_Why a $900B industry running on phone calls and PDFs is finally getting rebuilt — and what the hardest problems actually look like from the inside.
If you want to see what "AI transformation" looks like outside of the SF hype cycle, look at trucking.
The US truckload market moves roughly $900 billion a year of freight, and a huge share of it is coordinated by freight brokers — middlemen who match companies that need to ship things (shippers) with trucking companies that move them (carriers). Brokers now manage roughly 30% of all truckload spend. And until very recently, the entire workflow ran on phone calls, email threads, PDF rate confirmations, and gut feel.
That's changing fast, and the interesting part isn't the "AI will replace truckers" narrative. It's that freight turns out to be a dense cluster of genuinely hard software problems: entity resolution at scale, adversarial fraud detection, real-time telemetry, lead scoring on messy public data, and workflow automation across a dozen legacy systems that were never designed to talk to each other.
Here's a tour of the space, the companies pushing it forward, and the problems that are still wide open.
