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Entomologists

Life, Physical & Social Sciencesmediumaugment
BLS 2024-34: +5%
Median Wage: $78,200
Employment: 12K

Overall Exposure

37

2025 vs 2023

Theoretical Exposure

57

What AI could do

Observed Exposure

17

What AI actually does

Automation Risk Score

14

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

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

Overall Exposure

37โ†’51
+14

2025 โ†’ 2028 (estimated)

Theoretical Exposure

57โ†’69
+12

2025 โ†’ 2028 (estimated)

Observed Exposure

17โ†’34
+17

2025 โ†’ 2028 (estimated)

Automation Risk

14โ†’26
+12

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202432521210actual
202537571714estimated
202642612318estimated
202747652922estimated
202851693426estimated

Task Breakdown

Classify and identify insect species from specimens
55%ฮฒ 1
Conduct field sampling and ecological surveys
10%ฮฒ 0
Analyze population dynamics and distribution data
60%ฮฒ 1

About This Occupation

If you work as an Entomologist, AI is augmenting your species identification and data analysis tasks. With an automation risk of 14/100 and overall exposure at 37%, this role faces medium transformation. Population data analysis sees the highest automation at 60%. BLS projects +5% growth through 2034.

Frequently Asked Questions

With an automation risk score of 14%, Entomologists 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 Entomologists is 14% (2025 data). Overall AI exposure is 37%, with 57% theoretical exposure and 17% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Entomologists are: Analyze population dynamics and distribution data (60%), Classify and identify insect species from specimens (55%), Conduct field sampling and ecological surveys (10%). 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 +5% employment change for Entomologists from 2024 to 2034. Combined with an overall AI exposure of 37%, 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 Entomologists 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.