Bloomington

๐Ÿ“ IllinoisยทPop. 191,830ยท90,160 employedยทRanked #64 of 393 metros
74

High Risk

AI Risk Score

โš ๏ธ

74/100

#64 of 393 ยท +4 vs avg

Workers Vulnerable

๐ŸŽฏ

26,070

28.9% of workforce

Average Wage

๐Ÿ’ฐ

$69K

+$9K vs national

Tech Employment

๐Ÿ’ป

4.9%

National avg: 2.0%

Service Employment

๐Ÿช

28.2%

National avg: 31.3%

WARN Notices (2025)

๐Ÿ“‹

0

Layoff filings

๐Ÿ’ก Bloomington has an AI risk score of 74/100 with 28.9% of workers in vulnerable roles โ€” led by Insurance. Average wages of $69K are above the national metro average. See Illinois overview โ†’

AI Risk Analysis

The Bloomington metropolitan area receives an AI displacement risk score of 74 out of 100, placing it at rank #64 among 393 US metros. This is 4 points above the national metro average of 70, reflecting moderately elevated risk. An estimated 26,070 workers โ€” 28.9% of the workforce โ€” hold positions in occupations highly susceptible to automation.

The primary driver of risk in Bloomington is the concentration of employment in Insurance, 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 Insurance Underwriters, Fast Food and Counter Workers, Cashiers, and Retail Salespersons โ€” roles where advances in natural language processing, computer vision, and robotic process automation are already reducing demand. The area's above-average tech employment (4.9% vs 2.0% nationally) creates a dual dynamic: while tech workers build AI tools, many adjacent roles face displacement.

Higher-than-average wages ($69K 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

26,070

workers at risk (28.9%)

0%28.9%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: Insurance

Tech Sector4.9%

National avg: 2.0% โฌ†๏ธ Above average

Service Sector28.2%

National avg: 31.3% โœ… Below average exposure

โš ๏ธ Finance and Insurance โ€” Highest Risk Industry

National risk score: 51/100 ยท 20,702,870 employed nationally ยท Advanced AI adoption stage

Comparison to National Average

Risk Score

+4

vs 70 national avg

Average Wage

+$9K

vs $60K national avg

Vulnerable Workers

-0.6%

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.