Las Vegas-Henderson-North Las Vegas

๐Ÿ“ NevadaยทPop. 2,381,617ยท1,119,360 employedยทRanked #30 of 393 metros
76

High Risk

AI Risk Score

โš ๏ธ

76/100

#30 of 393 ยท +6 vs avg

Workers Vulnerable

๐ŸŽฏ

363,410

32.5% of workforce

Average Wage

๐Ÿ’ฐ

$59K

$-771 vs national

Tech Employment

๐Ÿ’ป

1.7%

National avg: 2.0%

Service Employment

๐Ÿช

39.3%

National avg: 31.3%

WARN Notices (2025)

๐Ÿ“‹

0

Layoff filings

๐Ÿ’ก Las Vegas-Henderson-North Las Vegas has an AI risk score of 76/100 with 32.5% of workers in vulnerable roles โ€” led by Food Service & Hospitality. Average wages of $59K are below the national metro average. See Nevada overview โ†’

AI Risk Analysis

The Las Vegas-Henderson-North Las Vegas metropolitan area receives an AI displacement risk score of 76 out of 100, placing it at rank #30 among 393 US metros. This is 6 points above the national metro average of 70, reflecting moderately elevated risk. An estimated 363,410 workers โ€” 32.5% of the workforce โ€” hold positions in occupations highly susceptible to automation.

The primary driver of risk in Las Vegas-Henderson-North Las Vegas is the concentration of employment in Food Service & Hospitality, 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 Fast Food and Counter Workers, Retail Salespersons, Waiters and Waitresses, and Cashiers 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 (39.3% vs 31.3% nationally) amplifies vulnerability, as customer-facing and back-office roles are prime targets for AI automation.

Average wages in the metro ($59K) are close to the national average, creating neither a strong pull toward nor away from automation investment. 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

363,410

workers at risk (32.5%)

0%32.5%33%+

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: Food Service & Hospitality

Tech Sector1.7%

National avg: 2.0%

Service Sector39.3%

National avg: 31.3% โš ๏ธ High concentration โ€” elevated AI risk

Comparison to National Average

Risk Score

+6

vs 70 national avg

Average Wage

$-771

vs $60K national avg

Vulnerable Workers

+3.0%

vs 29.5% national avg

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

๐Ÿ“Š 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.