The freight business is enormous and, until recently, remarkably old fashioned. Someone with goods to ship emails or calls a broker asking for a price. The broker checks details like truck type, insurance, and timing, then quotes a number. Multiply that by every shipment moving across roads, rail, sea, and air every day, and you get a mountain of repetitive back and forth that has always required people sitting at a desk.
That mountain is now being handled by software. C.H. Robinson, the largest freight broker in North America, built its own AI system that reads incoming quote request emails, pulls out the shipping details, checks pricing, and sends a reply, often in well under a minute. The company has said its system now answers thousands of these price quotes a day.
Here is the part worth paying attention to. C.H. Robinson calls its overall strategy "Lean AI," and the company's own workforce numbers show what that means in practice: total headcount has fallen by close to a third since 2022. This did not happen through one dramatic layoff announcement. It happened gradually, as buyouts and attrition took the place of hiring, while the AI absorbed more of the quoting and follow up work that used to require a person.
C.H. Robinson is not an outlier. A major logistics software company that builds tools used across the shipping industry recently said it would cut roughly a third of its workforce over two years while rebuilding its products around AI. A freight booking platform separately announced plans to trim up to 15 percent of its staff for the same reason. This is happening across the industry at the same time, which suggests it is not one company's cost cutting story but a shift in how much staff this kind of work now requires.
Meanwhile, a group of well funded startups is selling this same capability to brokers and trucking companies that do not want to build it in house. One of them recently raised 85 million dollars to expand its AI system, which reads incoming emails, generates quotes, runs background checks on new business partners, and can even place calls to truck drivers in different languages. A smaller competitor focused on connecting truckers with brokers raised 17 million dollars and says one client's staff member went from booking about 150 loads a month to more than 300 once the AI took over routine communication.
The timing is not an accident. Trucking has been stuck in a rough stretch, with too many small carriers competing for freight and prices under pressure since the pandemic-era boom in new trucking companies faded. When margins are thin, cutting the cost of every transaction matters more, and answering a price request in seconds instead of hours can be the difference between winning or losing a shipment.
There is also a stranger detail buried in this trend: brokers' AI systems and carriers' AI systems are increasingly negotiating directly with each other, with no person reading the exchange in real time. Executives in the field say these AI to AI conversations are becoming more common every month.
For any business that runs on quote requests, order confirmations, and status update calls, whether that is logistics, insurance, wholesale distribution, or repair services, this is a preview of where routine coordination work is headed. The companies moving first are not framing this as a distant experiment. They are already publishing headcount numbers that show the change has happened.