
Introduction of Truck Relaying in North America
The Rise of Truck Relaying in North America and Its Impacts on FTL Lead Times

Driver turnover at large long-haul carriers averages 94% a year, costing the industry an estimated $18.7 billion. The paper shows these exits are operational rather than a pay problem, and predictable from data carriers already collect.
The people closest to the problem, quoted throughout the paper.
“They leave when the job doesn't match what they were told, when no one checks in, when the money isn't there, and when they feel like just another seat to fill.”
“If you think there's a shortage, explain to me why there's 400,000-plus new CDLs issued in this country every single year. We have a driver turnover problem, with over 90% turnover in the long-haul trucking industry.”
“Retention is about more than just pay rates. It is about ensuring drivers can actually earn the money they were promised.”
“There's a very good chance in 2025 and 2026 that we'll get the economy rolling again. Freight will start to pick up, at which point the big carriers, as they have in the past, struggle to recruit and retain drivers.”
Every figure is drawn from public sources, including ATRI, the ATA, PDA / Conversion Interactive Agency, UGPTI, TMW Systems via FleetOwner, the National Academies, and the BLS, and each is cited in full in the paper. The analysis can be checked independently.
The headline $18.7 billion estimate scales the problem against broad BLS employment. Narrowed to the roughly 2.2 million heavy and tractor-trailer drivers the BLS tracks, the annual cost is closer to $13.6 billion, where a 10-point improvement in retention would save about $1.4 billion. Both are order-of-magnitude estimates rather than forecasts.
Industry survey data says otherwise. In the PDA Fall 2024 Driver Survey, 81.9% of job-seeking drivers cited predictable pay as a reason for switching, but critically, the 2024 PDA Snapshot found that 60% of drivers who complained about compensation specifically cited lack of miles (not the per-mile rate) as the root cause. Drivers aren't leaving for higher per-mile pay; they're leaving because their carrier's operations aren't generating consistent mileage. The problem is operational performance, not compensation design, and the paper walks through the survey data behind that conclusion.
It's not a typo. The American Trucking Associations has tracked turnover at large truckload carriers (those earning $30M+ in annual revenue) at an average of 92.7% from 1996 to 2023. ATRI's August 2025 report places long-haul OTR turnover at 94% at large carriers. For every ten drivers a major long-haul carrier employs at the start of the year, nine are typically gone before it ends.
The data exists in every mid-to-large carrier's TMS and ELD systems: miles driven vs. expected, days from home, load acceptance rates, communication patterns. What's missing is the synthesis layer that connects those signals into a continuously-updated retention risk score at the driver and lane level. The industry has been measuring retention with annual fleet-wide rates (a lagging indicator) rather than continuous lane-level analytics. Carriers that move first will have a structural information advantage.
Not necessarily. Asset-light relay orchestration (coordinating handoffs across existing terminals, drop yards, customer sites, and neutral relay points) achieves the same structural retention outcomes (shorter hauls, more frequent home time, higher utilization) without new capital investment. The operational redesign should precede any asset decision. Carriers that first identify which lanes have retention-degrading profiles, then model the relay configuration, often find the required handoff infrastructure already exists in their network. The report works through this objection in detail.
The ATA itself has been explicit on this point: the turnover figure measures churn within the industry, not attrition from it. The majority of drivers who register as 'turnover' are not leaving trucking; they're leaving one carrier for another. An industry framing this as a shortage will try to recruit its way out. An industry framing it as a competitive retention failure will look for the operational conditions that drive exits and address them. The two framings lead to very different interventions.

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