For nearly four years, American trucking companies weathered one of the worst freight downturns in decades — plunging rates, thinning margins, and small carriers shutting their doors by the thousands. The tides are shifting as the AI buildout has started putting real freight on the roads and real money back into the pockets of American truckers.
The U.S. already has more than 3,000 operating data centers, with over 1,500 more in various stages of development, and every one of them requires enormous quantities of steel, concrete, generators, electrical equipment, and cooling systems, nearly all of it delivered by flatbed and specialized truck carriers. Speaking at the FTR Transportation Conference, FTR Transportation Intelligence Vice President of Trucking Avery Vise noted that spending on data center construction has now outpaced spending on traditional office construction — and that figure doesn’t even count the servers and equipment installed after the buildings go up.
Wall Street Is Already Pricing In the Turnaround
Investors seem to have noticed the shift. The Dow Jones U.S. Trucking Index is up roughly 30% so far this year, a sharp reversal after the index fell about 7% last year and about 4% in 2024. Spot freight rates, or the real-time rates carriers charge for on-demand loads, have climbed roughly 35% this year, while prearranged contract rates are up about 10%. Bloomberg Intelligence logistics analyst Lee Klaskow, who has watched carriers struggle for years, says the industry is finally turning a real profit again — and he expects the recovery to have staying power into 2027, with positive ripple effects reaching other freight modes like rail. The rush of data-center construction is one of the clearest new demand drivers behind this industry-wide rebound.
According to Dean Croke, a principal analyst at DAT Freight & Analytics, approximately 20 gigawatts of data center capacity built since the AI boom began in 2023 has generated nearly 2 million truckloads of freight for American carriers, freight that didn’t exist before the AI infrastructure race began. That comes out to mean that every gigawatt of new U.S. data center capacity requires roughly 100,000 truckloads. Separate estimates from Wood Mackenzie suggest U.S. data center capacity could grow from roughly 24 to 110 gigawatts by 2030, a trajectory that would generate millions more truckloads in the years ahead.
It Doesn’t Stop When Construction Ends
The freight opportunity isn’t limited to the build phase. Once a data center is operational, it still requires constant maintenance of electrical, cooling, and backup-power systems, and when those systems fail, the cost of downtime can run into the hundreds of thousands or millions of dollars. That has created a new category of high-value, time-critical freight. DHL Supply Chain, for example, has expanded its data center logistics network to more than 150 locations across the U.S. and Canada, aiming to deliver critical replacement parts within four hours instead of the traditional 24- to 48-hour window. This is freight demand with staying power.
The ripple effects are even reaching corners of the freight market that have nothing to do with construction. For example, some temperature-sensitive data center components have to be moved in refrigerated trailers rather than traditional flatbeds.
What This Means for Policymakers
None of this is a coincidence. It is the direct, physical consequence of private companies investing hundreds of billions of dollars to build the infrastructure that powers American AI leadership. Infrastructure that runs on American concrete, American steel, and American trucks. Lawmakers weighing moratoriums, punitive siting restrictions, or a patchwork of state-by-state hurdles on data center construction should recognize that they aren’t just slowing down tech companies. They are cutting off a lifeline for an industry that spent years struggling to survive.
As data center capacity continues to expand through the end of the decade, the freight it generates will remain a clear, expanding example of how AI investment translates directly into paychecks for working Americans across the economy.
Image via Unsplash.