Written by Sudhanshu Heda, this report adapts a three-part lens, how exposed a role is to AI, how much a human has to stay in it, and whether cheaper output grows demand or cuts headcount, then applies it to 32 logistics roles. Each role lands in one of four groups: higher near-term automation risk, likely to reorganize, set to grow with AI, or facing little immediate change. The pricing desk comes out as ground zero, since rate quoting, RFQ processing, and booking sit squarely in the high-risk group, work Sidecar already runs in production.

What shields most of the floor is physical necessity, because cargo still has to be moved, inspected, and delivered by people and the machines they operate. And the customer-facing side of the business comes out ahead: as AI collapses the cost of operational execution, forwarders who quote faster and serve better win more volume, which grows demand for relationship-led sales and account management.

You can download the full report at the top of this page.