B

Below-Average Risk (35–42%)

Industry occupation-mix grade — shared by every Electrical Industrial Apparatus employer tracked

BLS + SEC data Electrical Industrial Apparatus Industry AI-risk grade B

Forgent Power Solutions, Inc.

Workforce AI-exposure profile for Forgent Power Solutions, Inc.: industry grade B (37.6/100), plus SEC headcount and BLS occupation mix.

FPS Electrical Industrial Apparatus SIC 3620
Industry AI Displacement Exposure
37.6/100 B

Weighted average O*NET AI exposure score for this industry's occupation mix

Workforce Size
N/A
Not reported in XBRL filings
Industry Classification
Electrical Industrial Apparatus
SIC Code: 3620
NAICS Sector: 33
The verdict

Forgent Power Solutions, 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.

37.6%
AI exposure
B
Risk grade
33
NAICS sector the grade comes from

Where Forgent Power Solutions, Inc. sits among tracked employers

Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Electrical Industrial Apparatus's value, which every employer we track in that sector shares — it is not a measurement of Forgent Power Solutions, Inc. specifically.

Where Forgent Power Solutions, 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 Electrical Industrial Apparatus 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.

A
B
C
D
F

Industry exposure standing

Signature: 37.6/100 (grade B) · industry AI-exposure score (corpus extremity among disclosed peers)

As of May 2026, Forgent Power Solutions, 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 Electrical Industrial Apparatus. As of May 2026, Forgent Power Solutions, Inc. (FPS) has no XBRL headcount on file. Industry grade B (37.6/100) from Electrical Industrial Apparatus is the primary measurable signal here.

SIC 3620 · 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)

Forgent Power Solutions, Inc. does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Electrical Industrial Apparatus (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
40%
34%
Civil engineering technologists and technicians
SOC 17-3022
18%
39%
Security and fire alarm systems installers
SOC 49-2098
15%
26%
Shipping, receiving, and inventory clerks
SOC 43-5071
10%
60%
Funeral home managers
SOC 11-9171
9%
38%
Gas compressor and gas pumping station operators
SOC 53-7071
8%
38%

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 Forgent Power Solutions, Inc.'s industry?

Forgent Power Solutions, Inc. (FPS) maps to Electrical Industrial Apparatus with a mid-pack industry AI grade B (37.6/100). That score is identical for every tracked employer in the sector. Companies in Electrical Industrial Apparatus 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 3620: Electrical Industrial Apparatus), 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 Forgent Power Solutions, Inc. face the most AI risk?

Largest estimated shares in the Electrical Industrial Apparatus 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 Forgent Power Solutions, Inc.'s published org chart.

How many employees does Forgent Power Solutions, Inc. have?

Forgent Power Solutions, Inc. does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.

Has Forgent Power Solutions, Inc. had layoffs?

WARN Act layoff notices for Forgent Power Solutions, 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 Forgent Power Solutions, Inc. in?

Forgent Power Solutions, Inc. is classified under SIC 3620 (Electrical Industrial Apparatus), mapping to NAICS sector 33. That classification selects the BLS occupation mix behind the AI exposure grade.

What to do with this

Use Forgent Power Solutions, Inc.'s risk profile above to plan next steps, not just react to the grade.

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.

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce