Low AI Risk (below 35%)
Rank #1930 of all employers
Sterling Infrastructure, Inc.
Workforce AI-exposure profile for Sterling Infrastructure, Inc. - risk grade, employee trend, and occupation mix estimated from BLS industry-occupation distributions and SEC filings.
Weighted average O*NET AI exposure score for this industry's occupation mix
Sterling Infrastructure, Inc.'s workforce carries a grade A AI-risk profile (31.7% weighted exposure), 10.2 points below the 41.9% average across 1,965 tracked employers. That makes its workforce relatively AI-resilient versus peers.
Where Sterling Infrastructure, Inc. sits among tracked employers
Weighted workforce AI-exposure across 1,965 public employers. Sterling Infrastructure, Inc. is marked in rose.
Sterling Infrastructure, Inc. has ai exposure of 31.7%. 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 Heavy Construction Other Than Bldg Const - Contractors 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.
Workforce Insight
As of May 2026, Sterling Infrastructure, Inc. (STRL) operates in Heavy Construction Other Than Bldg Const - Contractors under SIC 1600, mapping to NAICS sector 23. The company carries an AI displacement risk grade of A with a weighted exposure score of 31.7%, derived from the occupation mix typical to this industry and mapped against O*NET Database 30.0 task-level automation probabilities. This positions Sterling Infrastructure, Inc. at rank #1930 among all public employers tracked by PlainWorkforce.
Workforce size is approximately 1,740 employees as reported in the most recent SEC 10-K XBRL filing. 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 Sterling Infrastructure, Inc.'s labor footprint.
Estimated Workforce Occupation Mix (Industry Average)
Sterling Infrastructure, Inc. does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Heavy Construction Other Than Bldg Const - Contractors (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 | | |
| Security and fire alarm systems installers SOC 49-2098 | | |
| Funeral home managers SOC 11-9171 | | |
| Shipping, receiving, and inventory clerks SOC 43-5071 | | |
| Gas compressor and gas pumping station operators SOC 53-7071 | | |
| First-line supervisors of retail sales workers SOC 41-1011 | | |
Career Guides
Explore More on PlainWorkforce
Frequently Asked Questions
What is Sterling Infrastructure, Inc.'s AI risk grade?
Sterling Infrastructure, Inc. (STRL) has an AI risk grade of A with a score of 31.7% - low ai risk (below 35%). Companies in Heavy Construction Other Than Bldg Const - Contractors 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 1600: Heavy Construction Other Than Bldg Const - Contractors), 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 Sterling Infrastructure, Inc. face the most AI risk?
Based on the industry occupation mix, key roles at Sterling Infrastructure, Inc. include: Helpers--painters, paperhangers, plasterers, and stucco masons (26% AI exposure), Security and fire alarm systems installers (26% AI exposure), Funeral home managers (38% AI exposure). These represent the largest estimated workforce shares.
How many employees does Sterling Infrastructure, Inc. have?
Sterling Infrastructure, Inc. reports approximately 1,740 employees in its most recent SEC 10-K filing.
Has Sterling Infrastructure, Inc. had layoffs?
WARN Act layoff notices and workforce reduction history for Sterling Infrastructure, Inc. 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 Sterling Infrastructure, Inc. in?
Sterling Infrastructure, Inc. is classified under SIC code 1600 (Heavy Construction Other Than Bldg Const - Contractors), which maps to NAICS sector 23. 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.