Marine Traffic Controllers
Overall Exposure
2025 vs 2023
Theoretical Exposure
76What AI could do
Observed Exposure
35What AI actually does
Automation Risk Score
35Displacement risk
3-Year Outlook (2025 โ 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 โ 2028 (estimated)
Theoretical Exposure
2025 โ 2028 (estimated)
Observed Exposure
2025 โ 2028 (estimated)
Automation Risk
2025 โ 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2024 | 50 | 72 | 28 | 30 | actual |
| 2025 | 56 | 76 | 35 | 35 | estimated |
| 2026 | 61 | 80 | 42 | 40 | estimated |
| 2027 | 66 | 83 | 48 | 44 | estimated |
| 2028 | 70 | 86 | 54 | 48 | estimated |
Task Breakdown
About This Occupation
If you work as a Marine Traffic Controller, AI is augmenting your monitoring and pattern detection capabilities. With an automation risk of 35/100 and overall exposure at 56%, this role faces high transformation. Radar and AIS monitoring sees the highest automation at 68%. BLS projects +2% growth through 2034.
Frequently Asked Questions
With an automation risk score of 35%, Marine Traffic Controllers 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 Marine Traffic Controllers is 35% (2025 data). Overall AI exposure is 56%, with 76% theoretical exposure and 35% observed exposure. The risk trend from 2023 to 2025 is 0 points.
The tasks with the highest automation potential for Marine Traffic Controllers are: Monitor vessel positions and traffic patterns on radar and AIS displays (68%), Communicate navigation advisories and clearances to vessel operators (35%), Coordinate emergency response for maritime incidents and distress calls (15%). 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 +2% employment change for Marine Traffic Controllers from 2024 to 2034. Combined with an overall AI exposure of 56%, 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 Marine Traffic Controllers 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.