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Singulariki

Ships' Deck Officers and Pilots

ISCO-08 3152 · 3 - Technicians and associate professionals

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Ships' Deck Officers and Pilots (ISCO-08 3152) score an average of 0.29 on a 0–1 exposure scale — more exposed than about 54% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Not exposed band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

0.29
2025 mean exposure (0–1)
54th
percentile across occupations
−0.06
change since 2023
0%
of tasks exposed

How its tasks split across the gradient

Each of the 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

BandTasksShareWhat it means
Not exposed 8 100% No meaningful GenAI capability on the task
Minimal 0 0% GenAI can touch the edges only
Gradient 1 0 0% Lightly exposed — small assistable slices
Gradient 2 0 0% Partly exposed — real assistable share
Gradient 3 0 0% Heavily exposed — most of the task is assistable
Gradient 4 0 0% Almost fully exposed

The most-exposed task

“Transmitting and receiving routine and emergency information with shore stations and other ships.”

Scores 0.54 on the 2025 scale. The task of transmitting and receiving routine and emergency information with shore stations and other ships involves structured communication and potentially urgent decision-making. Generative AI can significantly aid in automating the transmission of standardized and routine communications, such as weather updates or navigation advisories. This aligns with the task of "transmitting an alarm report via a teleinformatics system to the appropriate dispatcher or dispatchers of rescue entities," which has an adjusted score of 0.4, reflecting the capability of AI to handle routine data processing and transmission. However, the task also involves real-time adjustments, situational awareness, and the interpretation of nuanced information, similar to the duties of providing safety information to airship commanders, which have an adjusted score of 0.525. The need for human oversight in interpreting the context and handling unexpected or emergency situations reduces the full automation potential. Given Poland's high-income status and technological infrastructure, there is a potential for a significant portion of the task to be automated, but human supervision remains crucial. Therefore, an adjusted score of 0.425 effectively captures the balance between AI's capability to automate routine tasks and the need for human intervention in complex or high-stakes communications.

Moving fastest, 2023 → 2025

“Ensuring safe loading and unloading of cargo and observance of safety regulations and procedures by crew and passengers;”

Model capability on this task changed by +0.09 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 3152, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

In context

Part of the 3 - Technicians and associate professionals major group. Return to the full gradient to see how the whole group sits.

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Ships' Deck Officers and Pilots sit at the 54th percentile of the global GenAI exposure gradient

  • Across 427 international occupations scored by the ILO, Ships' Deck Officers and Pilots rank in the 54th percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement.ILO / Gmyrek et al. (2025) GenAI exposure gradient
  • About 0% of this occupation's tasks fall into an exposed gradient band.ILO / Gmyrek et al. (2025)
  • Mean task exposure fell by 0.06 between the 2023 and 2025 model-capability snapshots.ILO / Gmyrek et al. (2025), 2023→2025
  • Its most-exposed task: "Transmitting and receiving routine and emergency information with shore stations and other ships.".ILO / Gmyrek et al. (2025)
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Ships' Deck Officers and Pilots sit at the 54th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Ships' Deck Officers and Pilots rank in the 54th percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure fell by 0.06 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Transmitting and receiving routine and emergency information with shore stations and other ships.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Ships' Deck Officers and Pilots". https://singulariki.com/gradient/3152-ships-deck-officers-and-pilots.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

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Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

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