US 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 optimising systems that consume less energy per unit moved, operate for longer hours, reduce labour 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 US. Driverless trucks are hauling commercial loads in Texas, while AI is being deployed on Mississippi River tugs. 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 optimised and more productive. Transportation is the largest source of energy demand in the US, accounting for around 37 per cent of total energy consumption, according to the Energy Information Administration (EIA). It also accounts for around 70 per cent of total US demand for petroleum products. Any major overhaul of the transportation sector could therefore have far-reaching repercussions for both US and global energy markets over the next decade. 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 fertiliser, 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 four per cent of US transportation fuel use. Traditionally, river navigation depended on human experience. Captains relied on local knowledge, visual observation and accumulated judgement to navigate changing river conditions.