C.H. I once watched a 'cutting-edge' TMS system calculate a 500-mile trip at $0.70 a mile, claiming it was a 'market rate,' and that's exactly the kind of AI nonsense fueling these job cuts. Robinson announced significant layoffs last year, cutting around 1,200 jobs from their North American offices. This month, the chatter on r/FreightBrokers on June 24, 2026, boiled over. Brokers are asking: Is AI really helping, or is it just a slick excuse to thin the herd?
AI for Efficiency? Or Just Cutting Heads?
Corporations tell you AI will make your job easier. They say it will optimize loads, predict rates, and automate tedious tasks. The truth is, AI is a tool, not a replacement for a broker with 20 years on the phones. That Reddit thread confirms what many of us already see: fewer people doing more work, often for less money.
They invested millions in these systems. Now they need to show returns on that investment. The easiest path? Cut headcount. Don't fall for the "operational efficiency" line; sometimes that just means fewer paychecks going out.
The Reality of AI on the Dispatch Floor
I've seen these AI-powered tools in action. They're good at crunching numbers. They can tell you the average rate on a lane was $2.80 per mile last Tuesday. They fail when a blizzard shuts down I-80 in Wyoming, or when a consignee’s dock has a broken door.
AI doesn't build relationships. It doesn't talk a frustrated driver off the ledge at 2 AM. It sure as hell doesn't negotiate an extra $150 in lumpers when the pallet count jumps unexpectedly. Real freight moves on trust and grit, not algorithms.
Broker Jobs: Will AI Replace Us?
The fear is real. When a large brokerage like C.H. Robinson lets go of hundreds, everyone gets nervous. AI is replacing some data entry and basic load matching. But it cannot replace the human element of brokering.
A machine won't find a flatbed with a Moffett on a Friday afternoon when everyone else is already booked solid. It won't call ten carriers to find one willing to deadhead 150 miles for a critical same-day pickup. That’s why your job still exists; for now.
What Shippers Really Want (It Ain't AI)
Shippers don’t care if you used a supercomputer to book their load. They want their freight delivered on time and within budget. They want a human they can call at 5 PM when the delivery is late, not an automated message or a chatbot.
I’ve had shippers explicitly tell me they trust my judgment over any "AI-driven market insight." They appreciate transparency and direct answers, not data models. Expect $65 to $90 per hour for detention on most dry van carriers right now; that’s a number you give, not something a bot argues.
The Cheapest Quote is Always the Most Dangerous
This isn't rocket science. The cheapest quote is always the most dangerous. I have seen it cost brokers their entire margin on a lane they thought they owned. AI might surface a ridiculously low price from a new carrier.
It won't tell you that carrier has a 40% fall-off rate. It won't flag the one-truck operation that ghosts you after pickup. Experience tells you when a rate is too good to be true, and that’s a lesson AI hasn't learned yet.
Operational Efficiency Through Competence, Not Code
The talk about AI improving "operational efficiency" is often just jargon. True efficiency comes from knowing your carriers, understanding your lanes, and having solid relationships. It comes from knowing exactly which two flatbeds can handle that odd-sized piece of equipment.
The Reddit discussions show brokers are worried about their livelihoods. Focus on what AI cannot do: build rapport, solve complex problems on the fly, and truly understand the human element of supply chain. That's your job security right there.
Don't bet your business on a computer program that can't pick up the phone when things go sideways.