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Aircraft Dispatchers

Transportation & Material Movinghighaugment
BLS 2024-34: +6%
Median Wage: $68,020
Employment: 4K

Overall Exposure

54+14

2025 vs 2023

Theoretical Exposure

74

What AI could do

Observed Exposure

34

What AI actually does

Automation Risk Score

42

Displacement risk

3-Year Outlook (2025 → 2028)

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

Overall Exposure

54→70
+16

2025 → 2028 (estimated)

Theoretical Exposure

74→88
+14

2025 → 2028 (estimated)

Observed Exposure

34→50
+16

2025 → 2028 (estimated)

Automation Risk

42→56
+14

2025 → 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202340602030actual
202447672736actual
202554743442actual
202660794047estimated
202765844552estimated
202870885056estimated

Task Breakdown

Analyze weather data and plan flight routes
68%β 1
Calculate fuel requirements and weight-balance
82%β 1
Monitor active flights and provide real-time support
55%β 1
Ensure compliance with FAA regulations and NOTAMs
48%β 0.5
Make go/no-go decisions during irregular operations
20%β 0

About This Occupation

If you work as an Aircraft Dispatcher, AI is significantly reshaping your profession. With an automation risk of 42/100 and overall exposure at 54%, this role faces high transformation as AI-powered weather analysis, automated fuel calculation, and route optimization tools augment dispatcher capabilities. The highest-impact area is calculating fuel requirements and weight-balance at 82% automation. This is classified as an 'augment' role. BLS projects +6% growth through 2034. Dispatchers who master AI-assisted decision support systems will remain critical for flight safety, especially during irregular operations where human judgment is essential.

Frequently Asked Questions

With an automation risk score of 42%, Aircraft Dispatchers 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 Aircraft Dispatchers is 42% (2025 data). Overall AI exposure is 54%, with 74% theoretical exposure and 34% observed exposure. The risk trend from 2023 to 2025 is +12 points.

The tasks with the highest automation potential for Aircraft Dispatchers are: Calculate fuel requirements and weight-balance (82%), Analyze weather data and plan flight routes (68%), Monitor active flights and provide real-time support (55%). 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 +6% employment change for Aircraft Dispatchers from 2024 to 2034. Combined with an overall AI exposure of 54%, 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 Aircraft Dispatchers 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.