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Protective Services · Updated Aug 2026

Customs and Border Protection Officers

Investigate and inspect persons, common carriers, goods, and merchandise, arriving in or departing from the United States or between states to detect violations of immigration and customs laws and regulations.

JVS 2.0.0-phase4b
AI Exposure
47/100
Moderate

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
45/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence82/100
Task coverage86%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Record and report job-related activities, findings, transactions, violations, discrepancies, and decisions.High
68
Examine immigration applications, visas, and passports and interview persons to determine eligibility for admission, residence, and travel in the U.S.High
39
Detain persons found to be in violation of customs or immigration laws and arrange for legal action, such as deportation.High
69
Locate and seize contraband, undeclared merchandise, and vehicles, aircraft, or boats that contain such merchandise.High
71
Inspect cargo, baggage, and personal articles entering or leaving U.S. for compliance with revenue laws and U.S. customs regulations.High
36
Interpret and explain laws and regulations to travelers, prospective immigrants, shippers, and manufacturers.High
39
Collect samples of merchandise for examination, appraisal, or testing.Medium
37
Institute civil and criminal prosecutions and cooperate with other law enforcement agencies in the investigation and prosecution of those in violation of immigration or customs laws.High
20
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Locate and seize contraband, undeclared merchandise, and vehicles, aircraft, or boats that contain such merchandise.71
  2. Detain persons found to be in violation of customs or immigration laws and arrange for legal action, such as deportation.69
  3. Record and report job-related activities, findings, transactions, violations, discrepancies, and decisions.68
  4. Examine immigration applications, visas, and passports and interview persons to determine eligibility for admission, residence, and travel in the U.S.39
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Institute civil and criminal prosecutions and cooperate with other law enforcement agencies in the investigation and prosecution of those in violation of immigration or customs laws.01
  2. Collect samples of merchandise for examination, appraisal, or testing.02
  3. Inspect cargo, baggage, and personal articles entering or leaving U.S. for compliance with revenue laws and U.S. customs regulations.03
  4. Interpret and explain laws and regulations to travelers, prospective immigrants, shippers, and manufacturers.04
  5. Record and report job-related activities, findings, transactions, violations, discrepancies, and decisions.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency80
Physical dependency58
Adoption pressure75
Labour-market resilience74
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence82/100
CalculatedAug 21, 2026
Read methodology →