Drive heavy trucks or tractor-trailer combinations to transport goods over local, regional, or long-haul routes.
Autonomous trucking has crossed from testing into driverless commercial freight on defined highway routes. The full occupation remains heterogeneous, but the central line-haul driving function can already be performed without a human on eligible corridors.
No occupation-wide inflection yet; contraction increasingly likely before or around 2030
The 2030 range remains near flat because deployment begins from a small fleet base. The 2035 downside is much larger because route networks, vehicle production and carrier adoption have time to scale.
Freight growth is the principal offset; it weakens as marginal freight is carried by autonomous trucks.
Route-level job substitution in autonomous-eligible long-haul.
Level 4 systems already move customer freight on public highways without a driver in the cab on defined commercial routes.
Directional summary of whether current evidence pushes EOL toward greater or lesser human labor demand relative to the occupation’s existing structural trajectory. It is categorical, not a probability, percentile, automation share, or mathematical adjustment.
Freight demand remains strong, but driverless commercial line-haul means additional freight can increasingly be carried without proportional additions of human drivers.
Heavy-truck driving has a large replacement burden, but its training pipeline is much shorter and more responsive than a degree-based profession. If autonomous trucking begins to reduce demand around the turn of the decade or in the early 2030s, fewer trainees, retirement, and turnover can absorb part of the adjustment. Recent trainees could still face deterioration, but the risk of a long delayed supply overhang is lower than in slower credential pipelines.
How EOL analyzes labor supply →