Will AI replace Commercial Pilots?
Most of the work in Commercial Pilots still leans on things AI struggles with — research rates its theoretical AI reach at only ~24%, and real-world use lower still.
O*NET-SOC 53-2012
How your 18 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~24%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~24%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 18 tasks, ratedBased on real task-level AI scores — click to collapse
- Consider airport altitudes, outside temperatures, plane weights, and wind speeds and directions to calculate the speed needed to become airborne.
- Write specified information in flight records, such as flight times, altitudes flown, and fuel consumption.
- Obtain and review data such as load weights, fuel supplies, weather conditions, and flight schedules to determine flight plans and identify needed changes.
- File instrument flight plans with air traffic control so that flights can be coordinated with other air traffic.
- Plan flights according to government and company regulations, using aeronautical charts and navigation instruments.
- Choose routes, altitudes, and speeds that will provide the fastest, safest, and smoothest flights.
- Coordinate flight activities with ground crews and air traffic control, and inform crew members of flight and test procedures.
- Use instrumentation to pilot aircraft when visibility is poor.
- Start engines, operate controls, and pilot airplanes to transport passengers, mail, or freight according to flight plans, regulations, and procedures.
- Monitor engine operation, fuel consumption, and functioning of aircraft systems during flights.
- Check aircraft prior to flights to ensure that the engines, controls, instruments, and other systems are functioning properly.
- Contact control towers for takeoff clearances, arrival instructions, and other information, using radio equipment.
- Check baggage or cargo to ensure that it has been loaded correctly.
- Order changes in fuel supplies, loads, routes, or schedules to ensure safety of flights.
- Co-pilot aircraft or perform captain's duties, as required.
- Request changes in altitudes or routes as circumstances dictate.
- Supervise other crew members.
- Fly with other pilots or pilot-license applicants to evaluate their proficiency.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.