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Microbiologists

Life, Physical & Social Scienceslowaugment
BLS 2024-34: +4%
Median Wage: $85,200
Employment: 22K

Overall Exposure

28+8

2025 vs 2023

Theoretical Exposure

48

What AI could do

Observed Exposure

14

What AI actually does

Automation Risk Score

14

Displacement risk

3-Year Outlook (2025 → 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

28→40
+12

2025 → 2028 (estimated)

Theoretical Exposure

48→58
+10

2025 → 2028 (estimated)

Observed Exposure

14→26
+12

2025 → 2028 (estimated)

Automation Risk

14→20
+6

2025 → 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
20232040610actual
202424441012actual
202528481414actual
202632521816estimated
202736552218estimated
202840582620estimated

Task Breakdown

Analyze microbial samples
25%β 0.5

About This Occupation

If you work as a Microbiologists, AI is reshaping your profession. With an automation risk of 14/100 and overall exposure at 28%, this role faces low transformation. The highest-impact area is analyze microbial samples at 25% automation. This is classified as an 'augment' role. BLS projects +4% growth through 2034. Professionals who embrace AI tools will see their capabilities significantly amplified.

Frequently Asked Questions

With an automation risk score of 14%, Microbiologists has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

The AI automation risk score for Microbiologists is 14% (2025 data). Overall AI exposure is 28%, with 48% theoretical exposure and 14% observed exposure. The risk trend from 2023 to 2025 is +4 points.

The tasks with the highest automation potential for Microbiologists are: Analyze microbial samples (25%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +4% employment change for Microbiologists from 2024 to 2034. Combined with an overall AI exposure of 28%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Microbiologists should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.