C

Moderate AI Risk (43–48%)

Industry occupation-mix grade — shared by every Services-Management Services employer tracked

BLS + SEC data Services-Management Services Industry AI-risk grade C

Rentokil Initial PLC /Fi

Workforce AI-exposure profile for Rentokil Initial PLC /Fi: industry grade C (47.9/100), plus SEC headcount and BLS occupation mix.

RTO Services-Management Services SIC 8741
Industry AI Displacement Exposure
47.9/100 C

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

Workforce Size
N/A
Not reported in XBRL filings
Industry Classification
Services-Management Services
SIC Code: 8741
NAICS Sector: 54
The verdict

Rentokil Initial PLC /Fi's workforce carries a grade C AI-risk profile (47.9% weighted exposure), 6.0 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.

47.9%
AI exposure
C
Risk grade
54
NAICS sector the grade comes from

Where Rentokil Initial PLC /Fi sits among tracked employers

Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Services-Management Services's value, which every employer we track in that sector shares — it is not a measurement of Rentokil Initial PLC /Fi specifically.

Where Rentokil Initial PLC /Fi's industry AI exposure sits

Industry occupation-mix AI exposure across tracked public employers

47.9% Higher than most higher than 84% 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 Services-Management Services sit in a mid industry AI-exposure band. Some roles will be augmented, while core work still needs judgment, creativity, or complex problem-solving.

A
B
C
D
F

Industry exposure standing

Signature: 47.9/100 (grade C) · industry AI-exposure score (corpus extremity among disclosed peers)

As of May 2026, Rentokil Initial PLC /Fi sits near the middle on both disclosed headcount and three-year change. Industry grade C (47.9/100) is shared by every tracked employer in Services-Management Services. As of May 2026, Rentokil Initial PLC /Fi (RTO) has no XBRL headcount on file. Industry grade C (47.9/100) from Services-Management Services is the primary measurable signal here.

SIC 8741 · NAICS 54 · 6 estimated roles; largest share Insurance underwriters · sources SEC EDGAR · O*NET 30.0 · BLS industry-occupation distributions.

Estimated Workforce Occupation Mix (Industry Average)

Rentokil Initial PLC /Fi does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Services-Management Services (BLS industry-occupation employment distributions), not company-specific data. AI exposure scores from O*NET Database 30.0.

Occupation Est. Workforce Share AI Exposure
Insurance underwriters
SOC 13-2053
28%
45%
Software developers
SOC 15-1252
22%
45%
Shipping, receiving, and inventory clerks
SOC 43-5071
18%
60%
Civil engineering technologists and technicians
SOC 17-3022
15%
39%
Funeral home managers
SOC 11-9171
12%
38%
Administrative law judges, adjudicators, and hearing officers
SOC 23-1021
5%
42%

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 Rentokil Initial PLC /Fi's industry?

Rentokil Initial PLC /Fi (RTO) maps to Services-Management Services, whose occupation mix is in the upper third of industry AI exposure here (grade C, 47.9/100). Every tracked employer in that sector shares the same grade - it describes the industry mix, not Rentokil Initial PLC /Fi's own roster. Companies in Services-Management Services 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 8741: Services-Management Services), 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 Rentokil Initial PLC /Fi face the most AI risk?

Largest estimated shares in the Services-Management Services mix: Insurance underwriters (45% AI exposure); Software developers (45% AI exposure); Shipping, receiving, and inventory clerks (60% AI exposure). Treat these as industry-typical roles, not Rentokil Initial PLC /Fi's published org chart.

How many employees does Rentokil Initial PLC /Fi have?

Rentokil Initial PLC /Fi does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.

Has Rentokil Initial PLC /Fi had layoffs?

WARN Act layoff notices for Rentokil Initial PLC /Fi 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 Rentokil Initial PLC /Fi in?

Rentokil Initial PLC /Fi is classified under SIC 8741 (Services-Management Services), mapping to NAICS sector 54. That classification selects the BLS occupation mix behind the AI exposure grade.

What to do with this

Use Rentokil Initial PLC /Fi'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