Aircraft Pilots and Related Associate Professionals

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 7 task statements that define Aircraft Pilots and Related Associate Professionals (ISCO-08 3153) score an average of 0.27 on a 0–1 exposure scale — more exposed than about 50% 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.

How its tasks split across the gradient

Each of the 7 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Preparing and submitting flight plan or examining standard flight plan;”

Scores 0.35 on the 2025 scale. The task of preparing and submitting flight plans involves processing structured data, following regulatory guidelines, and ensuring accuracy and safety, which Generative AI can assist with significantly. In the provided context, tasks involving documentation and structured data processing, such as "Current management of operational documents required by aviation instructions" and "Familiarizing oneself with transportation documents," received scores around 0.31 to 0.35, reflecting AI's capability to automate routine document-based tasks. The task shares some similarities with managing transportation documents, where AI can support by analyzing flight data, suggesting optimal routes, and drafting initial flight plan documents. Still, human oversight is crucial for interpreting complex regulations, ensuring compliance, and adapting to unforeseen events, which aligns with tasks requiring human judgment like "Certifying the performance of periodic, current, ad hoc service." Considering Poland's strong technological infrastructure, AI can be effectively integrated into the workflow, providing substantial support but not fully automating the task, hence given a score of 0.35 to reflect the moderate automation potential.

Moving fastest, 2023 → 2025

“Signing necessary certificates and maintaining official records of flight;”

Model capability on this task changed by +0.23 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 3153, 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.

• Airline Pilots, Copilots, and Flight Engineers
• Commercial Pilots
• Airfield Operations Specialists

In context

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

Aircraft Pilots and Related Associate Professionals sit at the 50th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Aircraft Pilots and Related Associate Professionals rank in the 50th 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 rose by 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Preparing and submitting flight plan or examining standard flight plan;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Aircraft Pilots and Related Associate Professionals". https://singulariki.com/gradient/3153-aircraft-pilots-and-related-associate-professionals.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.