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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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Last Update: 5/19/2026
Your role’s AI Resilience Score is
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.
Med
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%).
High
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%).
High
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
Customs and Border Protection Officers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Customs and Border Protection officers are holding up well against AI because the most important parts of the job — making legal judgment calls, interviewing travelers, testifying in court, and deciding who gets in — still require a real human being. AI tools like facial recognition, X-ray scanners, and interview assistants are being added to help officers work faster and smarter, not to take their place.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
Customs and Border Protection officers are holding up well against AI because the most important parts of the job — making legal judgment calls, interviewing travelers, testifying in court, and deciding who gets in — still require a real human being. AI tools like facial recognition, X-ray scanners, and interview assistants are being added to help officers work faster and smarter, not to take their place.
Read full analysisAnalysis of Current AI Resilience
CBP Officers
Updated Quarterly • Last Update: 5/14/2026

If you're thinking about a career as a Customs and Border Protection (CBP) officer, here's the good news: AI is showing up as a teammate, not a replacement. The Department of Homeland Security's own AI use-case inventory shows tools like Speech Assist, an AI-enabled interview assistant for CBP officers during secondary screening interviews that performs automatic speech recognition, machine translation, and named entity recognition to generate report-ready transcripts — basically taking notes so officers can focus on talking with travelers. CBP has also rolled out a generative AI chatbot called "chatCBP" [1] designed for summarization and multi-file analysis, which the agency says is built to assist workers, not replace them.
On the cargo side, DHS reports that AI models automatically identify objects in streaming X-ray images and help validate identities in the CBP One app [2]. Facial recognition is expanding too: Nextgov reported in late 2025 that CBP is broadening biometric matching for non-citizens at land borders [3], and in February 2026 the agency signed a Clearview AI contract for tactical targeting and counter-network analysis using billions of publicly available images [1]. Globally, the World Customs Organization's Smart Customs Project identified AI/ML, blockchain and cloud computing as the top three technologies of interest to member customs administrations [4].
Court testimony, sample collection, and judgment calls about admissibility still rest on humans.

Adoption is moving fast in augmentation but slowly in replacement, and there are clear reasons why. First, demand is overwhelming staff: a Congressional Budget Office review found only 2.5% of CBP officer applicants successfully complete hiring [5], which pushes the agency toward AI to plug gaps. Second, leadership is openly cautious — CBP Commissioner nominee Rodney Scott told senators that AI "just detects anomalies" and that it takes an actual officer or agent to determine if something is actually illegal [1].
Third, industry partners see AI as a copilot: the NCBFAA's late-2025 webinar "Future Proofing Freight" framed AI alongside "the Human Element" [6] for customs brokers and forwarders. Finally, legal and ethical pushback is real — lawmakers have introduced bills to ban ICE and CBP use of facial recognition technology [7], meaning officer judgment, courtroom testimony, and people-skills will stay essential for years to come.

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They protect borders by checking people and goods entering the country to ensure safety and prevent illegal activities.
Median Wage
$76,290
Jobs (2024)
698,800
Growth (2024-34)
+3.1%
Annual Openings
53,700
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
Collect samples of merchandise for examination, appraisal, or testing.
Testify regarding decisions at immigration appeals or in federal court.
Examine immigration applications, visas, and passports and interview persons to determine eligibility for admission, residence, and travel in the U.S.
Locate and seize contraband, undeclared merchandise, and vehicles, aircraft, or boats that contain such merchandise.
Inspect cargo, baggage, and personal articles entering or leaving U.S. for compliance with revenue laws and U.S. customs regulations.
Investigate applications for duty refunds and petition for remission or mitigation of penalties when warranted.
Interpret and explain laws and regulations to travelers, prospective immigrants, shippers, and manufacturers.
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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