Below-Average Risk (35–42%)
Industry occupation-mix grade — shared by every Electric & Other Services Combined employer tracked
Public Service Enterprise Group Inc
Workforce AI-exposure profile for Public Service Enterprise Group Inc: industry grade B (40.5/100), plus SEC headcount and BLS occupation mix.
Weighted average O*NET AI exposure score for this industry's occupation mix
Public Service Enterprise Group Inc's workforce carries a grade B AI-risk profile (40.5% weighted exposure), 1.4 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 Public Service Enterprise Group Inc sits among tracked employers
Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Electric & Other Services Combined's value, which every employer we track in that sector shares — it is not a measurement of Public Service Enterprise Group Inc specifically.
Where Public Service Enterprise Group Inc's industry AI exposure sits
Industry occupation-mix AI exposure across tracked public employers
40.5% Around the middle lower than 47% 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 Electric & Other Services Combined 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: 40.5/100 (grade B) · industry AI-exposure score (corpus extremity among disclosed peers)
As of May 2026, Public Service Enterprise Group Inc sits near the middle on both disclosed headcount and three-year change. Industry grade B (40.5/100) is shared by every tracked employer in Electric & Other Services Combined. As of May 2026, Public Service Enterprise Group Inc (PEG) has no XBRL headcount on file. Industry grade B (40.5/100) from Electric & Other Services Combined is the primary measurable signal here.
SIC 4931 · NAICS 48-49 · 5 estimated roles; largest share Gas compressor and gas pumping station operators · sources SEC EDGAR · O*NET 30.0 · BLS industry-occupation distributions.
Estimated Workforce Occupation Mix (Industry Average)
Public Service Enterprise Group Inc does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Electric & Other Services Combined (BLS industry-occupation employment distributions), not company-specific data. AI exposure scores from O*NET Database 30.0.
| Occupation | Est. Workforce Share | AI Exposure |
|---|---|---|
| Gas compressor and gas pumping station operators SOC 53-7071 | | |
| Shipping, receiving, and inventory clerks SOC 43-5071 | | |
| Security and fire alarm systems installers SOC 49-2098 | | |
| Funeral home managers SOC 11-9171 | | |
| First-line supervisors of landscaping, lawn service, and groundskeeping workers SOC 37-1012 | | |
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 Public Service Enterprise Group Inc's industry?
Public Service Enterprise Group Inc (PEG) maps to Electric & Other Services Combined with a mid-pack industry AI grade B (40.5/100). That score is identical for every tracked employer in the sector. Companies in Electric & Other Services Combined 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 4931: Electric & Other Services Combined), 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 Public Service Enterprise Group Inc face the most AI risk?
Largest estimated shares in the Electric & Other Services Combined mix: Gas compressor and gas pumping station operators (38% AI exposure); Shipping, receiving, and inventory clerks (60% AI exposure); Security and fire alarm systems installers (26% AI exposure). Treat these as industry-typical roles, not Public Service Enterprise Group Inc's published org chart.
How many employees does Public Service Enterprise Group Inc have?
Public Service Enterprise Group Inc does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.
Has Public Service Enterprise Group Inc had layoffs?
WARN Act layoff notices for Public Service Enterprise Group 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 Public Service Enterprise Group Inc in?
Public Service Enterprise Group Inc is classified under SIC 4931 (Electric & Other Services Combined), mapping to NAICS sector 48-49. That classification selects the BLS occupation mix behind the AI exposure grade.
What to do with this
Use Public Service Enterprise Group 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.