Ann Arbor

๐Ÿ“ MichiganยทPop. 463,447ยท217,820 employedยทRanked #374 of 393 metros
60

Elevated

AI Risk Score

โš ๏ธ

60/100

#374 of 393 ยท -10 vs avg

Workers Vulnerable

๐ŸŽฏ

53,160

24.4% of workforce

Average Wage

๐Ÿ’ฐ

$71K

+$12K vs national

Tech Employment

๐Ÿ’ป

3.4%

National avg: 2.0%

Service Employment

๐Ÿช

27.5%

National avg: 31.3%

WARN Notices (2025)

๐Ÿ“‹

0

Layoff filings

๐Ÿ’ก Ann Arbor has an AI risk score of 60/100 with 24.4% of workers in vulnerable roles โ€” led by Education. Average wages of $71K are above the national metro average. See Michigan overview โ†’

AI Risk Analysis

The Ann Arbor metropolitan area receives an AI displacement risk score of 60 out of 100, placing it at rank #374 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 53,160 workers โ€” 24.4% of the workforce โ€” hold positions in occupations highly susceptible to automation.

The primary driver of risk in Ann Arbor is the concentration of employment in Education, 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 Teaching Assistants, Postsecondary, Office Clerks, General, Fast Food and Counter Workers, and Retail Salespersons โ€” roles where advances in natural language processing, computer vision, and robotic process automation are already reducing demand.

Higher-than-average wages ($71K 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

53,160

workers at risk (24.4%)

0%24.4%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: Education

Tech Sector3.4%

National avg: 2.0%

Service Sector27.5%

National avg: 31.3% โœ… Below average exposure

โš ๏ธ Educational Services โ€” Highest Risk Industry

National risk score: 46/100 ยท 17,895,400 employed nationally

Comparison to National Average

Risk Score

-10

vs 70 national avg

Average Wage

+$12K

vs $60K national avg

Vulnerable Workers

-5.1%

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.