A

Low AI Risk (below 35%)

Rank #1807 of all employers

BLS + SEC data Crude Petroleum & Natural Gas AI-risk grade A

Eni Spa

Workforce AI-exposure profile for Eni Spa - risk grade, employee trend, and occupation mix estimated from BLS industry-occupation distributions and SEC filings.

E Crude Petroleum & Natural Gas SIC 1311
AI Displacement Risk Score
33.5% A

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

Workforce Size
N/A
Not reported in XBRL filings
Industry Classification
Crude Petroleum & Natural Gas
SIC Code: 1311
NAICS Sector: 21
The verdict

Eni Spa's workforce carries a grade A AI-risk profile (33.5% weighted exposure), 8.4 points below the 41.9% average across 1,965 tracked employers. That makes its workforce relatively AI-resilient versus peers.

33.5%
AI exposure
A
Risk grade
#1,807
of 1,965 employers

Where Eni Spa sits among tracked employers

Weighted workforce AI-exposure across 1,965 public employers. Eni Spa is marked in rose.

AI exposure distribution - Eni Spa marked 38 employers at 30–33% 38 30 121 employers at 33–35% 121 33 285 employers at 35–38% 285 35 410 employers at 38–40% 410 38 308 employers at 40–43% 308 40 0 employers at 43–45% 43 403 employers at 45–48% 403 45 89 employers at 48–50% 89 48 311 employers at 50–53% 311 50 0 employers at 53–55% 53 AI exposure (%) →
Top 92% by AI exposure Higher AI exposure than 8% of all 1,965 employers.

Eni Spa has ai exposure of 33.5%. Distribution: 38 employers at 30-33%; 121 employers at 33-35%; 285 employers at 35-38%; 410 employers at 38-40%; 308 employers at 40-43%; 0 employers at 43-45%; 403 employers at 45-48%; 89 employers at 48-50%; 311 employers at 50-53%; 0 employers at 53-55%.

AI Displacement Risk Analysis

Companies in Crude Petroleum & Natural Gas face low AI displacement risk. The workforce primarily consists of roles involving physical labor, complex manual skills, or high-touch human services that AI cannot easily replicate.

A
B
C
D
F

Workforce Insight

As of May 2026, Eni Spa (E) operates in Crude Petroleum & Natural Gas under SIC 1311, mapping to NAICS sector 21. The company carries an AI displacement risk grade of A with a weighted exposure score of 33.5%, derived from the occupation mix typical to this industry and mapped against O*NET Database 30.0 task-level automation probabilities. This positions Eni Spa at rank #1807 among all public employers tracked by PlainWorkforce.

Workforce size is not disclosed in recent SEC filings. The estimated occupation mix includes 6 distinct roles drawn from BLS industry-occupation employment distributions, with Helpers--painters, paperhangers, plasterers, and stucco masons representing the largest share.

Why the Grade A signal matters

For workers and investors, this grade quantifies exposure to a specific macro force, the ongoing displacement pressure from generative AI and robotic process automation, that traditional financial disclosures do not yet capture. Grades A and B indicate workforces anchored in tasks requiring physical presence, complex judgment, or interpersonal skill; Grades D and F concentrate in clerical, administrative, and routine analytical tasks now within reach of large language models. Read this profile alongside the occupation-level task and skill breakdowns and the BLS employment projections to build a complete picture of Eni Spa's labor footprint.

Estimated Workforce Occupation Mix (Industry Average)

Eni Spa does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Crude Petroleum & Natural Gas (BLS industry-occupation employment distributions), not company-specific data. AI exposure scores from O*NET Database 30.0.

Occupation Est. Workforce Share AI Exposure
Helpers--painters, paperhangers, plasterers, and stucco masons
SOC 47-3014
25%
26%
Security and fire alarm systems installers
SOC 49-2098
25%
26%
Molders, shapers, and casters, except metal and plastic
SOC 51-9195
20%
34%
Civil engineering technologists and technicians
SOC 17-3022
15%
39%
Funeral home managers
SOC 11-9171
8%
38%
Shipping, receiving, and inventory clerks
SOC 43-5071
7%
60%

Frequently Asked Questions

What is Eni Spa's AI risk grade?

Eni Spa (E) has an AI risk grade of A with a score of 33.5% - low ai risk (below 35%). Companies in Crude Petroleum & Natural Gas face low AI displacement risk. The workforce primarily consists of roles involving physical labor, complex manual skills, or high-touch human services that AI cannot easily replicate.

How is the AI risk score calculated?

The AI risk score is computed from the company's primary industry (SIC 1311: Crude Petroleum & Natural Gas), mapped to Bureau of Labor Statistics occupational employment distributions. For each occupation in the industry workforce, we apply O*NET task-level AI exposure scores and compute a weighted average. A score of 0 means no AI risk; 100 means maximum exposure.

Which occupations at Eni Spa face the most AI risk?

Based on the industry occupation mix, key roles at Eni Spa include: Helpers--painters, paperhangers, plasterers, and stucco masons (26% AI exposure), Security and fire alarm systems installers (26% AI exposure), Molders, shapers, and casters, except metal and plastic (34% AI exposure). These represent the largest estimated workforce shares.

How many employees does Eni Spa have?

Eni Spa's employee count is not reported in its XBRL filings. Workforce size can vary, check the company's most recent annual report or SEC filings for current data.

Has Eni Spa had layoffs?

WARN Act layoff notices and workforce reduction history for Eni Spa are published by state labor agencies and the U.S. Department of Labor. WARN Act data covers mass layoffs affecting 100+ workers, as required by federal reporting. Not all workforce changes are captured in WARN filings.

What industry is Eni Spa in?

Eni Spa is classified under SIC code 1311 (Crude Petroleum & Natural Gas), which maps to NAICS sector 21. Industry classification determines the occupation mix used to compute the AI displacement risk score.

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 Editorial