# Customs Brokers

> Prepare customs documentation and ensure that shipments meet all applicable laws to facilitate the import and export of goods. Determine and track duties and taxes payable and process payments on behalf of client. Sign documents under a power of attorney. Represent clients in meetings with customs officials and apply for duty refunds and tariff reclassifications. Coordinate transportation and storage of imported goods.

- **SOC code:** 13-1041.08
- **Canonical URL:** https://singulariki.com/roles/role-13-1041-08
- **Also known as:** Corporate Licensed Broker, Customs Broker, Air Export Agent, Air Export Operations Agent, Air Import Agent, Boarding Agent, Cargo Agent, Cargo Broker
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Prepare and process import and export documentation according to customs regulations, laws, or procedures.
- Clear goods through customs and to their destinations for clients.
- Pay, or arrange for payment of, taxes and duties on shipments.
- Calculate duty and tariff payments owed on shipments.
- Request or compile necessary import documentation, such as customs invoices, certificates of origin, and cargo-control documents.
- Classify goods according to tariff coding system.
- Sign documents on behalf of clients, using powers of attorney.
- Stay abreast of changes in import or export laws or regulations by reading current literature, attending meetings or conferences, or conferring with colleagues.
- Advise customers on import and export restrictions, tariff systems, insurance requirements, quotas, or other customs-related matters.
- Post bonds for the products being imported or assist clients in obtaining bonds.
- Quote duty and tax rates on goods to be imported, based on federal tariffs and excise taxes.
- Arrange for transportation, warehousing, or product distribution of imported or exported products.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Transportation _(knowledge)_
- English Language _(knowledge)_
- Administrative _(knowledge)_
- Active Listening _(essential_skill)_
- Law and Government _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Written Comprehension _(ability)_
- Deductive Reasoning _(ability)_
- Writing _(essential_skill)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Active Listening _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Writing _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Microsoft Word _(hot technology, in demand)_
- Microsoft Access _(hot technology)_
- SAP software _(hot technology)_
- Automated commercial environment software ACE
- Automated system for customs data ASYCUDA
- Customs records databases
- Electronic data interchange EDI software
- Materials requirement planning MRP software

## AI exposure & outlook

- **AI task-overlap index:** 76th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 64th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 67th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 26th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.0% growth (About average); 33.3k annual openings; 418k → 430.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $78,420; 397,770 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-13-1041-08_