Truck fleet safety has caused a stir in the headlines recently.
When the U.S. Supreme Court ruled that freight brokers could be held liable for hiring unsafe motor carriers, the industry braced for the impact of future lawsuits tied to crashes involving third-party trucking companies. As court cases like this demonstrate, the cost of inadequate safety programs, and the follow-on impact of increased crashes and driver incidents, can significantly erode profits. From higher insurance premiums, Federal Motor Carrier Safety Administration (FMCSA) penalties, and nuclear verdicts to reduced revenue caused by the combination of poor safety records, damaged brand reputation and fewer bookings, the financial fallout is hard to ignore.
But for fleets lacking an effective driver safety program, the real cost is human. Fleets that don’t prioritize driver safety on par with delivery performance are doing their drivers a serious disservice, exposing them (and the public) to increased risk. By neglecting to build a strong safety culture from the top down and ground up, across all touchpoints — drivers, dispatch, legal, fleet leadership, human resources, operations — collision risk increases, delivery performance declines, and driver job satisfaction falls. And inevitably, unhappy drivers lead to higher turnover rates which, in turn, translate to an increased risk of crashes.
As accident costs escalate, insurance scrutiny intensifies and discontented drivers seek out greener pastures, fleets are learning the hard way that a reactive approach to driver safety is no longer sufficient in 2026. Driver safety programs relying on the standard safety baseline of only using cameras and video telematics to identify driver risk are falling short in their ability to mitigate crashes and effect meaningful changes in driver behavior.
While reactive training isn’t a negative per se, it’s based on isolated safety events caught on camera or identified through telematics data (such as harsh braking, speeding and rapid acceleration) and has the potential to become white noise to drivers who are called out repeatedly for singular incidents. At worst, a reactive approach to coaching might feel like nagging, frustrating drivers and prompting driver turnover.
To build a best-in-class driver safety program, fleets need to move beyond simple scorecards, arbitrary weighting, decision trees and reactive training in favor of creating a safety culture focused on early risk identification and proactive driver development. With an in-depth understanding of past driver behaviors, fleets have the capacity to predict crash potential and protect their drivers.
Adopting a proactive and predictive approach to identifying behavioral patterns and understanding driver risk is rooted in insights derived from vast amounts of driving and safety-related data. The good news is that modern fleets generate an abundance of data from various sources, including cameras, telematics, electronic logging devices (ELDs), customer feedback, FMCSA, training, dispatch, learning management systems (LMS), HR systems, and accidents and claims.
In fact, fleets are drowning in data, data that holds immense potential to improve driver safety. Much of that, however, remains siloed and underutilized. How can fleets extract meaningful insights from this data ocean? The solution lies in artificial intelligence, machine learning and predictive analytics.
A proactive driver safety program underpinned by AI-enabled technology enables fleets to contextualize driver behavior and reveal hidden patterns in the data that signal elevated risk. By analyzing billions of miles of driving data and hundreds of thousands of historical crashes across the industry — and integrating data from multiple sources, not just dashcams and telematics — safety programs driven by predictive analytics can highlight drivers likely to exhibit the same patterns of problematic driving behavior in the future.
AI driver safety management models can help fleets identify which drivers are trending towards a costly accident, even among those who may appear compliant on the surface. For example, using historical accident data to identify the leading indicators that precede crashes, AI-driven predictive fleet safety technology can recognize that a driver’s consistent hard braking, combined with frequent late deliveries, may predict a higher likelihood of a crash.
Transport leaders can use these safety insights to proactively manage risk. By focusing on the top 10% of drivers who are most likely to get into a crash, they can intervene with meaningful engagement and coaching before a crash occurs to reduce risky behaviors, strengthen driver relationships and boost retention.
Fleet safety has become a competitive advantage in 2026, influencing cost structure, driver retention, reputation and resilience. To gain a strategic edge, leading fleets are moving beyond meeting minimum safety requirements and building proactive driver safety programs that pair ML and predictive analytics with consistent human coaching, accountability, and leadership. Benefits include the following:
Protecting the bottom line. Forward-thinking fleets are leveraging driver safety as a cost advantage, protecting profit margins through lower insurance rates and fewer accident claims and legal payouts. In addition, by decreasing crashes and driver incidents, fleets can reduce repair costs, limit downtime and drive revenue through enhanced brand reputation.
Controlling insurance costs. In response to escalating litigation and sizeable jury awards, insurance premiums continue to rise. Most insurers are no longer satisfied with paper safety programs or lagging indicators; they want evidence that fleets are actively managing risk through technology, policy and behavior change. In fact, insurers are beginning to reward fleets that can show measurable reductions in risky driving behavior through AI-assisted underwriting and predictive safety models. Overall, fleets that can demonstrate a proactive safety culture to insurers are better positioned to secure coverage and negotiate more favorable terms.
Boosting driver retention. Transportation leaders today face mounting pressure to retain skilled drivers, especially given that high turnover undermines safety culture and increases operational risk. In the face of the ongoing driver shortage and frequent job hopping by drivers, companies need to create an environment where drivers feel protected, valued and supported. Leading fleets are reducing driver churn and attracting skilled drivers by fostering a safety-forward company culture, grounded in proactive safety programs that recognize and reward drivers for a commitment to safety protocols.
Preventing nuclear verdicts. Plaintiff attorneys are increasingly evaluating whether a fleet can show a pattern of proactive risk identification, coaching and intervention before an incident occurs. To demonstrate proactive driver safety, best-in-class fleets are strengthening internal alignment between safety, operations and legal teams, ensuring safety data and documentation can withstand scrutiny in court. Notably, predictive models allow fleets to identify elevated risk earlier, prioritize interventions and demonstrate continuous improvement.
Every fleet leader wants to protect their drivers, their business, and the communities they serve. With this objective in mind, best-in-class fleets are setting themselves apart by shifting from a reactive approach to fleet safety to a proactive, predictive driver safety model. By integrating data from multiple sources and applying ML to detect behavior pattern anomalies and hidden risk, fleet management can empower their teams to coach at-risk drivers before preventable accidents happen.
Moving forward, fleets that invest in predictive analytics, driver development and documented preventive practices are better positioned to reduce crashes, support and retain drivers, strengthen their insurance position and protect themselves in litigation — a clear competitive edge in today’s transportation environment of shrinking margins and high driver turnover.
Hayden Cardiff is vice president of safety solutions at Descartes.
