Will Aircraft Cargo Handling Supervisors be replaced by AI & Robots?

Key findings

In the realm of aircraft cargo handling supervision, the impact of Generative artificial intelligence (GenAI) is expected to be minimal.

Blue-collar workers in this field may find themselves shielded from major disruptions due to the unique nature of their work.

The demand for premium goods and services could even lead to an increase in the need for these workers, potentially boosting their income share.

While some skills in this job may be automated in the future, such as information ordering and digital data processing, the core tasks that require human skills like critical thinking, judgment, and social perceptiveness are likely to remain untouched.

As automation continues to advance, the role of aircraft cargo handling supervisors may see enhancements through technology, but their fundamental responsibilities are expected to endure.

How could AI or automation replace or complement job activities?

AI, automation, or LLMs like Chatgpt could potentially enhance certain processes in Aircraft Cargo Handling Supervision.

While they may assist in calculating load weights or optimizing cargo distribution, they cannot fully replace the human aspect of directing ground crews, training employees, or monitoring cargo in flight.

For instance, these technologies could streamline load calculations, but the supervision and decision-making skills of a human supervisor are essential in ensuring safe and efficient cargo handling operations.

Job description

Manages and directs the tasks of ground crew in handling aircraft cargo and baggage. Determines cargo quantity and arrangement, and calculates aircraft balance. May fly with the aircraft crew to oversee cargo during the flight, assist passengers with safety procedures, and handle emergencies. This role may also involve being a loadmaster.