Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They check passengers and luggage at airports to ensure everyone is safe by looking for prohibited items and following security procedures.
Summary
Transportation Security Screeners are labeled as "Changing fast" because many of their tasks, like scanning luggage for prohibited items, are increasingly being automated by advanced machines and AI technologies. These systems can quickly and accurately identify potential threats, reducing the need for human intervention in routine checks.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
Transportation Security Screeners are labeled as "Changing fast" because many of their tasks, like scanning luggage for prohibited items, are increasingly being automated by advanced machines and AI technologies. These systems can quickly and accurately identify potential threats, reducing the need for human intervention in routine checks.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
TSA Security Screener
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Airports already use automated machines to scan luggage. Checked bags go through advanced X-ray and CT scanners that create 3D images [1]. Right now human screeners look at those images, but AI is being added to help.
For example, TSA plans to train “smart” software to mark shotguns, knives or other banned items on the screen [2]. Israeli SeeTrue technology is used at airports in many countries: its AI links to baggage scanners and alerts officers to prohibited objects, speeding up security without opening every bag [3] [3]. On the passenger side, new ID machines use cameras and facial recognition to match travelers to their boarding passes [1] [1].
This helps verify tickets automatically. New CT lanes also let people leave electronics and liquids in their bags [1], cutting out a lot of manual checks.
Not all tasks are automated, though. For instance, scanners still alert a person if a bag alarms, and then a screener decides to hand-inspect it. Officers must still ask travelers to remove shoes or belts in the metal detector line – that relies on human instruction.
Even with AI help, performing a physical pat-down or deciding to call police in a security emergency remains a human decision. (However, TSA has updated body scanners with AI-based software that cut false alarms and reduced unnecessary pat-downs [4] [4].) In short, machines do the repetitive scanning work while humans keep the final judgment and personal checks.

AI Adoption
Investing in these systems is expensive but offers benefits. TSA has used Congressional funding to deploy hundreds of CT scanners and new ID kiosks [1], because faster technology can handle growing passenger volumes. Early data suggest AI tagging of X-rays can improve throughput and convenience (reportedly about a 15% boost at one airport [3]).
There is clear economic upside: shorter lines save time for travelers and airlines. But cameras and AI software cost millions, and authorities test them carefully. TSA follows strict rules for safe use (it’s cooperating with the White House AI safety guidelines [2]) and even lets passengers opt out of facial-recognition scans [2] [1].
In other words, security agencies move slowly when public trust or privacy is a concern.
Overall, AI is mostly augmenting the screeners’ work. Young travelers might worry AI will replace people, but in practice the technology does the hard, repetitive scanning and highlights problems – making the TSO’s job easier and more focused. Human skills like talking with travelers, noticing suspicious behavior, and making final decisions are still crucial in security screening.
As one TSA expert put it, AI “makes the existing folks’ jobs easier” rather than eliminating them [5]. In the future, screeners may work alongside robots and smarter machines, but the caring, on-the-spot judgment of a person will remain at the center of airport security.

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Median Wage
$63,360
Jobs (2024)
50,100
Growth (2024-34)
-6.0%
Annual Openings
4,700
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Ask passengers to remove shoes and divest themselves of metal objects prior to walking through metal detectors.
Contact police directly in cases of urgent security issues, using phones or two-way radios.
Perform pat-down or hand-held wand searches of passengers who have triggered machine alarms, who are unable to pass through metal detectors, or who have been randomly identified for such searches.
Close entry areas following security breaches or reopen areas after receiving notification that the airport is secure.
Confiscate dangerous items and hazardous materials found in opened bags and turn them over to airlines for disposal.
Contact leads or supervisors to discuss objects of concern that are not on prohibited object lists.
Direct passengers to areas where they can pick up their baggage after screening is complete.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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