Goldsboro

๐Ÿ“ North CarolinaยทPop. 87,255ยท41,010 employedยทRanked #88 of 393 metros
74

High Risk

AI Risk Score

โš ๏ธ

74/100

#88 of 393 ยท +4 vs avg

Workers Vulnerable

๐ŸŽฏ

12,790

31.2% of workforce

Average Wage

๐Ÿ’ฐ

$49K

$-11K vs national

Tech Employment

๐Ÿ’ป

0.8%

National avg: 2.0%

Service Employment

๐Ÿช

32.1%

National avg: 31.3%

WARN Notices (2025)

๐Ÿ“‹

0

Layoff filings

๐Ÿ’ก Goldsboro has an AI risk score of 74/100 with 31.2% of workers in vulnerable roles โ€” led by Retail. Average wages of $49K are below the national metro average. See North Carolina overview โ†’

AI Risk Analysis

The Goldsboro metropolitan area receives an AI displacement risk score of 74 out of 100, placing it at rank #88 among 393 US metros. This is 4 points above the national metro average of 70, reflecting moderately elevated risk. An estimated 12,790 workers โ€” 31.2% of the workforce โ€” hold positions in occupations highly susceptible to automation.

The primary driver of risk in Goldsboro 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, Retail Salespersons, Cooks, Fast Food, and Stockers and Order Fillers โ€” roles where advances in natural language processing, computer vision, and robotic process automation are already reducing demand.

Below-average wages ($49K 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

12,790

workers at risk (31.2%)

0%31.2%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: Retail

Tech Sector0.8%

National avg: 2.0%

Service Sector32.1%

National avg: 31.3%

โš ๏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

+4

vs 70 national avg

Average Wage

$-11K

vs $60K national avg

Vulnerable Workers

+1.7%

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.