(The opinions expressed here are those of the author, a

columnist for Reuters.)

By Gavin Maguire

LITTLETON, Colorado, Aug 14 (Reuters) - U.S. transportation

has steadily become more efficient through advances in engine

technology, infrastructure upgrades and increasingly

sophisticated logistics networks.

The next wave is different. Automation is turning

transportation networks into continuously optimizing systems

that consume less energy per unit moved, operate for longer

hours, reduce labor bottlenecks and reshape demand for fuels and

electricity.

Across rivers, roads, rail and air, software increasingly

determines how energy is consumed and how goods move throughout

the U.S.

Driverless trucks are hauling commercial loads in Texas,

while AI is being deployed on Mississippi River towboats.

Railroads are relying more on machine vision and automated

inspection systems, as aviation regulators are preparing for a

future in which cargo flights may operate with far less human

involvement.

Viewed separately, these developments may appear

incremental. Together, they point to a freight economy that is

increasingly autonomous, continuously optimized and more

productive.

Transportation is the largest source of energy demand in the

U.S., accounting for around 37% of total energy consumption,

according to the Energy Information Administration (EIA). It

also accounts for around 70% of total U.S. demand for petroleum

products.

Any major overhaul of the transportation sector could

therefore have far-reaching repercussions for both U.S. and

global energy markets over the next decade.

THE MISSISSIPPI GOES DIGITAL

The oldest freight artery in North America - the Mississippi

River - is among the newest adopters of AI.

America's inland waterways move hundreds of millions of tons

of commodities annually, including fertilizer, grain, biofuel

feedstocks, petroleum products and chemicals.

The Mississippi system remains one of the most

energy-efficient ways to move bulk cargo, with waterborne

transportation accounting for only 4% of U.S. transportation

fuel use.

Traditionally, river navigation depended on human

experience. Captains relied on local knowledge, visual

observation and accumulated judgment to navigate changing river

conditions. That is changing.

Last year, Southern Devall installed Mythos AI's Advanced

Pilot Assist System on a commercial Mississippi River towboat,

introducing machine-learning navigation to the inland waterway.

The technology monitors hazards, tracks vessels, calculates

stopping distances, analyzes river conditions and identifies

fuel-saving strategies.

The implications extend beyond navigation.

River transportation already has a substantial

energy-efficiency advantage over trucking, as towboats let

buoyancy and the flow of the water do most of the work.

One gallon of fuel can currently move a one-ton cargo more

than 500 miles on a barge, compared to around 60 miles on a

truck, according to the U.S. Army Corps of Engineers.

Automation promises to widen that advantage by reducing fuel

waste, improving planning, minimizing delays and making barge

traffic more predictable.

This matters because many commodities traveling via these

waterways are themselves energy-related, from crude oil, coal

and fuel to biofuel inputs. Lower transportation costs can

ripple through commodity markets, ultimately resulting in lower

consumer prices for many energy-intensive goods and services.

TRUCKS THAT NEVER SLEEP

The most visible automation revolution is likely to be on

American highways. Trucks, which account for over 60% of total

U.S. transportation fuel use, are on the cusp of an autonomous

overhaul.

For decades, trucking improvements came from better engines,

aerodynamics, logistics software and trailers. Yet one

constraint remained unchanged: trucks stopped when drivers

stopped. Autonomous trucking seeks to remove that limitation.

Aurora Innovation ( AUR ) and other developers of

self-driving technology have demonstrated commercially viable

driverless freight operations in Texas. They are pursuing a

model in which trucks become near-continuous-use assets.

Rather than operating only within federally mandated driving

hours, autonomous trucks can theoretically move freight around

the clock.

This represents a different kind of productivity gain from

past transport advances.

The industrial era largely improved transportation by making

machines more powerful. Automation improves it by increasing

asset utilization.

A truck that moves freight for 20 hours per day instead of

10 effectively doubles the productivity of the capital invested

in the vehicle and reduces the amount of idle equipment required

across the freight network.

The energy implications are complex.

On one hand, automated systems can optimize speed, braking and

acceleration, reducing fuel consumption per mile. Better routing

and platooning - where trucks move in close convoys to reduce

drag - could further cut diesel use.

On the other hand, lower freight costs can stimulate demand.

History suggests efficiency improvements often increase overall

activity. If driverless systems sharply lower shipping costs,

freight volumes could rise enough to offset fuel savings.

However, over time, autonomous fleets could also accelerate

electric trucking through optimized charging schedules and

centralized fleet management. This would not merely reduce costs

but shift energy demand from diesel to electricity.

RAIL'S QUIET REVOLUTION

Railroads are the least discussed but most mature example of

automation. Unlike the headline-grabbing autonomous truck

narrative, rail automation is occurring behind the scenes

through sensors, digital mapping and predictive analytics.

Freight railroads are increasingly deploying automated track

inspection systems while trains remain in operation. Lasers,

cameras and machine-learning systems continuously monitor track

conditions, wheel integrity and equipment performance at speeds

and frequencies impossible to achieve through traditional

inspection methods.

This marks a fundamental shift from periodic inspection to

continuous monitoring.

Historically, rail maintenance depended on visual

inspections. Defects were usually identified after becoming

significant problems. Today, automated systems increasingly

identify issues long before they become operational risks.

Other significant rail sector breakthroughs include

Pathfinder, a plug-and-play device developed by Wabtec,

a major rail technology firm and locomotive manufacturer.

Pathfinder uses hardware and sensors to equip standard

locomotives with digital capabilities and cameras that support

autonomous operation.

With tens of thousands of locomotives in use throughout the

U.S., digital upgrades enabled by Pathfinder and other systems

could allow smaller railroad operators to upgrade train lines

with advanced autonomous technologies like Positive Train

Control and Trip Optimizer.

The benefits extend well beyond safety. More reliable

infrastructure helps move trains faster, reduce bottlenecks and

improve asset utilization.

Since rail is the most energy-efficient land transportation

mode - accounting for just 2% of total U.S. transportation fuel

use - any shift from truck to rail could reduce economy-wide

energy intensity.

That may prove one of automation's most overlooked energy

contributions: enabling greater use of transportation modes that

already consume less fuel per ton-mile.

AVIATION'S NEXT FRONTIER

Aviation remains the least automated transport sector, but

that may soon change. The Federal Aviation Administration (FAA)

has begun developing regulatory frameworks for increasingly

automated operations.

At the same time, companies such as Reliable Robotics are

pursuing FAA-certifiable autonomous cargo aircraft designed to

operate from gate to gate with remote supervision. The U.S. Air

Force is also investing in pilotless cargo aircraft that can

integrate into civilian airspace.

Aviation's automation case is largely about expanding

operational flexibility. Remote or autonomous cargo aircraft

could connect smaller communities, improve logistics resilience

and create new freight networks that are currently uneconomic.

Direct energy savings may be modest initially. Aircraft are

already heavily optimized, and aviation only accounts for 9% of

U.S. transportation fuel use. But automation could unlock new

transportation models, particularly in regional cargo, advanced

air mobility and electric-powered flights.

Aviation automation may resemble the early days of the

internet: the most important impacts may come not from making

existing activities cheaper but from creating alternative

options that previously did not exist.

WHAT THIS MEANS FOR ENERGY MARKETS

The common narrative surrounding transport automation is

that machines are replacing people. That is too narrow. The

better way to frame it is that software is replacing

inefficiency.

Idle trucks. Empty backhauls. River delays. Unnecessary fuel

burn. Preventable rail slowdowns. Underutilized aircraft. These

inefficiencies represent hidden energy consumption embedded

throughout the economy. Automation targets those losses

directly.

As transportation systems become more intelligent, freight

movements can become smoother, assets can operate for more

hours, maintenance can become predictive rather than reactive

and logistics networks can become increasingly synchronized.

The result may be an economy capable of moving significantly

more goods without a proportional increase in energy

consumption.

NON-STOP LOGISTICS?

Energy transitions are often understood as fuel transitions.

But history suggests the biggest economic transformations

frequently come from productivity transitions.

Steam power mattered because it multiplied human effort.

Electrification dramatically increased the productivity of

factories and households. Computing reduced the cost of

information.

Transportation automation belongs in that lineage. From

AI-assisted towboats on the Mississippi to autonomous trucks in

Texas, the U.S. is building a freight system that wastes less

time, burns less fuel and extracts more output from existing

infrastructure.

The most important transportation story of the next decade

may not be whether trucks run on diesel, batteries or hydrogen.

It may be whether they ever need to stop.

(The opinions expressed here are those of the author, a

columnist for Reuters.)

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