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Executive Assistants

Office & Administrative Supportvery highmixed
BLS 2024-34: -20%
Median Wage: $72,350
Employment: 543K

Overall Exposure

71

2025 vs 2023

Theoretical Exposure

90

What AI could do

Observed Exposure

50

What AI actually does

Automation Risk Score

61

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

71โ†’83
+12

2025 โ†’ 2028 (estimated)

Theoretical Exposure

90โ†’95
+5

2025 โ†’ 2028 (estimated)

Observed Exposure

50โ†’68
+18

2025 โ†’ 2028 (estimated)

Automation Risk

61โ†’75
+14

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202465884255actual
202571905061estimated
202676925766estimated
202780946371estimated
202883956875estimated

Task Breakdown

Manage executive calendars and scheduling
72%ฮฒ 1
Draft correspondence and communications
80%ฮฒ 1
Prepare presentations and reports
78%ฮฒ 1

About This Occupation

If you work as an Executive Assistant, AI is significantly reshaping your role. With an automation risk of 61/100 and overall exposure at 71%, this role faces very high transformation. BLS projects -20% decline through 2034.

Frequently Asked Questions

With an automation risk score of 61%, Executive Assistants faces a significant risk of AI-driven displacement. Many core tasks in this role can be automated by current AI systems. However, full replacement is unlikely in the near term -- AI will more likely transform the role rather than eliminate it entirely.

The AI automation risk score for Executive Assistants is 61% (2025 data). Overall AI exposure is 71%, with 90% theoretical exposure and 50% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Executive Assistants are: Draft correspondence and communications (80%), Prepare presentations and reports (78%), Manage executive calendars and scheduling (72%). 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 -20% employment change for Executive Assistants from 2024 to 2034. Combined with an overall AI exposure of 71%, 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 Executive Assistants 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.