Will AI Replace Trucking Jobs?

The specialist physical work of loading, positioning, and securing multiple vehicles onto multi-level trailers protects this role from the autonomous trucking wave that threatens general freight — 40% of task time involves hands-on work with no viable robotic alternative, and strong CDL/liability barriers reinforce protection for 5-10+ years.

UK Class 2 rigid truck drivers operate in the urban and regional environments that autonomous vehicles explicitly avoid — tight industrial estates, multi-drop deliveries, physical loading/unloading, and customer interaction. The acute driver shortage, strong licensing barriers, and the physical nature of the work keep this role protected for 5-10+ years, even as documentation and route planning tasks are displaced by AI.

Driving a removal van through residential streets and loading customers' belongings through unstructured domestic environments keeps this role firmly human. AI is transforming route planning, quoting, and scheduling, but the core work — navigating a loaded van through tight streets and carrying furniture down staircases — remains beyond any autonomous system. Safe for 10+ years.

This role is protected by irreducible physical skill — operating a hook loader in tight residential environments has no robotic or autonomous alternative. Safe for 10+ years.

Tanker driving is protected by irreducible physical hazmat handling, criminal liability barriers, and acute driver shortage — but compliance documentation and route planning are transforming through AI. Safe for 5+ years; the core role persists while admin tasks shift.

Core work — hooking, winching, and recovering vehicles in unstructured, unpredictable environments — is deeply protected by Moravec's Paradox. Safe for 10+ years.

Core work — recovering vehicles from RTC scenes, motorway incidents, and complex breakdowns using specialist equipment — is deeply protected by Moravec's Paradox. Safe for 15+ years.