Freight rates are up in 2026 even though volumes are down. That is not a normal market signal, and according to Blake Ezell, VP of Customer Success and Support at IntelliTrans, it is not a normal market. In a recent conversation on FreightWaves Today, Ezell described what he calls a capacity tax: shippers paying premium rates not because demand is strong, but because supply is being pulled away from traditional freight lanes entirely. For bulk and break-bulk shippers watching flatbed rates climb while their own volumes stay flat, understanding where that capacity is going, and where it is not going, is the difference between reacting to the market and planning around it.

A market that does not match the headlines

Most freight indices tell a simple story: tight capacity plus strong demand equals high rates. Ezell argues that story does not hold up in 2026. Bulk and break-bulk volumes have softened by roughly 4 percent since 2023, tender rejections are running near 16 percent, and flatbed capacity is running at a load-to-truck ratio Ezell put at 73 to 1. Rates are elevated anyway, in some cases still sitting near 2021 levels.

The reason is not more freight. It is fewer trucks available to move the freight that exists. Ezell pointed to driver attrition as a factor: the industry has lost close to 250,000 drivers since 2020, a mix of retirements and independent carriers exiting the business as fuel surcharge economics have squeezed their margins. Fewer available trucks, even in a softer demand environment, is enough to keep rates high.

Where the capacity is actually going

The piece that makes this market different, in Ezell's view, is where that shrinking pool of flatbed and specialized capacity is being absorbed. It is not going to other commodity shippers. It is going to AI data center construction.

Ezell put a number on it during the conversation: estimates place the current data center freight market at roughly $83 billion, projected to reach $150 billion within five years.

Craig Fuller, Founder and CEO of FreightWaves and SONAR, put the scale in blunter terms during the same conversation: hyperscalers are spending on data center buildout at a pace comparable to $700 billion every two weeks, compared to the U.S. interstate highway system's roughly $20 billion a year over 35 years. He added that a single 500-megawatt data center requires an estimated 30,000 truckloads to build, and that a proposed 10-gigawatt facility in Utah would be twenty times that scale. Most of that freight, he noted, moves by flatbed: concrete, steel, PVC pipe, generators, transmission equipment, copper, and fiber optic cable.

The result is a bidding war that traditional commodity shippers were never built to win. Data center developers are effectively price insensitive. A 10 percent rate increase does not change their build timeline the way it would for a chemicals or building products shipper working on established margins.

Where rail still has room

This is the part of the conversation that matters most for bulk shippers, and it is where Ezell's argument sharpens into something actionable. While flatbed capacity is being pulled toward data centers, rail has not seen the same squeeze. Ezell put rail capacity utilization at around 70 percent, with rail rates up only about 2 percent, a fraction of the pressure showing up in the truck market.

Ezell describes that gap as a modal arbitrage opportunity: the practical savings available to a shipper willing to move freight currently on truck onto rail, typically through transload, where it makes sense by lane. It will not work for every shipment or every lane. But for shippers who have not recently re-evaluated where rail could absorb volume that is currently competing for scarce flatbed capacity, this is a window worth examining now rather than after rates climb further.

What shippers can do about it?

Ezell laid out a practical set of moves for shippers navigating this market:

  1. Stop relying on national rate indices. Discard headline averages entirely and work from lane-specific and regional data that reflects your actual freight, not the broader market.
  2. Revisit existing carrier contracts. Rates negotiated a year ago may be signed on paper but no longer reflect what it takes to secure capacity commitments today. Confirm they still hold.
  3. Build a tiered carrier backup plan. Carriers, especially smaller independent operators, are being more selective about which freight they take. A single-carrier plan is a liability in this environment.
  4. Evaluate modal arbitrage by lane. Look specifically at where rail transload could absorb volume currently sitting on truck, given the utilization and rate gap described above.

Ezell's closing point tied all four together: in a market this tight, the advantage goes to shippers who understand their own data well enough to act on it quickly. As he put it, "it's the race to the underlying data... and it's not the race to the AI algorithm."

The takeaway for bulk shippers

AI data center construction is not a short-term anomaly. Even conservative estimates suggest current data center announcements are years away from full build-out, which means the capacity pressure on flatbed freight is likely to persist rather than ease. For bulk and break-bulk shippers, the practical response is not to wait for the truck market to loosen. Instead, look for where rail can absorb volume today, at a fraction of the rate pressure, and have the lane-level visibility to act quickly.

IntelliTrans has spent more than 30 years managing rail freight for bulk and break-bulk shippers, including 38 percent of North American bulk rail freight managed today. That depth is part of why Ezell's read on this market carries weight: the capacity conversation is not theoretical for IntelliTrans customers; it is the daily work of moving freight through a rail network that still has room when truck does not.

Frequently Asked Questions

What is a capacity tax in freight markets?
A capacity tax describes a situation where shippers pay elevated freight rates not because of strong demand, but because available truck capacity is being pulled away by a competing source of demand, such as AI data center construction, leaving less capacity for traditional freight even as shipment volumes stay flat or decline.
Why are AI data centers affecting flatbed and rail capacity?
Data center construction requires large volumes of specialized and flatbed freight, including concrete, steel, generators, and transmission equipment. Because hyperscalers are largely price-insensitive, they can outbid traditional commodity shippers for the same limited pool of flatbed capacity, pulling trucks away from other industries.
Is rail cheaper than truck right now?
Rail is not necessarily cheaper on every lane. Still, according to Blake Ezell of IntelliTrans, rail capacity utilization is running near 70 percent with rates up only about 2 percent, compared to significantly tighter and more expensive flatbed truck capacity. That gap creates a modal arbitrage opportunity on lanes where transload is feasible.
How can shippers respond to tight freight capacity in 2026?
Shippers can respond by moving away from national rate averages toward lane-specific data, revisiting existing carrier contracts to confirm they still reflect current capacity realities, building backup carrier plans, and evaluating where rail transload could absorb volume currently competing for scarce truck capacity.

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