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Administrative Analysts

Office & Administrative Supporthighaugment
BLS 2024-34: +5%
Median Wage: $62,980
Employment: 188K

Overall Exposure

65

2025 vs 2023

Theoretical Exposure

82

What AI could do

Observed Exposure

48

What AI actually does

Automation Risk Score

57

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

65โ†’78
+13

2025 โ†’ 2028 (estimated)

Theoretical Exposure

82โ†’90
+8

2025 โ†’ 2028 (estimated)

Observed Exposure

48โ†’66
+18

2025 โ†’ 2028 (estimated)

Automation Risk

57โ†’70
+13

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202460784252actual
202565824857estimated
202670855562estimated
202774886066estimated
202878906670estimated

Task Breakdown

Collect and analyze data on administrative workflows
72%ฮฒ 1
Draft reports with efficiency recommendations
68%ฮฒ 1
Present findings and coordinate implementation of changes
35%ฮฒ 0

About This Occupation

If you work as an Administrative Analyst, AI is augmenting your role significantly. With an automation risk of 57/100 and overall exposure at 65%, workflow data analysis (72% automation) is the most impacted task. BLS projects +5% growth through 2034.

Frequently Asked Questions

With an automation risk score of 57%, Administrative Analysts faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.

The AI automation risk score for Administrative Analysts is 57% (2025 data). Overall AI exposure is 65%, with 82% theoretical exposure and 48% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Administrative Analysts are: Collect and analyze data on administrative workflows (72%), Draft reports with efficiency recommendations (68%), Present findings and coordinate implementation of changes (35%). 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 Administrative Analysts from 2024 to 2034. Combined with an overall AI exposure of 65%, 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 Administrative Analysts 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.