Waterbury-Shelton
High Risk
AI Risk Score
โ ๏ธ65/100
#332 of 393 ยท -5 vs avg
Workers Vulnerable
๐ฏ43,950
27.7% of workforce
Average Wage
๐ฐ$68K
+$8K vs national
Tech Employment
๐ป2.1%
National avg: 2.0%
Service Employment
๐ช30.2%
National avg: 31.3%
WARN Notices (2025)
๐0
Layoff filings
๐ก Waterbury-Shelton has an AI risk score of 65/100 with 27.7% of workers in vulnerable roles โ led by Retail. Average wages of $68K are above the national metro average. See Connecticut overview โ
AI Risk Analysis
The Waterbury-Shelton metropolitan area receives an AI displacement risk score of 65 out of 100, placing it at rank #332 among 393 US metros. This is close to the national metro average of 70, placing the area in the middle of the risk spectrum. An estimated 43,950 workers โ 27.7% of the workforce โ hold positions in occupations highly susceptible to automation.
The primary driver of risk in Waterbury-Shelton is the concentration of employment in Retail, an industry where routine tasks, data processing, and customer interactions are increasingly being handled by AI systems. Among the most at-risk occupations in the area are Cashiers, Fast Food and Counter Workers, Retail Salespersons, and Stockers and Order Fillers โ roles where advances in natural language processing, computer vision, and robotic process automation are already reducing demand.
Higher-than-average wages ($68K vs $60K nationally) may provide workers more resources to invest in reskilling, but also create stronger economic incentives for employers to automate. Workers in this metro should consider developing complementary AI skills, exploring transition paths to lower-risk occupations, and leveraging local workforce development resources.
Automation Vulnerability
43,950
workers at risk (27.7%)
Top At-Risk Occupations
* Estimated local employment based on metro's share of national workforce. Actual distribution may vary.
Industry Breakdown
Top at-risk industry: Retail
National avg: 2.0%
National avg: 31.3%
โ ๏ธ Retail Trade โ Highest Risk Industry
National risk score: 56/100 ยท 26,703,360 employed nationally ยท Projected -2.1% job decline ยท Advanced AI adoption stage
Comparison to National Average
Risk Score
-5
vs 70 national avg
Average Wage
+$8K
vs $60K national avg
Vulnerable Workers
-1.8%
vs 29.5% national avg
Similar Metro Areas
Metros with similar employment size and risk profile
National Economic Context
Latest national labor market indicators from FRED (Federal Reserve Economic Data)
Unemployment Rate
4.4%
2026-02
Labor Participation
62%
2026-02
Weekly UI Claims
214,000,000
2026-02
Job Openings
6.9M
2026-01
Career Resources for Waterbury-Shelton
Connecticut Workforce Agency
State employment services, unemployment benefits, and job training programs
CareerOneStop
Find local American Job Centers, training providers, and career counseling
Local Community Colleges
Affordable reskilling programs, certifications, and degree pathways
Google Career Certificates
Professional certificates in data analytics, IT, project management, and UX design
๐ Methodology
Metro area AI risk scores are calculated using a composite model that weighs multiple factors: occupational automation probability (based on Frey & Osborne methodology and updated GenAI exposure scores), industry concentration risk, local employment mix, wage levels, and historical WARN Act layoff notices.
Scores range from 0 (lowest risk) to 100 (highest risk) and represent relative vulnerability compared to other US metro areas. Individual occupation risk scores within the metro are estimated by applying the metro's employment share to national occupation-level data. Data sources include BLS Occupational Employment and Wage Statistics, Census Bureau population estimates, and state WARN Act filings.