Will AI replace Cargo and Freight Agents?
Work in Cargo and Freight Agents sits in the in-between: AI reaches some of it (~47% in theory) but is only measured doing about 2% today — part human, part machine.
O*NET-SOC 43-5011
How your 31 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~47%). By late 2025, real-world AI use had reached about 2% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~47%), real-world use (~2%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 31 tasks, ratedBased on real task-level AI scores — click to collapse
- Determine method of shipment and prepare bills of lading, invoices, and other shipping documents.
- Estimate freight or postal rates and record shipment costs and weights.
- Enter shipping information into a computer by hand or by a hand-held scanner that reads bar codes on goods.
- Calculate weight, volume, or cost of goods to be moved.
- Prepare shipping documentation, such as bills of lading, packing lists, dock receipts, or certificates of origin.
- Prepare invoices or cost quotations for freight transportation.
- Keep records of goods dispatched or received.
- Negotiate and arrange transport of goods with shipping or freight companies.
- Track delivery progress of shipments.
- Advise clients on transportation and payment methods.
- Keep records of all goods shipped, received, and stored.
- Notify consignees, passengers, or customers of freight or baggage arrival and arrange for delivery.
- Retrieve stored items and trace lost shipments as necessary.
- Inform clients of factors such as shipping options, timelines, transfers, or regulations affecting shipments.
- Provide shipment status notification to exporters, consignees, or insurers.
- Verify proper packaging and labeling of exported goods.
- Select shipment routes, based on nature of goods shipped, transit times, or security needs.
- Consolidate loads with a common destination to reduce costs to individual shippers.
- Monitor or record locations of goods in transit.
- Reserve necessary space on ships, aircraft, trains, or trucks.
- Negotiate shipping rates with freight carriers.
- Arrange delivery or storage of goods at destinations.
- Verify adherence of documentation to customs, insurance, or regulatory requirements.
- Determine efficient and cost-effective methods of moving goods from one location to another.
- Pay or arrange for payment of freight or insurance fees or other charges.
- Make arrangements with customs brokers to facilitate the passage of goods through customs.
- Recommend or arrange appropriate merchandise packing methods, according to climate, terrain, weight, nature of goods, or costs.
- Maintain current knowledge of relevant legislation, political situations, or other factors that could affect freight shipping.
- Provide detailed port information to importers or exporters.
- Arrange for special transport of sensitive cargoes, such as livestock, food, or medical supplies.
- Obtain or arrange cargo insurance.
- ⚠️ None — every core task is at least partly within AI's reach. The job won't vanish, but almost all of it changes.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.