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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Not Very Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
29.8%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forTransportation Security Screeners
Transportation Security Screeners are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled as "Not Very Resilient" because many of the tasks, like scanning baggage for threats, are increasingly being done by AI and machines. These technologies can quickly and accurately identify suspicious items, reducing the need for human screeners to constantly monitor X-ray images.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is not very resilient
This career is labeled as "Not Very Resilient" because many of the tasks, like scanning baggage for threats, are increasingly being done by AI and machines. These technologies can quickly and accurately identify suspicious items, reducing the need for human screeners to constantly monitor X-ray images.
Read full analysisAnalysis of Current AI Resilience
TSA Security Screener
Updated Quarterly • Last Update: 2/17/2026
How is AI changing TSA Security Screener jobs?
In airport security today, many screening tools already use computers to help look for threats. For example, modern X-ray machines (and new 3D “CT” scanners) automatically flag suspicious items in bags [1] [2]. These scanners use AI programs trained on thousands of images to recognize shapes like guns, knives, or batteries, then highlight them on the screen.
Studies show that when the computer marks a suspect item (by drawing a box around it), human screeners find forbidden items faster [3]. In one Swiss test, AI-assisted images helped screeners spot things like knives and firearms more quickly. Likewise, TSA reports that new software under development would let machines detect explosives and then “alert screening officers for further action” [4].
In practice, a machine may detect a possible bomb material and light up an alarm or message, and the people on duty then check the bag carefully.
Other parts of the job still need people’s skills. We found no examples of robots chasing a suspicious traveler or calmly talking to police – those tasks are done by human officers. Searching a passenger’s shoes, following a breach, or patrolling an area rely on judgment and quick thinking.
In short, AI is mainly being used to assist with the image-scanning parts of screening (like testing bags), while things that require talking, decision-making or running after someone remain human jobs.
Sources
How fast is AI adoption growing for TSA Security Screener?
Airports are adopting AI tools where it clearly helps, but carefully and gradually. For instance, TSA spent over $1.3 billion on new 3D CT scanners that create 3-D baggage images and run threat-detection software [2]. These machines speed up lines and improve accuracy, but they are expensive and thoroughly tested.
TSA leaders say new AI “is still in development” and will be used to help officers, not replace them [4]. In fact, U.S. policy (including a 2023 executive order on AI) directs agencies to pilot such tools under strict safety guidelines [5] [4].
Economic and social factors also play a role. Screeners typically earn around $23 per hour [6] and recent pay raises have made it easier to hire people, so there’s less pressure to cut jobs quickly. At the same time, unions and travelers expect humans to be on watch.
For example, TSA is testing facial-recognition identity checks at many airports, but it remains optional after privacy concerns [4]. Overall, AI is being used to reduce tedious work (like staring at thousands of X-ray images) and catch hidden threats, which is good for everyone. The technology can handle repetitive scanning and speed up processing, while human screeners still use their judgment, training and communication skills for the parts AI can’t do.
Sources
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More Career Info
Career: Transportation Security Screeners
They check passengers and luggage at airports to ensure everyone is safe by looking for prohibited items and following security procedures.
Parent Careers
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Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Patrol work areas to detect any suspicious items.
2
Record information about any baggage that sets off alarms in monitoring equipment.
3
Send checked baggage through automated screening machines, and set bags aside for searching or rescreening as indicated by equipment.
4
Follow those who breach security until police or other security personnel arrive to apprehend them.
5
Confiscate dangerous items and hazardous materials found in opened bags and turn them over to airlines for disposal.
6
Contact police directly in cases of urgent security issues, using phones or two-way radios.
7
Contact leads or supervisors to discuss objects of concern that are not on prohibited object lists.
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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