Arecibo
Very High Risk
AI Risk Score
โ ๏ธ92/100
#2 of 393 ยท +22 vs avg
Workers Vulnerable
๐ฏ13,790
39.4% of workforce
Average Wage
๐ฐ$32K
$-28K vs national
Tech Employment
๐ป0.4%
National avg: 2.0%
Service Employment
๐ช38.4%
National avg: 31.3%
WARN Notices (2025)
๐0
Layoff filings
๐ก Arecibo has an AI risk score of 92/100 with 39.4% of workers in vulnerable roles โ led by Retail. Average wages of $32K are below the national metro average. Compare metros โ
AI Risk Analysis
The Arecibo metropolitan area receives an AI displacement risk score of 92 out of 100, placing it at rank #2 among 393 US metros. This is 22 points above the national metro average of 70, indicating significantly elevated vulnerability to AI-driven job displacement. An estimated 13,790 workers โ 39.4% of the workforce โ hold positions in occupations highly susceptible to automation. This vulnerability rate exceeds the national average of 29.5% by 9.9 percentage points.
The primary driver of risk in Arecibo 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 Retail Salespersons, Cashiers, Fast Food and Counter Workers, and Sewing Machine Operators โ roles where advances in natural language processing, computer vision, and robotic process automation are already reducing demand. The metro's heavy service sector concentration (38.4% vs 31.3% nationally) amplifies vulnerability, as customer-facing and back-office roles are prime targets for AI automation.
Below-average wages ($32K vs $60K nationally) may slow automation adoption due to lower ROI on AI investment, but also leave workers with fewer resources for career transitions. 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
13,790
workers at risk (39.4%)
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 High concentration โ elevated AI risk
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
+22
vs 70 national avg
Average Wage
$-28K
vs $60K national avg
Vulnerable Workers
+9.9%
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 Arecibo
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.