Moderate AI Risk (43–48%)
Rank #312 of all employers
TETRA TECH INC
Open-data reference.
Weighted average O*NET AI exposure score for this industry's occupation mix
AI Displacement Risk Analysis
Companies in Services-Engineering Services face moderate AI displacement risk. While some roles will be augmented by AI, core operations require human judgment, creativity, and complex problem-solving.
Workforce Insight
TETRA TECH INC (TTEK) operates in Services-Engineering Services under SIC 8711, mapping to NAICS sector 54. The company carries an AI displacement risk grade of C with a weighted exposure score of 47.9%, derived from the occupation mix typical to this industry and mapped against O*NET Database 30.0 task-level automation probabilities. This positions TETRA TECH INC at rank #312 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 Insurance underwriters representing the largest share.
For workers and investors, the Grade C signal matters because it 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 TETRA TECH INC's labor footprint.
Estimated Workforce Occupation Mix
Based on BLS industry-occupation employment distributions for Services-Engineering Services. AI exposure scores from O*NET Database 30.0.
| Occupation | Est. Workforce Share | AI Exposure |
|---|---|---|
| Insurance underwriters SOC 13-2053 | | |
| Software developers SOC 15-1252 | | |
| Shipping, receiving, and inventory clerks SOC 43-5071 | | |
| Civil engineering technologists and technicians SOC 17-3022 | | |
| Funeral home managers SOC 11-9171 | | |
| Administrative law judges, adjudicators, and hearing officers SOC 23-1021 | | |
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Frequently Asked Questions
What is TETRA TECH INC's AI risk grade?
TETRA TECH INC (TTEK) has an AI risk grade of C with a score of 47.9% — moderate ai risk (43–48%). Companies in Services-Engineering Services face moderate AI displacement risk. While some roles will be augmented by AI, core operations require human judgment, creativity, and complex problem-solving.
How is the AI risk score calculated?
The AI risk score is computed from the company's primary industry (SIC 8711: Services-Engineering Services), 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 TETRA TECH INC face the most AI risk?
Based on the industry occupation mix, key roles at TETRA TECH INC include: Insurance underwriters (45% AI exposure), Software developers (45% AI exposure), Shipping, receiving, and inventory clerks (60% AI exposure). These represent the largest estimated workforce shares.
How many employees does TETRA TECH INC have?
TETRA TECH INC'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 TETRA TECH INC had layoffs?
WARN Act layoff notices and workforce reduction history for TETRA TECH 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 TETRA TECH INC in?
TETRA TECH INC is classified under SIC code 8711 (Services-Engineering Services), which maps to NAICS sector 54. 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.