AI in the Chain

Context

Autonomous trucks – self‑driving vehicles equipped with LiDAR, radar, cameras and AI‑driven control systems – have graduated from science fiction to reality. Early pilots began hauling freight across the United States a few years ago, and by 2025 the global logistics industry is treating driverless vehicles as a cornerstone of its future. A recent survey of logistics professionals published in August 2025 found that 17 % of respondents believe autonomous trucks, ships and drones will be the most disruptive technology in the next two to three years. The same report noted that although only 7 % of businesses currently use autonomous technologies, 42 % of logistics professionals expect self‑driving trucks to be widely deployed on public roads within 15 years. This signals a high level of anticipation even among companies that haven’t yet adopted the technology.

Several forces are driving interest. Chronic driver shortages – 63 % of companies say they cannot recruit or retain enough drivers – have pushed firms to explore automation to keep freight moving. Digital platforms already route drivers more efficiently and automate paperwork; extending AI into the driver’s seat promises round‑the‑clock operations, faster turnaround times and fewer empty miles. Meanwhile, governments and regulators are slowly beginning to accommodate pilot programs, and major logistics players like FedEx, Amazon, Aurora and Gatik are investing heavily in commercial deployments. This article examines the state of autonomous trucking in 2025, its benefits and challenges, and practical steps supply‑chain professionals can take to prepare for this technological shift.

Why It Matters

Moving freight is a huge economic activity and a major environmental footprint. In the European Union, transportation accounts for over 27 % of greenhouse‑gas emissions. Trucks often travel with empty or partially loaded trailers; the World Economic Forum estimates 15 % of trucking miles are “empty miles”. Route optimisation tools are already shrinking that number by planning backhaul matches, but a human driver must still rest and obey hours‑of‑service rules. According to the WEF, conventional trucks operate only about 29 % of the time, leaving vehicles parked for the majority of their life. Driverless trucks could be on the road up to 78 % of the time, reducing the number of vehicles needed and cutting emissions.

Autonomous trucking also promises dramatic cost savings and service improvements. In 2024 the United States launched its first fully autonomous freight corridor between Texas and California. Early results showed a 25 % reduction in transit times and 30 % reduction in operating costs compared with conventional trucking. Major shippers are already realising tangible gains: FedEx saved more than $200 million annually by deploying Aurora‑powered trucks on long‑haul routes, and Amazon’s use of Rivian‑designed autonomous trucks lowered delivery times by 20 % and cut carbon emissions by 35 %. These figures highlight the economic and environmental benefits that full autonomy can unlock when integrated into a large network.

Immediate Benefits and Ongoing Challenges

Benefits

Improved safety: Autonomous trucks rely on advanced perception stacks. Recent innovations in LiDAR, radar, ultrasonic sensors and AI‑driven data processing have enabled near‑human or better perception of road conditions. At CES 2024, sensor manufacturers demonstrated systems that detect objects over 500 yards away in low light; combined with 360‑degree vision, they eliminate blind spots and react faster than human drivers. This reduces accidents and provides a consistent standard of driving.

Higher asset utilisation: With no need for rest breaks, autonomous trucks can operate almost continuously. Gatik, a leader in autonomous middle‑mile deliveries, has deployed driverless box trucks for Walmart and other retailers across North America. By running vehicles for 78 % of the time, Gatik and other pilots demonstrate how fleets could deliver more freight with fewer trucks.

Fuel and emissions savings: AI route‑optimisation platforms already save fuel by eliminating empty miles. Transmetrics, a Bulgarian start‑up, estimates its tools cut one litre of fuel per 100 km, a meaningful saving when scaled across millions of kilometres. Additionally, AI‑powered container packing software like DHL’s OptiCarton ensures containers are filled optimally, reducing shipment volume by up to 50 % and lowering truckloads and emissions. When combined with autonomous operations, these tools could accelerate decarbonisation.

Labour relief: Driver shortages are acute worldwide, exacerbated by an ageing workforce and lifestyle concerns. Surveys show 63 % of logistics companies report recruitment and retention problems. Autonomous trucks allow the existing driver base to focus on short‑haul and last‑mile routes while AI handles long‑haul driving, easing labour pressure and reducing fatigue‑related accidents.

Challenges

Despite rapid progress, autonomous trucking faces significant hurdles.

Technology readiness and safety: Although sensor suites have advanced, fully autonomous driving still struggles with edge cases like complex weather, construction zones or erratic human drivers. Testing programmes at Waymo Via and TuSimple have been paused or scaled back amid safety concerns and regulatory scrutiny. Cybersecurity is another worry: a major breach in a vehicle‑to‑everything (V2X) communication network in Europe disrupted autonomous fleets in 2024. Ensuring that vehicles are secure and resilient against hacking is paramount.

Legal and regulatory uncertainty: Autonomous trucking rules vary widely across states and countries. The U.S. Federal Motor Carrier Safety Administration proposed draft guidelines to harmonise operations, but adoption faces opposition from some state governments and labour unions. Liability in accidents remains unresolved and has already led to lawsuits. Without clear standards, companies must navigate a patchwork of local regulations.

Supply‑chain limitations: Building autonomous trucks requires high‑performance sensors, chips and battery systems. Semiconductor shortages in 2024 delayed the delivery of new autonomous fleets. The shift towards electric and hydrogen‑powered trucks introduces its own infrastructure constraints; hydrogen refuelling networks remain limited, though Shell expanded its stations in 2024.

Social and workforce impact: Labour organisations worry about displacement of drivers and dispatchers. While many experts see autonomous vehicles augmenting rather than replacing humans, job roles will evolve toward supervising fleets, managing exceptions and maintaining equipment. Workers will need retraining in data analysis, remote monitoring and AI oversight. Companies must manage this transition sensitively to avoid backlash and maintain morale.

Traditional Approaches vs. AI‑Powered Autonomy

Historically, logistics companies have addressed efficiency and capacity problems through incremental improvements. Route optimisation software and fleet management systems are already widely used by 31 % and 29 % of companies respectively. Predictive maintenance systems monitor engine health and reduce breakdowns; 25 % of companies have adopted them. These tools rely on AI but still require drivers to execute the routes.

Autonomous trucking represents a step change. Instead of simply telling a driver where to go, the AI takes over the steering wheel. The human becomes a dispatcher or remote supervisor who intervenes only when necessary. Adoption will therefore be more disruptive, requiring new workflows and risk management procedures. A phased approach – integrating advanced driver‑assistance systems (ADAS), tele‑operations and supervised autonomy before full autonomy – can help smooth the transition.

Hands‑On AI Toolkit for Autonomous Logistics

Moving from interest to implementation requires a deliberate, step‑by‑step approach. Here are practical steps supply‑chain leaders can take:

1. Assess use cases and ROI: Identify where autonomous trucks could provide the greatest benefit. Long‑haul middle‑mile corridors with predictable routes and high freight volumes are ideal. Create a business case comparing autonomous operations to traditional trucking, factoring in transit time reductions, fuel savings and labour availability.
2. Establish digital infrastructure: Autonomous vehicles generate massive amounts of sensor and telematics data. Invest in robust data management platforms that can ingest, store and process real‑time feeds. Ensure connectivity through 5G or dedicated V2X networks. Implement cybersecurity best practices to safeguard data and control systems.
3. Pilot driver‑assist technologies: Deploy ADAS features like adaptive cruise control, lane‑keeping and automated braking to build driver trust and gather data. These features already improve safety and fuel economy, acting as a stepping stone to higher levels of autonomy.
4. Partner with technology providers: Work with established autonomous trucking companies like Aurora, Kodiak, Gatik or Pony.ai, all of which have commercial pilots underway. Joint pilots provide access to expertise and allow carriers to learn operational and regulatory nuances.
5. Prepare people and processes: Create new roles for remote operators and fleet supervisors. Develop training programmes to teach employees how to monitor autonomous vehicles, interpret AI dashboard alerts and intervene when necessary. Establish clear handoff procedures for human intervention.
6. Engage regulators and communities: Stay informed about evolving laws. Participate in industry working groups advocating for consistent standards and share pilot data with regulators. Engage local communities early to build acceptance and address concerns about safety and jobs.
7. Scale gradually: After successful pilots, expand autonomy along additional lanes and integrate it with dispatch and TMS systems. Continue to monitor performance metrics and update AI models based on new data. Evaluate cost, safety and environmental performance regularly to justify expansion.

Conclusion

Autonomous trucks are transitioning from experimental prototypes to commercial reality. Surveys show logistics professionals view them as one of the most disruptive technologies on the horizon, and early deployments are already delivering impressive savings. The first autonomous freight corridor in the U.S. cut transit times by a quarter and operating costs by a third; major carriers like FedEx and Amazon are saving hundreds of millions while slashing emissions. Advances in sensors, AI and powertrains are enabling trucks to operate safely for longer hours, reduce empty miles and lower the industry’s carbon footprint. However, regulatory uncertainty, cybersecurity risks and supply‑chain constraints remain significant obstacles. To succeed, organisations must blend technological adoption with careful planning, workforce development and stakeholder engagement. By taking a phased and responsible approach today, supply‑chain leaders can position themselves to harness the full potential of autonomous trucks and usher in a new era of efficient, resilient and sustainable logistics.

References

1. Tech.co, The Logistics Industry Thinks Autonomous Vehicles Are the Future – August 2025. Provides survey data showing that 17 % of logistics professionals see autonomous trucks, ships and drones as the most disruptive technology over the next two to three years and that 42 % expect widespread use within 15 years; notes that only 7 % currently use autonomous tech and highlights adoption of AI route‑optimisation and fleet management tools.
2. World Economic Forum (cited via Reuters), Logistics firms plot a sea‑change in sustainability through AI and automation – January 2024. Explains that transport accounts for over 27 % of EU emissions and that driverless trucks can operate up to 78 % of the time compared with 29 % for conventional trucks; notes that AI packing software can reduce shipment volume by 50 %.
3. NACFE, The State of Autonomous Trucking in 2025: A Recap of 2024 – 2025. Reports on key milestones including the U.S. launching its first autonomous freight corridor (25 % faster transit times and 30 % lower costs) and case studies where FedEx saved over $200 million and Amazon cut delivery times by 20 % and emissions by 35 % using autonomous trucks; details technology innovations in LiDAR, radar and V2X systems and notes regulatory and supply‑chain challenges.
4. Reuters, Logistics firms plot a sea‑change in sustainability through AI and automation – 2024. Describes DHL’s OptiCarton software that saves 50 % of shipment space and Transmetrics’ AI tools that cut one litre of fuel per 100 km, emphasising route optimisation and fuel savings.
5. NACFE – Provides additional details on advanced sensor technologies and alternative fuel innovations, including long‑range LiDAR, extended‑range batteries and hydrogen fuel cell trucks, as well as cybersecurity incidents and legal hurdles.