BETA
Updated: Mar 20
BETA
Updated: Mar 20
Changing fast
Last Update: 3/13/2026
Your role’s AI Resilience Score is
29.2%
Median Score
Changing Fast
Evolving
Stable
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.
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
Transportation Security Screeners
They check passengers and luggage at airports to ensure everyone is safe by looking for prohibited items and following security procedures.
This role is changing fast
The career of Transportation Security Screeners is "Changing fast" because many of the routine tasks, like scanning bags for dangerous items, are now being automated with AI technology. This means computers can quickly spot suspicious objects, helping human screeners work more efficiently.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is changing fast
The career of Transportation Security Screeners is "Changing fast" because many of the routine tasks, like scanning bags for dangerous items, are now being automated with AI technology. This means computers can quickly spot suspicious objects, helping human screeners work more efficiently.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Changing fast19.9%
19.9%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Changing fast28.6%
28.6%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Evolving30.0%
30.0%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Evolving38.1%
38.1%
Low Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
-6.0%
Growth Percentile:
9.2%
Annual Openings:
4,700
Annual Openings Pct:
38.1%
Analysis of Current AI Resilience
TSA Security Screener
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
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
AI in the real world
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
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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
Record information about any baggage that sets off alarms in monitoring equipment.
2
Patrol work areas to detect any suspicious items.
3
Contact police directly in cases of urgent security issues, using phones or two-way radios.
4
Follow those who breach security until police or other security personnel arrive to apprehend them.
5
Decide whether baggage that triggers alarms should be searched or should be allowed to pass through.
6
Provide directions and respond to passenger inquiries.
7
Close entry areas following security breaches or reopen areas after receiving notification that the airport is secure.
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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