and gas pumping station operators SOC 53-7071 | | |
| Shipping, receiving, and inventory clerks SOC 43-5071 | | |
| Funeral home managers SOC 11-9171 | | |
| First-line supervisors of retail sales workers SOC 41-1011 | | |
For building automation-resistant skills around lower-exposure mixes, see how to future-proof a career against AI.
Frequently Asked Questions
What is the AI risk grade for Dianthus Therapeutics, Inc. /DE/'s industry?
Dianthus Therapeutics, Inc. /DE/ (DNTH) maps to Pharmaceutical Preparations, whose occupation mix is in the lower third of industry AI exposure here (grade B, 36.9/100). The grade is sector-shared, not a company staffing measurement. Companies in Pharmaceutical Preparations 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 2834: Pharmaceutical Preparations), 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 Dianthus Therapeutics, Inc. /DE/ face the most AI risk?
Even with a lower industry grade, the largest estimated shares still matter: Molders, shapers, and casters, except metal and plastic (34% AI exposure); Security and fire alarm systems installers (26% AI exposure); Gas compressor and gas pumping station operators (38% AI exposure). They come from BLS industry-occupation distributions, not a company filing.
How many employees does Dianthus Therapeutics, Inc. /DE/ have?
Dianthus Therapeutics, Inc. /DE/ does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.
Has Dianthus Therapeutics, Inc. /DE/ had layoffs?
WARN Act layoff notices for Dianthus Therapeutics, Inc. /DE/ 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 Dianthus Therapeutics, Inc. /DE/ in?
Dianthus Therapeutics, Inc. /DE/ is classified under SIC 2834 (Pharmaceutical Preparations), mapping to NAICS sector 31-32. That classification selects the BLS occupation mix behind the AI exposure grade.
What to do with this
Use Dianthus Therapeutics, Inc. /DE/'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 lower-exposure occupations, see how to build automation-resistant skills. Future-proof careers
- 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.