C

Moderate AI Risk (43–48%)

Industry occupation-mix grade — shared by every Land Subdividers & Developers (No Cemeteries) employer tracked

BLS + SEC data Land Subdividers & Developers (No Cemeteries) Industry AI-risk grade C

ST JOE Co

Workforce AI-exposure profile for ST JOE Co: industry grade C (45.1/100), plus SEC headcount and BLS occupation mix.

JOE Land Subdividers & Developers (No Cemeteries) SIC 6552
Industry AI Displacement Exposure
45.1/100 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
Land Subdividers & Developers (No Cemeteries)
SIC Code: 6552
NAICS Sector: 53
The verdict

ST JOE Co's workforce carries a grade C AI-risk profile (45.1% weighted exposure), 3.2 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.

45.1%
AI exposure
C
Risk grade
53
NAICS sector the grade comes from

Where ST JOE Co sits among tracked employers

Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Land Subdividers & Developers (No Cemeteries)'s value, which every employer we track in that sector shares — it is not a measurement of ST JOE Co specifically.

Where ST JOE Co's industry AI exposure sits

Industry occupation-mix AI exposure across tracked public employers

45.1% Around the middle lower than 35% 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 Land Subdividers & Developers (No Cemeteries) 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: 45.1/100 (grade C) · industry AI-exposure score (corpus extremity among disclosed peers)

As of May 2026, ST JOE Co sits near the middle on both disclosed headcount and three-year change. Industry grade C (45.1/100) is shared by every tracked employer in Land Subdividers & Developers (No Cemeteries). As of May 2026, ST JOE Co (JOE) has no XBRL headcount on file. Industry grade C (45.1/100) from Land Subdividers & Developers (No Cemeteries) is the primary measurable signal here.

SIC 6552 · NAICS 53 · 6 estimated roles; largest share First-line supervisors of retail sales workers · sources SEC EDGAR · O*NET 30.0 · BLS industry-occupation distributions.

Estimated Workforce Occupation Mix (Industry Average)

ST JOE Co does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Land Subdividers & Developers (No Cemeteries) (BLS industry-occupation employment distributions), not company-specific data. AI exposure scores from O*NET Database 30.0.

Occupation Est. Workforce Share AI Exposure
First-line supervisors of retail sales workers
SOC 41-1011
35%
45%
Shipping, receiving, and inventory clerks
SOC 43-5071
28%
60%
Helpers--painters, paperhangers, plasterers, and stucco masons
SOC 47-3014
12%
26%
Funeral home managers
SOC 11-9171
12%
38%
First-line supervisors of landscaping, lawn service, and groundskeeping workers
SOC 37-1012
8%
29%
Insurance underwriters
SOC 13-2053
5%
45%

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 ST JOE Co's industry?

ST JOE Co (JOE) maps to Land Subdividers & Developers (No Cemeteries) with a mid-pack industry AI grade C (45.1/100). That score is identical for every tracked employer in the sector. Companies in Land Subdividers & Developers (No Cemeteries) 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 6552: Land Subdividers & Developers (No Cemeteries)), 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 ST JOE Co face the most AI risk?

Largest estimated shares in the Land Subdividers & Developers (No Cemeteries) mix: First-line supervisors of retail sales workers (45% AI exposure); Shipping, receiving, and inventory clerks (60% AI exposure); Helpers--painters, paperhangers, plasterers, and stucco masons (26% AI exposure). Treat these as industry-typical roles, not ST JOE Co's published org chart.

How many employees does ST JOE Co have?

ST JOE Co does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.

Has ST JOE Co had layoffs?

WARN Act layoff notices for ST JOE Co 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 ST JOE Co in?

ST JOE Co is classified under SIC 6552 (Land Subdividers & Developers (No Cemeteries)), mapping to NAICS sector 53. That classification selects the BLS occupation mix behind the AI exposure grade.

What to do with this

Use ST JOE Co'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