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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.
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%).
Med
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
Customs Brokers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Customs brokerage is "Mostly Resilient" because while AI is taking over the repetitive paperwork — like pulling data from invoices, suggesting tariff codes, and flagging errors — the parts that actually matter most legally still require a real, licensed human. Brokers carry personal legal responsibility for their filings, sign documents under power of attorney, and post bonds, and no AI can take on that kind of accountability.
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 brokerage is "Mostly Resilient" because while AI is taking over the repetitive paperwork — like pulling data from invoices, suggesting tariff codes, and flagging errors — the parts that actually matter most legally still require a real, licensed human. Brokers carry personal legal responsibility for their filings, sign documents under power of attorney, and post bonds, and no AI can take on that kind of accountability.
Read full analysisAnalysis of Current AI Resilience
Customs Brokers
Updated Quarterly • Last Update: 5/14/2026

Customs brokerage is one of the most paperwork-heavy jobs in global trade, and that's exactly why AI tools are moving in fast — but mostly as helpers, not replacements. The World Customs Organization's Smart Customs Project report [1] explains that AI and machine learning are being adopted across customs business processes, with administrations focused on data management, risk scoring, and workforce upskilling rather than full replacement. On the brokerage side, a 2026 industry analysis from DCN [2] notes that AI can already automate data extraction from invoices and packing lists, flag missing information before lodgement, suggest tariff classifications based on historical rulings, and run predictive risk checks.
New startups like Amari AI are pushing this further: TechBuzz reported in February 2026 [3] that agentic AI systems can now parse Federal Register updates, reclassify products when tariff codes shift, and even draft protest filings — directly touching the "appeal duty charges" task. But signing documents under power of attorney, posting bonds, and accepting personal legal liability stay firmly with human brokers, because Australian law (and similar U.S. rules) keeps statutory responsibility with the licensed broker [2].

Adoption is being pushed hard by tariff chaos and a shrinking workforce. The Journal of Commerce reported in July 2025 [4] that automation pressure and constant tariff changes are forcing brokers to modernize. At the same time, DCN notes that nearly half of Australia's licensed brokers are 50+ while under 11% are below 40 [2], creating a labor gap AI can help fill.
NCBFAA's October 2025 webinar "Future Proofing Freight: AI and the Human Element" [5] shows the U.S. trade association is actively training members to integrate AI. Slowing adoption: legal liability, data privacy worries, and the risk of "automation complacency." BCG's April 2026 research [6] found 50% to 55% of U.S. jobs will be reshaped — not replaced — by AI over the next two to three years, which fits customs brokerage perfectly. The honest takeaway: if you're a young person eyeing this career, the routine paperwork will increasingly be handled by AI, but the judgment calls, client relationships, and legal accountability — the parts that actually require a licensed human — are becoming more valuable, not less.

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They help goods move smoothly across borders by handling paperwork, ensuring taxes are paid, and following government rules.
Median Wage
$78,420
Jobs (2024)
418,000
Growth (2024-34)
+3.0%
Annual Openings
33,300
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Sign documents on behalf of clients, using powers of attorney.
Insure cargo against loss, damage, or pilferage.
Post bonds for the products being imported or assist clients in obtaining bonds.
Inform importers and exporters of steps to reduce duties and taxes.
Obtain line releases for frequent shippers of low-risk commodities, high-volume entries, or multiple-container loads.
Suggest best methods of packaging or labeling products.
Pay, or arrange for payment of, taxes and duties on shipments.
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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