Key findings
Generative artificial intelligence (GenAI) is set to impact but not transform the work of Transportation Security Screeners.
While blue-collar jobs like this are unlikely to be automated by GenAI, the future may see some tasks being automated.
However, the unique nature of the GenAI automation wave suggests that blue-collar workers may be shielded from major disruption.
The skills required for this job, such as Reading Comprehension, Critical Thinking, and Judgment, are less likely to be automated compared to physical tasks.
As the demand for premium goods and services grows, the need for blue-collar workers may even increase, leading to a rise in their income share.
While some skills may be automated in the future, the core skills of Transportation Security Screeners are likely to remain essential in ensuring security and safety.
How could AI or automation replace or complement job activities?
Artificial intelligence, automation, or LLMs like Chatgpt could be utilized to assist Transportation Security Screeners in tasks such as screening baggage through automated machines, analyzing X-ray images for potential threats, and notifying personnel of security breaches.
However, the human judgment and decision-making skills required for tasks like determining whether to search suspicious baggage or conducting pat-down searches may not be easily replaced by technology.
For example, AI could help streamline the process of screening baggage through automated machines, but human screeners would still be needed to make critical decisions based on the information provided by the technology.
Job description
Screen passengers, baggage, or cargo to make sure they follow TSA rules. Use x-ray machines and hand wands at security checkpoints.
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